Quantum Computing Primer - Future of Scientific Computing, covers the following:
- Why you should Learn Quantum Computing
- Quantum Computing Basics
- Applications with Business Opportunities
- Business and Technology Landscape
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.
The document discusses the history and concepts of quantum computing. It describes how quantum computers work using quantum bits that can represent 0 and 1 simultaneously, allowing for massive parallel processing. Properties like superposition and entanglement enable quantum computers to solve certain problems like factoring large numbers much faster than classical computers. While challenges remain around error correction, quantum computing has applications in cloud services, cryptography, database searches, and simulations.
Quantum computes, Quantum computing, Bits and Qubits/Qbits (Binary bits and binary Quantum bits), Difference in processing between conventional and quantum computers, representation of data using superposition, History of quantum computers, demonstration on how a quantum computer will handle an algorithm, difference between processors.
The document provides an overview of quantum computing basics, including:
- Types of quantum computers such as quantum annealers, analog quantum computers, and universal quantum computers.
- Key concepts such as qubits, the smallest unit of quantum information that can be in a superposition of states, and common physical implementations like ions and photons.
- Challenges like errors that can occur and approaches to error correction using techniques like Shor's code and topological quantum codes.
- An example of Schrodinger's cat thought experiment that illustrates the strange nature of quantum superposition.
1) Quantum computing uses quantum mechanics and quantum states that can represent multiple values simultaneously, unlike classical computing which uses discrete binary states.
2) Some important concepts in quantum computing include quantum gates which perform operations on quantum bits (qubits), entanglement where quantum states of particles are linked, and the no-cloning theorem which prevents copying of unknown quantum states.
3) Quantum computing has potential applications in factoring integers, search algorithms, random number generation, and quantum key distribution, but challenges remain in building large-scale quantum computers and overcoming issues like short quantum coherence times.
The document discusses quantum computers, including their history, how they work, advantages and disadvantages, and applications. Quantum computers perform calculations using quantum mechanics and qubits, which can represent 0, 1, or both values simultaneously. Some key points covered include that quantum computers were first proposed in 1982 and have since seen developments in algorithms, but challenges remain around decoherence. Potential applications mentioned are for artificial intelligence, weather forecasting, financial modeling, cybersecurity, and drug design.
Quantum computers use quantum states of subatomic particles like qubits that can exist in multiple states simultaneously. This allows quantum computers to massively parallel process information. Traditional computers are approaching their processing limits while quantum computers can efficiently solve complex problems too difficult for classical computers. However, quantum computers also face challenges in stability and scaling up for widespread use.
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 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.
The document discusses the history and concepts of quantum computing. It describes how quantum computers work using quantum bits that can represent 0 and 1 simultaneously, allowing for massive parallel processing. Properties like superposition and entanglement enable quantum computers to solve certain problems like factoring large numbers much faster than classical computers. While challenges remain around error correction, quantum computing has applications in cloud services, cryptography, database searches, and simulations.
Quantum computes, Quantum computing, Bits and Qubits/Qbits (Binary bits and binary Quantum bits), Difference in processing between conventional and quantum computers, representation of data using superposition, History of quantum computers, demonstration on how a quantum computer will handle an algorithm, difference between processors.
The document provides an overview of quantum computing basics, including:
- Types of quantum computers such as quantum annealers, analog quantum computers, and universal quantum computers.
- Key concepts such as qubits, the smallest unit of quantum information that can be in a superposition of states, and common physical implementations like ions and photons.
- Challenges like errors that can occur and approaches to error correction using techniques like Shor's code and topological quantum codes.
- An example of Schrodinger's cat thought experiment that illustrates the strange nature of quantum superposition.
1) Quantum computing uses quantum mechanics and quantum states that can represent multiple values simultaneously, unlike classical computing which uses discrete binary states.
2) Some important concepts in quantum computing include quantum gates which perform operations on quantum bits (qubits), entanglement where quantum states of particles are linked, and the no-cloning theorem which prevents copying of unknown quantum states.
3) Quantum computing has potential applications in factoring integers, search algorithms, random number generation, and quantum key distribution, but challenges remain in building large-scale quantum computers and overcoming issues like short quantum coherence times.
The document discusses quantum computers, including their history, how they work, advantages and disadvantages, and applications. Quantum computers perform calculations using quantum mechanics and qubits, which can represent 0, 1, or both values simultaneously. Some key points covered include that quantum computers were first proposed in 1982 and have since seen developments in algorithms, but challenges remain around decoherence. Potential applications mentioned are for artificial intelligence, weather forecasting, financial modeling, cybersecurity, and drug design.
