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Quantum computing is a rapidly developing field of computer science that explores the application of quantum mechanics to information processing. It promises to revolutionize the way we solve complex problems that are currently beyond the capabilities of classical computers. This PowerPoint presentation provides an introduction to the basics of quantum computing, including the principles of quantum mechanics, the properties of quantum bits or qubits, quantum entanglement, quantum superposition, and types of quantum computing .

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Quantum computing

Quantum computing is a type of computation that harnesses the collective properties of quantum states, such as superposition, interference, and entanglement, to perform calculations.
This presentation is designed to elucidate about the Quantum Computing - History - Principles - QUBITS - Quantum Computing Models - Applications - Advantages and Disadvantages.

Quantum computing

This presentation is about quantum computing.which going to be new technological concept for computer operating system.In this subject the research is going on.

Quantum computing

Quantum computing uses principles of quantum theory and qubits (quantum bits) that can represent superpositions of states to perform calculations. The document traces the history of quantum computing from its proposal in 1982 to modern developments. It explains key concepts like qubits, entanglement, and parallelism that allow quantum computers to solve certain problems like factorization and simulation much faster than classical computers. Recent progress in building quantum computers is discussed, including D-Wave Systems' quantum annealing approach. While obstacles remain, quantum computing could have important applications in networking, cryptography, and artificial intelligence.

QuantumComputersPresentation

This document summarizes quantum computing. It begins with an introduction explaining the differences between classical and quantum bits, with qubits being able to exist in superpositions of states. The history of quantum computing is discussed, including early explorations in the 1970s-80s and Peter Shor's breakthrough in 1994. D-Wave Systems is mentioned as the first company to develop a quantum computer in 2011. The scope, architecture, working principles, advantages and applications of quantum computing are then outlined at a high level. The document concludes by discussing the growing field of quantum computing research and applications.

Quantum computers

Quantum computers use principles of quantum mechanics rather than classical binary logic. They have qubits that can represent superpositions of 0 and 1, allowing massive parallelism. Key effects like superposition, entanglement, and tunneling give them advantages over classical computers for problems like factoring and searching. Early quantum computers have been built with up to a few hundred qubits, and algorithms like Shor's show promise for cryptography applications. However, challenges remain around error correction and controlling quantum states as quantum computers scale up. D-Wave has produced commercial quantum annealing systems with over 1000 qubits, but debate continues on whether these demonstrate quantum advantage. Overall, quantum computing could transform fields like AI, simulation, and optimization if challenges around building reliable large-scale quantum

Quantum Computation: What is it and Why?

Quantum computation uses the quantistic physics principles to store and to process information on computational devices.
Presentation for a workshop during the event "SUPER, Salone delle Startup e Imprese Innovative"

Quantum computing

Quantum computing harnesses the laws of quantum mechanics to process information using quantum bits (qubits) that can exist in superpositions of states. It allows qubits to be entangled so that measurements of one qubit instantly affect others. This enables quantum computers to potentially solve certain problems exponentially faster than classical computers by performing calculations on all possible combinations of inputs simultaneously. However, quantum systems are fragile and prone to decoherence, making it challenging to perform many logical operations before error occurs. While still in early stages of development, quantum computing shows promise for applications in optimization, machine learning, and other domains where large data sets require extensive processing.

Quantum computing

This document provides an introduction to quantum computing. It discusses how quantum computers work using quantum bits (qubits) that can exist in superpositions of states unlike classical bits. Qubits can become entangled so that operations on one qubit affect others. Implementing qubits requires isolating quantum systems to avoid decoherence. Challenges include controlling decoherence, but research continues on algorithms, hardware, and bringing theoretical quantum computers to practical use. Quantum computers may solve problems intractable for classical computers.

Quantum computing

Quantum computing is a type of computation that harnesses the collective properties of quantum states, such as superposition, interference, and entanglement, to perform calculations.
This presentation is designed to elucidate about the Quantum Computing - History - Principles - QUBITS - Quantum Computing Models - Applications - Advantages and Disadvantages.

Quantum computing

This presentation is about quantum computing.which going to be new technological concept for computer operating system.In this subject the research is going on.

Quantum computing

Quantum computing uses principles of quantum theory and qubits (quantum bits) that can represent superpositions of states to perform calculations. The document traces the history of quantum computing from its proposal in 1982 to modern developments. It explains key concepts like qubits, entanglement, and parallelism that allow quantum computers to solve certain problems like factorization and simulation much faster than classical computers. Recent progress in building quantum computers is discussed, including D-Wave Systems' quantum annealing approach. While obstacles remain, quantum computing could have important applications in networking, cryptography, and artificial intelligence.

QuantumComputersPresentation

This document summarizes quantum computing. It begins with an introduction explaining the differences between classical and quantum bits, with qubits being able to exist in superpositions of states. The history of quantum computing is discussed, including early explorations in the 1970s-80s and Peter Shor's breakthrough in 1994. D-Wave Systems is mentioned as the first company to develop a quantum computer in 2011. The scope, architecture, working principles, advantages and applications of quantum computing are then outlined at a high level. The document concludes by discussing the growing field of quantum computing research and applications.

