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.
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
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 computing is the computing which uses the laws of quantum mechanics to process information. Quantum computer works on qubits, which stands for "Quantum Bits".
With quantum computers, factoring of prime numbers are possible.
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.
The document discusses the evolution of classical computers from first to fifth generations, as well as key concepts related to quantum computers, including qubits, superposition, entanglement, and how they are built using quantum dots. It also covers applications like quantum networking and encryption, and challenges like preventing decoherence when scaling up quantum computers.
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 Computing: Welcome to the FutureVernBrownell
Vern Brownell, CEO at D-Wave Systems, shares his thoughts on Quantum Computing in this presentation, which he delivered at Compute Midwest in November 2014. He addresses big questions that include: What is a quantum computer? How do you build one? Why does it matter? What does the future hold for 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.
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
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 computing is the computing which uses the laws of quantum mechanics to process information. Quantum computer works on qubits, which stands for "Quantum Bits".
With quantum computers, factoring of prime numbers are possible.
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.
The document discusses the evolution of classical computers from first to fifth generations, as well as key concepts related to quantum computers, including qubits, superposition, entanglement, and how they are built using quantum dots. It also covers applications like quantum networking and encryption, and challenges like preventing decoherence when scaling up quantum computers.
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 Computing: Welcome to the FutureVernBrownell
Vern Brownell, CEO at D-Wave Systems, shares his thoughts on Quantum Computing in this presentation, which he delivered at Compute Midwest in November 2014. He addresses big questions that include: What is a quantum computer? How do you build one? Why does it matter? What does the future hold for 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 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.
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.
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 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 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 uses quantum mechanics phenomena like superposition and entanglement to perform calculations exponentially faster than classical computers for certain problems. While quantum computers have shown promise in areas like optimization, simulation, and encryption cracking, significant challenges remain in scaling up quantum bits and reducing noise and errors. Current research aims to build larger quantum registers of 50+ qubits to demonstrate quantum advantage and explore practical applications, with the future potential to revolutionize fields like artificial intelligence, materials design, and drug discovery if full-scale quantum computers can be realized.
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.
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 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.
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.
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 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 computers have the potential to vastly outperform classical computers for certain problems. They make use of quantum bits (qubits) that can exist in superpositions of states and become entangled with each other. This allows quantum computers to perform calculations on all possible combinations of inputs simultaneously. However, building large-scale quantum computers faces challenges such as maintaining quantum coherence long enough to perform useful computations. Researchers are working to develop quantum algorithms and overcome issues like decoherence. If successful, quantum computers could solve problems in domains like cryptography, simulation, and machine learning that are intractable for classical computers.
-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
A quantum computer performs calculations using quantum mechanics and quantum properties like superposition and entanglement. It uses quantum bits (qubits) that can exist in superpositions of states unlike classical computer bits. A quantum computer could solve some problems, like factoring large numbers, much faster than classical computers. The document discusses the history of computing generations and quantum computing, how quantum computers work using qubits, superpositions and entanglement, and potential applications like encryption cracking and simulation.
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 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
A Shore Introduction to Quantum Computer and the computation of ( Quantum Mechanics),
Nowadays we work on classical computer that work with bits which is either 0s or 1s, but Quantum Computer work with qubits which is either 0s or 1s or 0 and 1 in the same time.
A quantum computer uses quantum mechanics principles like superposition and entanglement to perform massively parallel computations. The basic unit of information in a quantum computer is called a qubit, which can exist in superpositions of states unlike classical bits. The document discusses the history and development of quantum computing, basic quantum mechanics concepts, how quantum computers work and their potential applications in optimization, simulation and communication. It also provides an overview of the speaker's background and agenda for the workshop on introducing quantum computing basics.
Quantum computing provides an alternative computational model based on quantum mechanics. It utilizes quantum phenomena such as superposition and entanglement to perform computations using quantum logic gates on qubits. This allows quantum computers to potentially solve certain problems exponentially faster than classical computers. However, building large-scale quantum computers remains a challenge. In the meantime, smaller quantum systems are being developed and quantum algorithms are being experimentally tested on these devices. Researchers are also working on methods to efficiently simulate quantum computations on classical computers.