Quantum computers use quantum states of subatomic particles like qubits that can exist in multiple states simultaneously. This allows quantum computers to massively parallel process information. Traditional computers are approaching their processing limits while quantum computers can efficiently solve complex problems too difficult for classical computers. However, quantum computers also face challenges in stability and scaling up for widespread use.
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 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.
This research paper gives an overview of quantum computers – description of their operation, differences between quantum and silicon computers, major construction problems of a quantum computer and many other basic aspects. No special scientific knowledge is necessary for the reader.
Quantum computing uses quantum mechanics phenomena like superposition, entanglement, and interference to perform computation. Quantum computers are improving at an exponential rate according to Neven's Law, doubling their processing power exponentially faster than classical computers. The basic unit of quantum information is the qubit, which can exist in superposition and represent a '1' and '0' simultaneously. This allows quantum computers to explore all computational paths at once, greatly increasing their processing speed over classical computers for certain problems.
Quantum computing uses quantum-mechanical phenomena like superposition and entanglement to perform computations. Superposition allows a quantum system to exist in multiple states simultaneously until measured, while entanglement links the quantum states of separate objects. The document outlines several potential applications of quantum computing including database processing, security, weather forecasting, and artificial intelligence. While companies are experimenting with quantum computing, its potential is not fully realized yet due to complexity and cost. Digital marketing does not widely apply quantum computing yet but it promises to transform e-commerce in the future.
This document presents an overview of quantum computers. It begins with an introduction and brief outline, then discusses the history of quantum computing from 1982 onwards. It explains that quantum computers use quantum mechanics principles like qubits and superposition to potentially solve problems beyond the capabilities of classical computers. Some applications mentioned include cryptography, artificial intelligence, and teleportation. Challenges like decoherence and error correction are also noted. The conclusion states that if successfully built, quantum computers could revolutionize society.
Quantum Computing with respect to Quantum Mechanics, i.e. Quantum Superposition and Quantum Entanglement. Qubits. Why Quantum Computing? Quantum Computing vs Conventional Computing. Latest Trends and Progress in Quantum Computing and Applications of Quantum Computing.
The document discusses several key topics related to quantum computing including:
1) Qubits, the basic building blocks of quantum computers, which can exist in superpositions of states unlike classical bits.
2) Quantum phenomena like entanglement and teleportation which allow information to be transmitted without direct interaction.
3) Quantum algorithms like Fourier sampling which allow quantum computers to perform multiple computations in superposition providing an exponential speedup over classical computers for some problems.
4) Potential applications of quantum computing including networking, random number generation, encryption, and assisting with artificial intelligence. Researchers are working to develop the necessary technologies and overcome challenges.
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.
-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
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.
The document discusses quantum computing and its potential applications. It mentions Moore's Law and how quantum computing could enable solving problems like factoring big numbers and searching databases with quantum algorithms faster than classical computers. It also discusses challenges like decoherence and approaches like quantum dots and quantum liquids. It raises questions about artificial intelligence and includes references for further information on 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 is a new approach to computation based on quantum theory that explains energy and matter at the atomic and subatomic level. Quantum computers use quantum bits (qubits) that can represent both 1s and 0s simultaneously, allowing them to solve certain problems like algorithms much faster than classical computers. Techniques for quantum computing include ion traps, resonant cavities, and quantum dots. While digital computers use transistors and binary digits, quantum computers use quantum mechanical phenomena and qubits. Developing quantum computing may help solve problems in areas like national security, business, and the environment. Researchers are working to build functional quantum computers and networks that could power new technologies like artificial intelligence.
The document discusses the basics of quantum computing. It explains that quantum computers use qubits that can represent 0, 1, or both values simultaneously. Operations are performed using quantum logic gates to manipulate the qubits. Several important developments in quantum computing are mentioned, such as Feynman's proposal of a quantum computer in 1981, Deutsch developing the quantum Turing machine in 1985, and Shor creating an algorithm for integer factorization in 1994. Potential applications of quantum computing include factoring, simulations, encryption, and artificial intelligence. However, challenges remain such as quantum decoherence and error correction.