Quantum computers

Quantum computers use principles of quantum mechanics rather than classical binary logic. They have qubits that can represent superpositions of 0 and 1, allowing massive parallelism. Key effects like superposition, entanglement, and tunneling give them advantages over classical computers for problems like factoring and searching. Early quantum computers have been built with up to a few hundred qubits, and algorithms like Shor's show promise for cryptography applications. However, challenges remain around error correction and controlling quantum states as quantum computers scale up. D-Wave has produced commercial quantum annealing systems with over 1000 qubits, but debate continues on whether these demonstrate quantum advantage. Overall, quantum computing could transform fields like AI, simulation, and optimization if challenges around building reliable large-scale quantum

Quantum Computation: What is it and Why?

Quantum computation uses the quantistic physics principles to store and to process information on computational devices.
Presentation for a workshop during the event "SUPER, Salone delle Startup e Imprese Innovative"

Quantum computing

Quantum computing harnesses the laws of quantum mechanics to process information using quantum bits (qubits) that can exist in superpositions of states. It allows qubits to be entangled so that measurements of one qubit instantly affect others. This enables quantum computers to potentially solve certain problems exponentially faster than classical computers by performing calculations on all possible combinations of inputs simultaneously. However, quantum systems are fragile and prone to decoherence, making it challenging to perform many logical operations before error occurs. While still in early stages of development, quantum computing shows promise for applications in optimization, machine learning, and other domains where large data sets require extensive processing.

Quantum computing

This document provides an introduction to quantum computing. It discusses how quantum computers work using quantum bits (qubits) that can exist in superpositions of states unlike classical bits. Qubits can become entangled so that operations on one qubit affect others. Implementing qubits requires isolating quantum systems to avoid decoherence. Challenges include controlling decoherence, but research continues on algorithms, hardware, and bringing theoretical quantum computers to practical use. Quantum computers may solve problems intractable for classical computers.

Quantum computing

A brief description on the basic working of Quantum computers ,it's applications and future prospects.

What is quantum computing

This presentation will be helpful for those college students who have to get the basic idea of quantum computing as well as quantum computers

Quantum Computing

Quantum computing is a new paradigm that utilizes quantum mechanics phenomena like superposition and entanglement. It has the potential to solve certain problems exponentially faster than classical computers by using qubits that can be in superposition of states. Some key applications are factoring, simulation, and optimization problems. However, building large-scale quantum computers faces challenges like preventing decoherence of qubits and developing error correction techniques. While still in development, quantum computing could revolutionize fields like encryption, communication, and material science in the future through a hybrid model combining classical and quantum processing.

Quantum computing

Quantum computing uses quantum bits (qubits) that can exist in superpositions of states rather than just 1s and 0s. This allows quantum computers to perform exponentially more calculations in parallel than classical computers. Some of the main challenges to building quantum computers are preventing qubit decoherence from environmental interference, developing effective error correction methods, and observing outputs without corrupting data. Quantum computers may one day be able to break current encryption methods and solve optimization problems much faster than classical computers.

Quantum Computing

A file on Quantum Computing for people with least knowledge about physics, electronics, computers and programming. Perfect for people with management backgrounds. Covers understandable details about the topic.
Quantum Computers are the future and this manual explains the topic in the best possible way.

Quantum Computers new Generation of Computers part 7 by prof lili saghafi Qua...

Quantum Computers new Generation of Computers part 7 by prof lili saghafi Qua...Professor Lili Saghafi

Quantum algorithm
algorithm for factoring, the general number field sieve
Optimization algorithm
deterministic quantum algorithm Deutsch-Jozsa algorithm
Entanglement
Enigma
Quantum TeleportationQuantum computers

A quantum computer uses quantum mechanics phenomena like superposition and entanglement to perform calculations exponentially faster than classical computers. It uses quantum bits (qubits) that can be in superposition of states 0 and 1, allowing massive parallelism. However, quantum computers are very difficult to build due to challenges like decoherence where external noise disrupts the fragile quantum states. If developed further, quantum computers could break current encryption methods and vastly accelerate tasks like database searching and optimization problems.

quantum computing

This document discusses quantum computing applications in the financial sector. It describes how quantum computers work using qubits that can be in multiple states at once, allowing for greater processing power. Examples of applications include improving traffic management through quantum machine learning, predicting crimes using social media analysis, and addressing the COVID pandemic through computational chemistry. Major companies developing quantum computing include Microsoft, Google, which has achieved quantum supremacy. The document also discusses how quantum cryptography can enhance banking security through quantum key distribution and the ability to detect any third party interference.

Quantum computer

-It is a good ppt for a beginner to learn about Quantum
Computer.
-Quantum computer a solution for every present day computing
problems.
-Quantum computer a best solution for AI making

Quantum computing

brief introduction of quantum mechanics, wave particle duality, quantum computing, quantum superposition, paralellism and entanglement, quantum hardware, software applications, advantages challenges and future of quantum computing.

Quantum Computing

This is a seminar on Quantum Computing given on 9th march 2017 at CIME, Bhubaneswar by me(2nd year MCA).
Video at - https://youtu.be/vguxg0RYg7M
PDF at - http://www.slideshare.net/deepankarsandhibigraha/quantum-computing-73031375

Quantum computer

This document provides an overview of quantum computing, including its history, basic concepts, applications, advantages, difficulties, and future directions. It discusses how quantum computing originated in the 1980s with the goal of building a computer that is millions of times faster than classical computers and theoretically uses no energy. The basic concepts covered include quantum mechanics, superpositioning, qubits, quantum gates, and how quantum computers could perform calculations that are intractable on classical computers, such as factoring large numbers. The document also outlines some of the challenges facing quantum computing as well as potential future advances in the field.