Quantum computing uses quantum mechanics phenomena like superposition and entanglement to perform operations on quantum bits (qubits) and solve certain problems much faster than classical computers. One such problem is integer factorization, for which Peter Shor devised an algorithm in 1994 that a quantum computer could solve much more efficiently than classical computers. While quantum computing is still in development, it has the potential to break popular encryption systems like RSA and simulate quantum systems. Practical implementations of quantum computing include ion traps, NMR, optical photons, and solid-state approaches. Quantum computing could enable applications in encryption-breaking, simulation, and cryptography, among other areas.
presentation is based on quantum computing and how it developed and what are its advantages and disadvantages. Quantum computing applications and conclusions. Quantum computing over classical computing.
This presentation provides a basic introduction to quantum computers architecture including basic concepts related to the theory, quantum vs classical mechanics, qubits, quantum gates and some related algorithms.
Quantum Computing and its security implicationsInnoTech
Quantum computers work with qubits that can exist in superposition and be entangled. They have enormous computational power compared to digital computers and could solve problems like prime factorization rapidly. This poses risks to current encryption methods and allows for perfectly secure quantum communication. Several types of quantum computers are being developed, from quantum annealers to analog and universal models, with the latter offering exponential speedups but being the hardest to build. Significant progress is being made, with quantum computers in the tens of qubits now and the need to transition encryption to post-quantum algorithms within the next decade.
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 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.
This research paper gives an overview of quantum computers – description of their operation, differences between quantum and silicon computers, major construction problems of a quantum computer and many other basic aspects. No special scientific knowledge is necessary for the reader.
Quantum computing uses quantum mechanics phenomena like superposition, entanglement, and interference to perform computation. Quantum computers are improving at an exponential rate according to Neven's Law, doubling their processing power exponentially faster than classical computers. The basic unit of quantum information is the qubit, which can exist in superposition and represent a '1' and '0' simultaneously. This allows quantum computers to explore all computational paths at once, greatly increasing their processing speed over classical computers for certain problems.
Quantum computing uses quantum-mechanical phenomena like superposition and entanglement to perform computations. Superposition allows a quantum system to exist in multiple states simultaneously until measured, while entanglement links the quantum states of separate objects. The document outlines several potential applications of quantum computing including database processing, security, weather forecasting, and artificial intelligence. While companies are experimenting with quantum computing, its potential is not fully realized yet due to complexity and cost. Digital marketing does not widely apply quantum computing yet but it promises to transform e-commerce in the future.
This document presents an overview of quantum computers. It begins with an introduction and brief outline, then discusses the history of quantum computing from 1982 onwards. It explains that quantum computers use quantum mechanics principles like qubits and superposition to potentially solve problems beyond the capabilities of classical computers. Some applications mentioned include cryptography, artificial intelligence, and teleportation. Challenges like decoherence and error correction are also noted. The conclusion states that if successfully built, quantum computers could revolutionize society.
Quantum Computing with respect to Quantum Mechanics, i.e. Quantum Superposition and Quantum Entanglement. Qubits. Why Quantum Computing? Quantum Computing vs Conventional Computing. Latest Trends and Progress in Quantum Computing and Applications of Quantum Computing.
The document discusses several key topics related to quantum computing including:
1) Qubits, the basic building blocks of quantum computers, which can exist in superpositions of states unlike classical bits.
2) Quantum phenomena like entanglement and teleportation which allow information to be transmitted without direct interaction.
3) Quantum algorithms like Fourier sampling which allow quantum computers to perform multiple computations in superposition providing an exponential speedup over classical computers for some problems.
4) Potential applications of quantum computing including networking, random number generation, encryption, and assisting with artificial intelligence. Researchers are working to develop the necessary technologies and overcome challenges.
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.
-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
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.
The document discusses quantum computing and its potential applications. It mentions Moore's Law and how quantum computing could enable solving problems like factoring big numbers and searching databases with quantum algorithms faster than classical computers. It also discusses challenges like decoherence and approaches like quantum dots and quantum liquids. It raises questions about artificial intelligence and includes references for further information on 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 is a new approach to computation based on quantum theory that explains energy and matter at the atomic and subatomic level. Quantum computers use quantum bits (qubits) that can represent both 1s and 0s simultaneously, allowing them to solve certain problems like algorithms much faster than classical computers. Techniques for quantum computing include ion traps, resonant cavities, and quantum dots. While digital computers use transistors and binary digits, quantum computers use quantum mechanical phenomena and qubits. Developing quantum computing may help solve problems in areas like national security, business, and the environment. Researchers are working to build functional quantum computers and networks that could power new technologies like artificial intelligence.