Quantum computing

This document provides an overview of quantum computing. It outlines the key features of quantum computing including qubits, superposition, entanglement, and interference. It describes quantum algorithms like Shor's algorithm and Grover's algorithm. It also discusses quantum logic gates, advantages and disadvantages of quantum computing, current applications in artificial intelligence, cryptography, and simulation. The document concludes that quantum computing is an emerging technology that could be used more efficiently for complex tasks in the future.

Quantum computing - Introduction

This document discusses the history and future of quantum computing. It explains how quantum computers work using principles of quantum mechanics like superposition and entanglement. Quantum computers can perform multiple computations simultaneously by exploiting the ability of qubits to exist in superposition. Current research involves building larger quantum registers with more qubits and performing calculations with 2 qubits. The future of quantum computing may enable solving certain problems much faster than classical computers, with desktop quantum computers potentially arriving within 10 years.

Quantum Computing ppt

This seminar presentation provides an introduction to quantum computing, including its history, why it is important, how it works, potential applications, challenges, and conclusions. Specifically, it discusses how quantum computers use quantum mechanics principles like qubits and superposition to perform calculations. The history includes early proposals in 1982 and key algorithms developed in the 1990s. Applications that could benefit from quantum computing are mentioned like cryptography, artificial intelligence, and communication. Issues like error correction, decoherence, and cost are also presented. In conclusion, quantum computers may be able to simulate physical systems and even develop artificial intelligence.

Quantum Computing

The document provides an overview of quantum computing, including its history, data representation using qubits, quantum gates and operations, and Shor's algorithm for integer factorization. Shor's algorithm uses quantum parallelism and the quantum Fourier transform to find the period of a function, from which the factors of a number can be determined. While quantum computing holds promise for certain applications, classical computers will still be needed and future computers may be a hybrid of classical and quantum components.

Quantum computer

Quantum computers perform calculations using quantum mechanics and qubits that can represent superpositions of states. While classical computers use bits that are either 0 or 1, qubits can be both 0 and 1 simultaneously. This allows quantum computers to massively parallelize computations. Some potential applications include simulating molecular interactions for drug development, breaking encryption standards, and optimizing machine learning models. Several companies are working to develop quantum computers, but building large-scale, reliable versions remains a challenge due to the difficulty of controlling qubits.

Quantum computing

This document provides an overview of quantum computing. It defines quantum as the smallest possible unit of physical properties like energy or matter. Quantum computers use quantum phenomena like superposition and entanglement to perform operations on quantum bits (qubits). Qubits can exist in multiple states simultaneously, unlike classical computer bits which are either 0 or 1. The document outlines how quantum computers work based on quantum principles and can solve certain problems exponentially faster than classical computers. It also compares classical computers to quantum computers and discusses potential applications of quantum computing in areas like artificial intelligence, cryptography, and molecular modeling.

Quantum Computing Explained

A quantum computer performs calculations based on quantum mechanics, the behavior of particles at the subatomic level. Unlike conventional computers that use bits of 0s and 1s, quantum computers use quantum bits or qubits that can be 0 and 1 simultaneously. This superposition allows quantum computers to manipulate enormous combinations of states at once, potentially performing calculations millions of times faster than classical computers. If built, quantum computers could revolutionize computing in the 21st century by tapping directly into the vast potential of quantum mechanics.

Quantum Computers

1) Quantum computers operate using quantum bits (qubits) that can exist in superpositions of states rather than just 1s and 0s like classical bits.
2) Keeping qubits coherent and isolated from the external environment is extremely challenging as interaction causes decoherence within nanoseconds to seconds.
3) While prototypes of 5-7 qubit quantum computers exist, scaling them up to practical sizes of 50-100 qubits or more to outperform classical computers remains an outstanding challenge due to decoherence issues.

Aditya kulshreshtha, (QUANTUM COMPUTING)

This document provides an introduction to quantum computing, including its history, key concepts, applications, and current challenges. Some of the main points covered include:
- Quantum computing uses quantum phenomena like superposition and entanglement to perform operations on quantum bits (qubits).
- Important quantum computing concepts include qubits, quantum information, superposition, entanglement, teleportation, and parallelism.
- Potential applications include quantum networking, secure communications, artificial intelligence, and molecular simulations.
- Current challenges to developing quantum computers include limited qubit numbers and physical machine size. Further development could revolutionize computation for certain problems.

Quantum Computing

Nanotechnology involves manipulating matter at the atomic scale between 1 to 100 nanometers. It has applications in quantum computing which operates at the quantum level using quantum bits that can represent both 1s and 0s through superposition and entanglement. While a quantum computer could solve certain problems much faster than classical computers by processing vast amounts of calculations simultaneously, they still face limitations such as unpredictability, difficulty retrieving data, and requiring total isolation from the environment to maintain fragile quantum states.

Quantum computing

A brief description on the basic working of Quantum computers ,it's applications and future prospects.

What is quantum computing

This presentation will be helpful for those college students who have to get the basic idea of quantum computing as well as quantum computers

Quantum Computing

Quantum computing is a new paradigm that utilizes quantum mechanics phenomena like superposition and entanglement. It has the potential to solve certain problems exponentially faster than classical computers by using qubits that can be in superposition of states. Some key applications are factoring, simulation, and optimization problems. However, building large-scale quantum computers faces challenges like preventing decoherence of qubits and developing error correction techniques. While still in development, quantum computing could revolutionize fields like encryption, communication, and material science in the future through a hybrid model combining classical and quantum processing.