The document discusses the basics of quantum computing. It explains that quantum computers use qubits that can represent 0, 1, or both values simultaneously. Operations are performed using quantum logic gates to manipulate the qubits. Several important developments in quantum computing are mentioned, such as Feynman's proposal of a quantum computer in 1981, Deutsch developing the quantum Turing machine in 1985, and Shor creating an algorithm for integer factorization in 1994. Potential applications of quantum computing include factoring, simulations, encryption, and artificial intelligence. However, challenges remain such as quantum decoherence and error correction.
Quantum computing uses quantum mechanics phenomena like superposition and entanglement to perform operations on quantum bits (qubits) and solve certain problems much faster than classical computers. One such problem is integer factorization, for which Peter Shor devised an algorithm in 1994 that a quantum computer could solve much more efficiently than classical computers. While quantum computing is still in development, it has the potential to break popular encryption systems like RSA and simulate quantum systems. Practical implementations of quantum computing include ion traps, NMR, optical photons, and solid-state approaches. Quantum computing could enable applications in encryption-breaking, simulation, and cryptography, among other areas.
presentation is based on quantum computing and how it developed and what are its advantages and disadvantages. Quantum computing applications and conclusions. Quantum computing over classical computing.
This presentation provides a basic introduction to quantum computers architecture including basic concepts related to the theory, quantum vs classical mechanics, qubits, quantum gates and some related algorithms.
Quantum Computing and its security implicationsInnoTech
Quantum computers work with qubits that can exist in superposition and be entangled. They have enormous computational power compared to digital computers and could solve problems like prime factorization rapidly. This poses risks to current encryption methods and allows for perfectly secure quantum communication. Several types of quantum computers are being developed, from quantum annealers to analog and universal models, with the latter offering exponential speedups but being the hardest to build. Significant progress is being made, with quantum computers in the tens of qubits now and the need to transition encryption to post-quantum algorithms within the next decade.
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 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
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.
1. The document provides an overview of quantum computation, discussing its history and advantages over classical computing.
2. Quantum computers can perform certain tasks like factoring large numbers and simulating quantum systems much faster than classical computers by taking advantage of quantum mechanics principles like superposition and parallelism.
3. One of the major advantages is that a quantum computer with just a few hundred qubits could theoretically operate on more states simultaneously than there are atoms in the observable universe, massively increasing its computational power over classical computers.
Quantum computing in the cloud allows users to access quantum processors and run algorithms through online platforms. IBM and Alibaba currently offer cloud-based quantum computing, providing access to 5-qubit, 16-qubit, and 11-qubit quantum processors. Potential applications of quantum computing in the cloud include solving problems in medicine, logistics, finance, and AI. While it poses security threats, quantum computing could also speed up complex calculations and simulations to provide benefits across many fields.
Quantum Computing in Financial Services - Executive SummaryMEDICI Inner Circle
MEDICI’s 'Quantum Computing in Financial Services' report, a deep dive into the impact of Quantum Computing on the financial services sector, highlights key players in the ecosystem across hardware, software, and services, discusses the adoption of Quantum Computing by the financial services industry, and analyzes collaborative efforts exploring its early use cases in financial services.
Quantum Computing in Financial Services Executive SummaryMEDICI Inner Circle
The ‘Quantum Computing in Financial Services’ report is an in-depth analysis of Quantum Computing and its applicability and impact on financial services. The report highlights key players in the ecosystem across hardware, software, and services, discusses the adoption of Quantum Computing by the financial services industry, and analyzes collaborative efforts exploring its early use cases in financial services.
The document discusses applications of superconductor materials and devices in quantum information science. It covers 5 topics: 1) an overview of the quantum information landscape, 2) macroscopic quantum phenomena in superconductor devices and superconductor qubits, 3) the transmon qubit which is a leading qubit platform, 4) topological superconducting qubits based on Majorana fermion states, and 5) S-TI-S Josephson junctions which are a compelling qubit platform. Superconductivity is expected to play a major role in developing qubit devices and quantum circuits.
- Quantum computing utilizes qubits that can represent multiple states simultaneously, unlike classical bits which are either 0 or 1. IBM plans to release a 1,000-qubit chip in 2023. Quantum computing could enable more accurate weather forecasts, better drug development, and optimization problems. While still early, potential applications include artificial intelligence, cybersecurity, and materials discovery. Challenges include errors from interference and needing extreme cooling, while opportunities exist in industries like manufacturing and banking. India is actively researching quantum computing to gain economic benefits and focus on strategic initiatives of the fourth industrial revolution.