Quantum computing

Quantum computing uses quantum bits (qubits) that can exist in superpositions of states rather than just 1s and 0s. This allows quantum computers to perform exponentially more calculations in parallel than classical computers. Some of the main challenges to building quantum computers are preventing qubit decoherence from environmental interference, developing effective error correction methods, and observing outputs without corrupting data. Quantum computers may one day be able to break current encryption methods and solve optimization problems much faster than classical computers.

Quantum Computing

A file on Quantum Computing for people with least knowledge about physics, electronics, computers and programming. Perfect for people with management backgrounds. Covers understandable details about the topic.
Quantum Computers are the future and this manual explains the topic in the best possible way.

Quantum Computers new Generation of Computers part 7 by prof lili saghafi Qua...

Quantum Computers new Generation of Computers part 7 by prof lili saghafi Qua...Professor Lili Saghafi

Quantum algorithm
algorithm for factoring, the general number field sieve
Optimization algorithm
deterministic quantum algorithm Deutsch-Jozsa algorithm
Entanglement
Enigma
Quantum TeleportationQuantum computers

A quantum computer uses quantum mechanics phenomena like superposition and entanglement to perform calculations exponentially faster than classical computers. It uses quantum bits (qubits) that can be in superposition of states 0 and 1, allowing massive parallelism. However, quantum computers are very difficult to build due to challenges like decoherence where external noise disrupts the fragile quantum states. If developed further, quantum computers could break current encryption methods and vastly accelerate tasks like database searching and optimization problems.

quantum computing

This document discusses quantum computing applications in the financial sector. It describes how quantum computers work using qubits that can be in multiple states at once, allowing for greater processing power. Examples of applications include improving traffic management through quantum machine learning, predicting crimes using social media analysis, and addressing the COVID pandemic through computational chemistry. Major companies developing quantum computing include Microsoft, Google, which has achieved quantum supremacy. The document also discusses how quantum cryptography can enhance banking security through quantum key distribution and the ability to detect any third party interference.

Quantum computer

-It is a good ppt for a beginner to learn about Quantum
Computer.
-Quantum computer a solution for every present day computing
problems.
-Quantum computer a best solution for AI making

Quantum computing

brief introduction of quantum mechanics, wave particle duality, quantum computing, quantum superposition, paralellism and entanglement, quantum hardware, software applications, advantages challenges and future of quantum computing.

Quantum Computing

This is a seminar on Quantum Computing given on 9th march 2017 at CIME, Bhubaneswar by me(2nd year MCA).
Video at - https://youtu.be/vguxg0RYg7M
PDF at - http://www.slideshare.net/deepankarsandhibigraha/quantum-computing-73031375

Quantum computer

This document provides an overview of quantum computing, including its history, basic concepts, applications, advantages, difficulties, and future directions. It discusses how quantum computing originated in the 1980s with the goal of building a computer that is millions of times faster than classical computers and theoretically uses no energy. The basic concepts covered include quantum mechanics, superpositioning, qubits, quantum gates, and how quantum computers could perform calculations that are intractable on classical computers, such as factoring large numbers. The document also outlines some of the challenges facing quantum computing as well as potential future advances in the field.

Quantum computing

This document provides an overview of quantum computing. It outlines the key features of quantum computing including qubits, superposition, entanglement, and interference. It describes quantum algorithms like Shor's algorithm and Grover's algorithm. It also discusses quantum logic gates, advantages and disadvantages of quantum computing, current applications in artificial intelligence, cryptography, and simulation. The document concludes that quantum computing is an emerging technology that could be used more efficiently for complex tasks in the future.

Quantum computing - Introduction

This document discusses the history and future of quantum computing. It explains how quantum computers work using principles of quantum mechanics like superposition and entanglement. Quantum computers can perform multiple computations simultaneously by exploiting the ability of qubits to exist in superposition. Current research involves building larger quantum registers with more qubits and performing calculations with 2 qubits. The future of quantum computing may enable solving certain problems much faster than classical computers, with desktop quantum computers potentially arriving within 10 years.

Quantum Computing ppt

This seminar presentation provides an introduction to quantum computing, including its history, why it is important, how it works, potential applications, challenges, and conclusions. Specifically, it discusses how quantum computers use quantum mechanics principles like qubits and superposition to perform calculations. The history includes early proposals in 1982 and key algorithms developed in the 1990s. Applications that could benefit from quantum computing are mentioned like cryptography, artificial intelligence, and communication. Issues like error correction, decoherence, and cost are also presented. In conclusion, quantum computers may be able to simulate physical systems and even develop artificial intelligence.

Quantum Computing

The document provides an overview of quantum computing, including its history, data representation using qubits, quantum gates and operations, and Shor's algorithm for integer factorization. Shor's algorithm uses quantum parallelism and the quantum Fourier transform to find the period of a function, from which the factors of a number can be determined. While quantum computing holds promise for certain applications, classical computers will still be needed and future computers may be a hybrid of classical and quantum components.

Quantum computer

Quantum computers perform calculations using quantum mechanics and qubits that can represent superpositions of states. While classical computers use bits that are either 0 or 1, qubits can be both 0 and 1 simultaneously. This allows quantum computers to massively parallelize computations. Some potential applications include simulating molecular interactions for drug development, breaking encryption standards, and optimizing machine learning models. Several companies are working to develop quantum computers, but building large-scale, reliable versions remains a challenge due to the difficulty of controlling qubits.