This document presents a presentation on quantum computing prepared by Mohammad Altaf Alam. It introduces quantum computing as computing based on quantum theory that explains energy and matter on an atomic and subatomic level. It discusses the history of quantum computing from Feynman's proposal in 1982 to developments in the 1990s. It defines a quantum computer as a machine that performs calculations based on quantum mechanics using qubits that can represent 0, 1, or both values simultaneously. The document compares classical bits that represent only 0 or 1 to qubits and explains how quantum computers use superposition and operate on multiple values at once. It outlines potential applications in cryptography, databases, artificial intelligence, and more. In conclusion, the author states that if quantum computers
This document provides an overview of quantum computing trends and directions. It introduces Francisco Gálvez as the presenter and covers the following topics: IBM's quantum computers including the IBM Quantum Experience platform, basic concepts in quantum computing, quantum architecture focusing on superconducting qubits, quantum algorithms like Shor's and Grover's algorithms, applications of quantum computing, and the IBM Quantum Experience platform which allows users to design and run quantum circuits on real quantum processors.
This document provides an introduction to quantum computing. It defines quantum technology and quantum computing, explaining that quantum computers make use of quantum phenomena like superposition and entanglement. It describes how quantum computers differ from classical computers in their ability to be in multiple states at once using qubits. Examples are given of existing quantum computers from IBM and Google. The document concludes by offering recommendations for how to learn quantum computing, including online courses and accessing IBM's quantum computer.
In the 2011 book “Physics of the Future”, author Michio Kaku predicted that Moore’s Law will end and this would turn Silicon Valley into rust if an alternative and suitable replacement for silicon was not found. For the last 4 decades, Moore’s Law came about to represent unstoppable technological progress. At its heart was the observation that the number of transistors fabricated onto a chip would double every two years and that the cost would also fall off at a similar rate. It is very important to note that this law is an observation and not an actual physical or natural law. However, as of 2010 the update to the International Technology Roadmap for Semiconductors has shown growth slowing by 2013 after which densities are going to double only every three years. We are hitting the limits of the number of electrons that can be fit in a given area.
One option to overcome this limitation is to create quantum computers that will take advantage of the quantum character of molecules to perform the processing tasks of a conventional computer. Quantum computers could very possibly one day be able to replace silicon chips, just as the transistor replaced vacuum tube.
Strengths and limitations of quantum computingVinayak Sharma
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
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.
A Chinese team of researchers has recently unveiled the world’s most powerful quantum computer – capable of manipulating 66 qubits of data. At the same time, a team at Cambridge University in the UK has created a quantum computing desktop operating system – which could be as significant a step at bringing quantum capabilities into the mainstream as Microsoft’s development of MS-DOS and Windows was for classical desktop 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.
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Quantum Computing Primer - Future of Scientific Computing: Opportunities for Disruptive Business Technologies
1. QUANTUM COMPUTING PRIMER - 1
T h e f u t u r e o f S c i e n t i f i c C o m p u t i n g
D r R a j n i s h M a l l i c k
P r i n c i p a l S c i e n t i s t
A p r i l 2 0 2 0
Courtesy: D-Wave Systems
2. 2
Be inquisitive and
Stay Curious !
Can you identify the below mentioned equation and
relate its importance in Quantum Computing?
What is Quantum?
Quantum: is the Latin word for amount and, in modern understanding, means the
smallest possible discrete unit of any physical property, such as energy or matter.
Historical account:
Quantum came into the usage in 1900, when the physicist Max Planck used it in a presentation to the German
Physical Society, On December 14, 1900. He introduced the idea of quantization for the first time as a part of his
research on black-body radiation.
Planck was awarded the Nobel Prize in Physics for his discovery in 1918
4. 4
01
AGENDA
• Motivation! Why you should learn Quantum Computing?
• Basics of Quantum Computing
• What is QC?
• Classical Vs Quantum Computing
- Bits Vs Qubits
• Quantum Superposition & Entanglement
• Applications of Quantum Computing
- In Aerospace (Airbus, Lockheed Martin, NASA)
- In other domains (Finance, Chemistry, Material. Science…)
• Brief on P, NP problems and computational complexity
5. MOTIVATION: QUANTUM COMPUTING POWER
Quantum Computer 100 Million Times Faster Than Regular Computer Chip*
- Google's D-Wave 2X
Integer Factorization** - Shor’s Algorithm
Impossible for digital computers to factor large numbers which are the products of two
primes of nearly equal size – Fundamental of public-key cryptography schemes such as the widely used RSA (Rivest–Shamir–
Adleman) scheme
Quantum Database Search*** - Grover’s Algorithm
Example: To search the entire Library of Congress for one’s name given an unsorted
database.
Classical Computer – 100 years
Quantum Computer – ½ second
*https://ai.googleblog.com/2015/12/when-can-quantum-annealing-win.html
**What is the Computational Value of Finite Range Tunneling? - 2016
*** Quantum Computers book by Jon Schiller – 2009 (page 56)
8. 8
Basics of Quantum Computing
• What is a Quantum Computer
• Classical Vs Quantum Computing
- Bits Vs Qubits
• Quantum Superposition & Entanglement
02
9. • A quantum computer is a machine that performs calculations
based on the laws of quantum mechanics, which is the
behavior of particles at the sub-atomic level.
• It uses quantum mechanical phenomena to perform
operations on data through superposition and entanglement
using Quantum bits (Qubits).
Classical Computer (Binary)
A computer that uses voltages flowing through circuits and
gates, which can be calculated entirely by classical mechanics
using bits
WHAT IS A QUANTUM COMPUTER?
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Classical Vs Quantum Computing
Bits
A building block of classical computational devices is a two-state
system, characterized as, either 0 or 1.
Qubits
Qubit (or Quantum bit) is the quantum analogue of the classical
binary bit. By virtue of Quantum Mechanics, Qubit can exist in a
superposition of states
Bits and Qubits
Qubits leverages - Power of Exponentials!
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Quantum Superposition
In general, the state of a qubit is described by:
Where, α and β are complex numbers, satisfying,
In general, a quantum computer with qubits can be in an arbitrary
superposition of up to different states simultaneously
Courtesy: https://newsroom.intel.com/press-kits/quantum-computing/
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Entanglement is the ability of quantum systems to exhibit
correlations between states within a superposition.
Imagine two qubits, each in the state |0> + |1> (a
superposition of the 0 and 1.)
We can entangle the two qubits such that the
measurement of one qubit is always correlated to the
measurement of the other qubit.
Quantum
Entanglement
Quantum computing uses quantum-mechanical phenomena, such as, superposition and entanglement.
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Applications of Quantum Computing
• In Aerospace (Airbus, Lockheed Martin, NASA)
• In other domains
• Industrial research landscape…
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Applications of Quantum Computing
• Optimization including planning & scheduling and fault diagnostics
• Quantum Machine learning
• Quantum communication and networks
• Quantum simulations
• Medicine & Materials
• Supply Chain & Logistics
• Financial Services
• Artificial Intelligence
Courtesy: D-Wave Systems
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Applications: In Aerospace (Airbus, Lockheed Martin, NASA)
Airbus:
- Fault Tree Analyses (FTAs) investigate the
combination of local failures that result in
global system failures, often with mission
safety implications.
- FTAs are relevant to aerospace systems
- Integral part of certification process
- NP-hard
Lockheed Martin:
- Discrete Optimization problems
- Quantum Annealing - Training of Deep Neural
Networks. Courtesy: NASA*
*2017, 6th International Conference on Space Mission Challenges for Information Technology (SMC-IT), Spain
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QC: Companies & Business Impact
COMPANIES SET FOR A QUANTUM LEAP IN COMPUTING
Below mentioned 14 companies have the best QC-related roadmap, as
they all are actively contributing to the quantum ‘Inflection- point’
IBM Google Microsoft
Intel D-Wave Rigetti
Airbus (Aero) Raytheon Toshiba
NASA (Aero) Biogen Alibaba
Lockheed Martin (Aero) British Telecom
Quantum
‘Inflection- point
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QC: Companies & Business Impact
Quantum Computing market (estimated by IBM to be currently $5-6 billion a year) to almost
double, reaching $10 billion USD a year by 2025*.
Quantum Computing
Industry Landscape
*Morgan Stanley Research
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Brief on P, NP problems and computational complexity
NP-Complete problems
Quantum Computers are likely to provide any more than a quadratic
speedup to NP-Complete problems.
23. NEXT SESSION: SUGGESTIONS ARE WELCOME!
Algorithm - Shor’Algorithm ?
Quantum Properties ?
Hardware?
Applications ?
Any other topic ?
Quantum Computing Guild letters
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Answer
Can you identify the below mentioned equation and
relate its importance in Quantum Computing?
Schrödinger equation