Quantum computing

This document provides an overview of quantum computing. It defines quantum as the smallest possible unit of physical properties like energy or matter. Quantum computers use quantum phenomena like superposition and entanglement to perform operations on quantum bits (qubits). Qubits can exist in multiple states simultaneously, unlike classical computer bits which are either 0 or 1. The document outlines how quantum computers work based on quantum principles and can solve certain problems exponentially faster than classical computers. It also compares classical computers to quantum computers and discusses potential applications of quantum computing in areas like artificial intelligence, cryptography, and molecular modeling.

Quantum Computing Explained

A quantum computer performs calculations based on quantum mechanics, the behavior of particles at the subatomic level. Unlike conventional computers that use bits of 0s and 1s, quantum computers use quantum bits or qubits that can be 0 and 1 simultaneously. This superposition allows quantum computers to manipulate enormous combinations of states at once, potentially performing calculations millions of times faster than classical computers. If built, quantum computers could revolutionize computing in the 21st century by tapping directly into the vast potential of quantum mechanics.

Quantum Computers

1) Quantum computers operate using quantum bits (qubits) that can exist in superpositions of states rather than just 1s and 0s like classical bits.
2) Keeping qubits coherent and isolated from the external environment is extremely challenging as interaction causes decoherence within nanoseconds to seconds.
3) While prototypes of 5-7 qubit quantum computers exist, scaling them up to practical sizes of 50-100 qubits or more to outperform classical computers remains an outstanding challenge due to decoherence issues.

Quantum computing

Quantum computing

What is quantum computing

What is quantum computing

Quantum Computing

Quantum Computing

Quantum computing

Quantum computing

Quantum Computing

Quantum Computing

Quantum Computers new Generation of Computers part 7 by prof lili saghafi Qua...

Quantum Computers new Generation of Computers part 7 by prof lili saghafi Qua...

Quantum computers

Quantum computers

quantum computing

quantum computing

Quantum computer

Quantum computer

Quantum computing

Quantum computing

Quantum Computing

Quantum Computing

Quantum computer

Quantum computer

Quantum computing

Quantum computing

Quantum computing - Introduction

Quantum computing - Introduction

Quantum Computing ppt

Quantum Computing ppt

Quantum Computing

Quantum Computing

Quantum computer

Quantum computer

Quantum computing

Quantum computing

Quantum Computing Explained

Quantum Computing Explained

Quantum Computers

Quantum Computers

Aditya kulshreshtha, (QUANTUM COMPUTING)

This document provides an introduction to quantum computing, including its history, key concepts, applications, and current challenges. Some of the main points covered include:
- Quantum computing uses quantum phenomena like superposition and entanglement to perform operations on quantum bits (qubits).
- Important quantum computing concepts include qubits, quantum information, superposition, entanglement, teleportation, and parallelism.
- Potential applications include quantum networking, secure communications, artificial intelligence, and molecular simulations.
- Current challenges to developing quantum computers include limited qubit numbers and physical machine size. Further development could revolutionize computation for certain problems.

Quantum Computing

Nanotechnology involves manipulating matter at the atomic scale between 1 to 100 nanometers. It has applications in quantum computing which operates at the quantum level using quantum bits that can represent both 1s and 0s through superposition and entanglement. While a quantum computer could solve certain problems much faster than classical computers by processing vast amounts of calculations simultaneously, they still face limitations such as unpredictability, difficulty retrieving data, and requiring total isolation from the environment to maintain fragile quantum states.

quantum computing22.pptx

Quantum computing is a rapidly emerging technology that uses principles of quantum mechanics like superposition and entanglement to perform operations on quantum bits (qubits) and solve complex problems. It has the potential to vastly outperform classical computers for certain problems. The document discusses key aspects of quantum computing including how it differs from classical computing, what qubits are, how quantum computers work using elements like superconductors and Josephson junctions, and potential applications in areas like artificial intelligence, drug development, weather forecasting, and cybersecurity. It also covers advantages like speed and ability to solve complex problems, as well as current disadvantages like difficulty to build and susceptibility to errors.

Quantum computing ppt.pptx

Quantum computing harnesses the laws of quantum mechanics to solve complex problems too difficult for classical computers. A qubit, the basic unit of information in a quantum computer, can exist in superpositions of states allowing quantum computers to test an exponential number of solutions simultaneously. This enables quantum algorithms to find solutions to problems like protein folding that would take classical computers thousands of years to solve. While quantum computing promises vast speedups, challenges remain in developing algorithms, maintaining the extremely cold temperatures needed, and scaling to larger numbers of qubits.

An Introduction to Quantum computing

Quantum Computing: Fundamentals (Superposition, interference, entanglement), Applications(Materials, medical, teleportation, data modeling, finance), and Challenges(scalability, decoherence, fault tolerance ).

Quantum computers

Quantum computers are still theoretical but could perform certain calculations much faster than classical computers. They use quantum bits that can exist in superposition and entanglement, allowing them to represent multiple states simultaneously. Current quantum computers have only manipulated a few qubits, but applications could include factoring large numbers and rapidly searching large databases. Significant challenges remain in developing practical quantum computers that can maintain quantum states long enough to perform useful computations.

Seminar

This document discusses quantum computers, which harness quantum phenomena like superposition and entanglement to perform operations. A qubit, the basic unit of information in a quantum computer, can exist in multiple states simultaneously. While this allows massive parallelism and an exponential increase in computational power over classical computers, building large-scale quantum computers faces challenges in maintaining coherence. Potential applications include cryptography, optimization problems, and software testing due to quantum computers' probabilistic solving approach.

Strengths and limitations of quantum computing

Quantum computing as a research field has been around for about 30 years. It seems like a way to overcome the challenges that classical (boolean based) computers are facing due to “quantum tunneling” effect. Although, there are various theoretical and practical challenges that are needed to be dealt with if we want quantum computes to perform better that classical computers (i.e achieving “quantum supremacy”). This seminar will aim to shed light on basics of quantum computing and its strengths and weaknesses.
Video Links
Part 1: https://www.youtube.com/watch?v=-WLD_HnUvy0
Part 2: https://www.youtube.com/watch?v=xXzUmpk8ztU

Quantum & AI in Finance

Quantum algorithms like VQE and QAOA were used to analyze the impact of COVID-19 on optimal portfolio selection across different industries. Three time periods were considered - pre-COVID, during COVID, and post-COVID. Results found that COVID disrupted optimal portfolios, with sectors like retail, technology and automotive favored more pre-COVID, while oil/gas and airlines/hospitality favored post-COVID. Quantum algorithms provided comparable results to classical methods like Markowitz for portfolio optimization under changing market conditions from the pandemic.

Introduction to Quantum Computing - Copy.pptx

its all about how quantum computing works and how it can change the whole world. the real cases and the current companies who are working on the quantum computers and how they are going to affect the world.

Ibm quantum computing

The document provides an overview of quantum computing concepts and the IBM Quantum Experience platform. It begins with a short history of quantum computing developments from the 1930s to present. It then explains basic quantum concepts like qubits, superposition, entanglement, and quantum gates. The document outlines requirements for building a quantum computer, including well-defined qubits, initialization, gates, coherence times, and measurement. It describes the IBM Quantum Experience as a platform that provides access to an actual quantum processor via the cloud, along with simulation and tutorial capabilities. Users can design circuits using a graphical Quantum Composer interface and run algorithms on real quantum hardware or simulation.

Quantum & AI in Finance

Quantum computing has the potential to solve certain problems exponentially faster than classical computers by exploiting principles like superposition, entanglement, and interference. Current quantum computers with 50-100 qubits operate in the Noisy Intermediate-Scale Quantum (NISQ) era and use algorithms like the Variational Quantum Eigensolver (VQE) that are hybrid quantum-classical and incorporate techniques like quantum error mitigation. Major players in the field include IBM, Google, and Rigetti who are developing quantum hardware and software for applications in optimization, simulation, and machine learning.

quantumcomputer-190731154949.pptx

Quantum computing utilizes quantum mechanics phenomena like superposition and entanglement to perform calculations. While classical computers use bits that are either 1 or 0, quantum computers use quantum bits or qubits that can be both 1 and 0 simultaneously. This allows quantum computers to massively parallel processes and solve certain problems like factoring large numbers much faster than classical computers. Several companies are working on building quantum computers but challenges remain in building stable and large-scale quantum systems. Quantum computing could revolutionize fields like optimization, machine learning, drug development and more once fully developed.

Quantum Computing Quantum Internet 2020_unit 1 By: Prof. Lili Saghafi

This document provides an introduction to quantum computing and the quantum internet. It begins by discussing the challenges of scaling up quantum computers from manipulating one qubit to many qubits. Some potential applications of quantum computers are also mentioned, such as simulating molecules and materials. The document then introduces the concept of the quantum internet, comparing it to the early stages of the classical internet in the 1960s. It discusses how a quantum node network could enable the transmission of qubits between nodes and the creation of entanglement across distances. Finally, some early history of the classical internet is reviewed, including the development of ARPANET in the late 1960s.

Quantum computing1

On the atomic scale matter obeys the rules of quantum mechanics, which are quite different from the classical rules that determine the properties of conventional logic gates. So if computers are to become smaller in the future, new, quantum technology must replace or supplement for this.

Quantum comput ing

This document provides an overview of quantum computing. It discusses how quantum computing works using quantum bits that can exist in superposition allowing both 1s and 0s to be represented simultaneously. Several methods for demonstrating quantum computing are described, including nuclear magnetic resonance, ion traps, quantum dots, and optical techniques. Quantum computing provides advantages like faster processing speeds and an exponential increase in storage capacity. Challenges that must be overcome include error correction and fighting decoherence. The document outlines desirable features for an ideal quantum computing system.

Quantum computing ajay.pptx

Quantum computing harnesses the laws of quantum mechanics to perform calculations exponentially faster than classical computers. It uses quantum bits that can represent both 1s and 0s through superposition and entanglement. While classical computers use binary digits that are either 1 or 0, quantum computers use quantum bits that can be 1, 0, or both at the same time. This allows quantum computers to perform parallel processing. Several companies are researching quantum computing including D-Wave, 1QB Information Technologies, and Cambridge Quantum Computing with potential applications in weather forecasting, drug discovery, and cryptography.

Quantum communication and quantum computing

Abstract: The subject of quantum computing brings together ideas from classical information theory, computer
science, and quantum physics. This review aims to summarize not just quantum computing, but the whole
subject of quantum information theory. Information can be identified as the most general thing which must
propagate from a cause to an effect. It therefore has a fundamentally important role in the science of physics.
However, the mathematical treatment of information, especially information processing, is quite recent, dating
from the mid-20th century. This has meant that the full significance of information as a basic concept in physics
is only now being discovered. This is especially true in quantum mechanics. The theory of quantum information
and computing puts this significance on a firm footing, and has led to some profound and exciting new insights
into the natural world. Among these are the use of quantum states to permit the secure transmission of classical
information (quantum cryptography), the use of quantum entanglement to permit reliable transmission of
quantum states (teleportation), the possibility of preserving quantum coherence in the presence of irreversible
noise processes (quantum error correction), and the use of controlled quantum evolution for efficient
computation (quantum computation). The common theme of all these insights is the use of quantum
entanglement as a computational resource.
Keywords: quantum bits, quantum registers, quantum gates and quantum networks

Quantum Computing Applications in Power Systems

1. Quantum computing is the research area centered on creating computer technology that uses quantum theory concepts that explain the nature and conduct of energy and matter at the level of the quantum (atomic and subatomic).
2. A quantum computer could achieve enormous processing power through multi-state capacity and execute functions simultaneously using all possible permutations.
3. This paper explores how quantum computing could improve analytical and computing capabilities for solving power system problems by enabling parallel processing across many potential solutions simultaneously.

Quantum nature poli_mi_ddm_200115

This document discusses quantum computing technologies including quantum supremacy, quantum sensors, and the quantum internet. It provides information on Google's quantum computer Sycamore and its processing of 53 qubits in 200 seconds, which would take thousands of years for a classical computer. It also discusses the development of quantum hardware companies, investments in quantum computing, and potential applications in encryption, imaging, and materials modeling. Barriers to progress mentioned include the short coherence times of quantum systems and challenges in scaling to larger numbers of high-quality qubits. The document aims to provide an overview of the current state of quantum technologies for internal business use at Juniper.

Aditya kulshreshtha, (QUANTUM COMPUTING)

Aditya kulshreshtha, (QUANTUM COMPUTING)

Quantum Computing

Quantum Computing

quantum computing22.pptx

quantum computing22.pptx

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Quantum computing ppt.pptx

An Introduction to Quantum computing

An Introduction to Quantum computing

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Seminar

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Strengths and limitations of quantum computing

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Quantum & AI in Finance

Introduction to Quantum Computing - Copy.pptx

Introduction to Quantum Computing - Copy.pptx

Ibm quantum computing

Ibm quantum computing

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Quantum & AI in Finance

quantumcomputer-190731154949.pptx

quantumcomputer-190731154949.pptx

Quantum Computing Quantum Internet 2020_unit 1 By: Prof. Lili Saghafi

Quantum Computing Quantum Internet 2020_unit 1 By: Prof. Lili Saghafi

Quantum computing1

Quantum computing1

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Quantum comput ing

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Quantum computing ajay.pptx

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Quantum communication and quantum computing

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Quantum Computing Applications in Power Systems

Quantum nature poli_mi_ddm_200115

Quantum nature poli_mi_ddm_200115

Astute Business Solutions | Oracle Cloud Partner |

Your goto partner for Oracle Cloud, PeopleSoft, E-Business Suite, and Ellucian Banner. We are a firm specialized in managed services and consulting.

HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU

Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen

Digital Marketing Trends in 2024 | Guide for Staying Ahead

https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.

[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...

The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.

Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians

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Slides from event

Building Production Ready Search Pipelines with Spark and Milvus

Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.

Generating privacy-protected synthetic data using Secludy and Milvus

During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.

Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency

Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.

Programming Foundation Models with DSPy - Meetup Slides

Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.

Apps Break Data

How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?

Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors

Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
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Charlie Greenberg, host

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This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).

Y-Combinator seed pitch deck template PP

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HCL Notes and Domino License Cost Reduction in the World of DLAU

Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
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You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/

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Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
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Astute Business Solutions | Oracle Cloud Partner |

Astute Business Solutions | Oracle Cloud Partner |

HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU

HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU

Digital Marketing Trends in 2024 | Guide for Staying Ahead

Digital Marketing Trends in 2024 | Guide for Staying Ahead

[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...

[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...

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Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians

Nordic Marketo Engage User Group_June 13_ 2024.pptx

Nordic Marketo Engage User Group_June 13_ 2024.pptx

Building Production Ready Search Pipelines with Spark and Milvus

Building Production Ready Search Pipelines with Spark and Milvus

Generating privacy-protected synthetic data using Secludy and Milvus

Generating privacy-protected synthetic data using Secludy and Milvus

Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency

Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency

Programming Foundation Models with DSPy - Meetup Slides

Programming Foundation Models with DSPy - Meetup Slides

Apps Break Data

Apps Break Data

Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors

Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors

Dandelion Hashtable: beyond billion requests per second on a commodity server

Dandelion Hashtable: beyond billion requests per second on a commodity server

Y-Combinator seed pitch deck template PP

Y-Combinator seed pitch deck template PP

What is an RPA CoE? Session 1 – CoE Vision

What is an RPA CoE? Session 1 – CoE Vision

WeTestAthens: Postman's AI & Automation Techniques

WeTestAthens: Postman's AI & Automation Techniques

Skybuffer SAM4U tool for SAP license adoption

Skybuffer SAM4U tool for SAP license adoption

HCL Notes and Domino License Cost Reduction in the World of DLAU

HCL Notes and Domino License Cost Reduction in the World of DLAU

The Microsoft 365 Migration Tutorial For Beginner.pptx

The Microsoft 365 Migration Tutorial For Beginner.pptx

Choosing The Best AWS Service For Your Website + API.pptx

Choosing The Best AWS Service For Your Website + API.pptx

- 1. Presented By – Biswadeep Mukhopadhyay Roll No.: CTS/20/602 Department of Computer Science 5th Semester, 3rd Year
- 2. “ ” Max Planck Father of Quantum Physics
- 3. Sl No. Topic Slide No. 1 Introduction 4 2 QUBIT 5 - 6 3 Evolution of Quantum Computing 7 4 Quantum Superposition 8 5 Quantum Entanglement 9 6 How does a Quantum Computer Works ? 10 - 11 7 Why Quantum Computing ? 12 8 Types of Quantum Computing 13 - 17 9 Drawbacks 18 10 Tech-Giants’ Utilizing Quantum Computing 19 11 Conclusion 20
- 4. • Quantum computing is an area of computer science that uses the principles of quantum theory. Quantum theory explains the behavior of energy and material on the atomic and subatomic levels. • Quantum computing uses subatomic particles, such as electrons or photons. Quantum bits, or qubits, allow these particles to exist in more than one state (i.e., 1 and 0) at the same time.
- 5. • A qubit is a two-level quantum system where the two basis qubit states are usually written as 1 2 ∣ 0⟩ and 1 2 ∣ 1⟩. • A qubit can be in state 1 2 ∣ 0⟩ and 1 2 ∣ 1⟩ or (unlike a classical bit) in a linear combination of both states. The name of this phenomenon is superposition.
- 7. • 1982 – Richard Feyman proposed the idea of creating machine based on the laws of quantum mechanics. • 1985 – David Deutsch developed the quantum Turing machine, showing that quantum circuits are universal. • 1994 – Peter Shor came up with a quantum algorithm to factor very large numbers in polynomial time. • 1997 – Lov Grover develops a quantum search algorithm with O( 𝑁) complexity.
- 8. • The quantum system is capable of being in several different states at the same time. • Example – Young’s Double Slit Experiment
- 9. • It is an extremely strong correlation that exists between quantum particles • Two or more quantum particles can be inextricably linked in perfect unis- on, even when placed at opposite ends of the universe. • This seemingly impossible connection inspired Einstein to describe entanglement as “Spooky action at a distance”.
- 10. Let’s say you invite five colleagues to your wedding, and you need to plan their seating arrangements. The total number of ways to do so is 5! = 120. Now, a conventional computing system tends to evaluate each of the 120 possibilities, compare them, and then decide on the final optimization. However, a quantum computer undertakes the following steps for optimizing seat allocation:
- 11. 1.Considers qubits and creates quantum superposition for all possible quantum states. 2.The encoder applies phases to each quantum state and configures the qubits. For the possible sitting ways that fall in phase, the amplitudes add up, while for the out-of-phase ways, the amplitudes cancel out. 3.The quantum computer then uses interference to reinforce or amplify some answers and cancel or diminish the others. As a result, a single solution for optimized seat allocation is finally reached.
- 12. • Quantum computers take up a fraction of the space of classical computers. • Level of power that can find solutions to problems out of the reach of today's computers. • By decreasing the size of transistors we are gradually approaching to the atom stage, beyond which we can’t move down except applying the quantum mechanics which in-turn give rise to quantum computing. • "A quantum computer can create superposition with multiple probabilities that we cannot achieve today, let alone examine the features of those probabilities. With this type of application, the quantum computer will be much more efficient than a classical computer,” asserts García Ripoll.
- 14. • Quantum annealing is best for solving optimization problems. • Quantum annealing is the least powerful and most narrowly applied form of quantum computing. • For example, Volkswagen (VW) recently conducted a quantum experiment to optimize traffic flows in the overcrowded city of Beijing, China. The experiment was run in partnership with Google and D-Wave Systems. The algorithm could successfully reduce traffic by choosing the ideal path for each vehicle, according to VW. Classical computers would take thousands of years to compute the optimum solution to such a problem. Quantum computers, theoretically, can do it in a few hours or less, as the number of qubits per quantum computer increases.
- 15. • Quantum simulations explore specific problems in quantum physics that are beyond the capacity of classical systems. Simulating complex quantum phenomena could be one of the most important applications of quantum computing. • Quantum simulation promises to have applications in the study of many problems in, e.g., condensed-matter physics, high-energy physics, atomic physics, quantum chemistry and cosmology.
- 16. In particular, quantum simulators could be used to simulate protein folding — one of biochemistry’s toughest problems. Misfolded proteins can cause diseases like Alzheimer’s and Parkinson’s, and researchers testing new treatments must learn which drugs cause reactions for each protein through the use of random computer modeling. Quantum computers can help compute the vast number of possible protein folding sequences for making more effective medications. In the future, quantum simulations will enable rapid designer drug testing by accounting for every possible protein-to-drug combination.
- 17. • Universal quantum computers are the most powerful and most generally applicable, but also the hardest to build. • A truly universal quantum computer would likely make use of over 100,000 qubits. • The basic idea behind the universal quantum computer is that you could direct the machine at any massively complex computation and get a quick solution. • In the distant future, universal quantum computers could revolutionize the field of artificial intelligence. Quantum AI could enable machine learning that is faster than that of classical computers. Rigetti’s 128 qubit quantum chip
- 18. • Algorithm creation • The low temperature needed • Not open for public • Internet Security
- 19. • IBM • D-Wave Systems • Google • Microsoft Corporation • Rigetti Computing • IonQ
- 20. • Quantum computers have the potential to revolutionize computation by making certain types of classically intractable problems solvable. • While no quantum computer is yet sophisticated enough to carry out calculations that a classical computer can't, great progress is under way. • Quantum simulators are making strides in fields varying from molecular energetics to many-body physics.