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.
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.
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 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 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 uses quantum mechanics phenomena like superposition and entanglement to perform calculations exponentially faster than classical computers for certain problems. While quantum computers have shown promise in areas like optimization, simulation, and encryption cracking, significant challenges remain in scaling up quantum bits and reducing noise and errors. Current research aims to build larger quantum registers of 50+ qubits to demonstrate quantum advantage and explore practical applications, with the future potential to revolutionize fields like artificial intelligence, materials design, and drug discovery if full-scale quantum computers can be realized.
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.
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 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.
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.
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 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 computers have the potential to vastly outperform classical computers for certain problems. They make use of quantum bits (qubits) that can exist in superpositions of states and become entangled with each other. This allows quantum computers to perform calculations on all possible combinations of inputs simultaneously. However, building large-scale quantum computers faces challenges such as maintaining quantum coherence long enough to perform useful computations. Researchers are working to develop quantum algorithms and overcome issues like decoherence. If successful, quantum computers could solve problems in domains like cryptography, simulation, and machine learning that are intractable for classical computers.
-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
A quantum computer performs calculations using quantum mechanics and quantum properties like superposition and entanglement. It uses quantum bits (qubits) that can exist in superpositions of states unlike classical computer bits. A quantum computer could solve some problems, like factoring large numbers, much faster than classical computers. The document discusses the history of computing generations and quantum computing, how quantum computers work using qubits, superpositions and entanglement, and potential applications like encryption cracking and simulation.
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 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
A Shore Introduction to Quantum Computer and the computation of ( Quantum Mechanics),
Nowadays we work on classical computer that work with bits which is either 0s or 1s, but Quantum Computer work with qubits which is either 0s or 1s or 0 and 1 in the same time.
A quantum computer uses quantum mechanics principles like superposition and entanglement to perform massively parallel computations. The basic unit of information in a quantum computer is called a qubit, which can exist in superpositions of states unlike classical bits. The document discusses the history and development of quantum computing, basic quantum mechanics concepts, how quantum computers work and their potential applications in optimization, simulation and communication. It also provides an overview of the speaker's background and agenda for the workshop on introducing quantum computing basics.
Quantum computing provides an alternative computational model based on quantum mechanics. It utilizes quantum phenomena such as superposition and entanglement to perform computations using quantum logic gates on qubits. This allows quantum computers to potentially solve certain problems exponentially faster than classical computers. However, building large-scale quantum computers remains a challenge. In the meantime, smaller quantum systems are being developed and quantum algorithms are being experimentally tested on these devices. Researchers are also working on methods to efficiently simulate quantum computations on classical computers.
Quantum computers is a machine that performs calculations based on the laws of quantum mechanics which is the behaviour of particles at the subatomic level.
This document provides an overview of quantum computing, including:
- The current state of quantum computing technology, which involves noisy intermediate-scale quantum computers with 10s to 100s of qubits and moderate error rates.
- The difference between quantum and classical information, noting that quantum information uses superposition and entanglement, exponentially increasing computational power.
- An example quantum algorithm, Bernstein-Vazirani, which can solve a problem in one query that classical computers require n queries to solve, demonstrating quantum computing's potential computational advantages.
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 utilizes quantum mechanics and qubits to perform calculations. Richard Feynman first proposed the idea of quantum computing in 1982. Significant developments include Peter Shor's quantum algorithm for integer factorization in 1994 and Lov Grover's quantum search algorithm in 1997. Quantum computers offer advantages over classical computers by allowing qubits to exist in superposition and entanglement, allowing parallel processing of multiple states. Several companies including Google, IBM, and Microsoft are making progress in developing quantum computers and algorithms to address applications like cryptography, machine learning, and optimization problems.
Quantum computing utilizes quantum mechanics and qubits to perform calculations. It has the potential to vastly outperform classical computers for certain problems. The history of quantum computing began in the 1980s with proposed models, and progress continues today with quantum algorithms, hardware improvements, and applications in areas like AI, cryptography, and database searching. Major companies like Google, IBM, and Microsoft are working to develop functional quantum computers and make them available via cloud services.
Quantum computing is a new method of computing based on quantum mechanics that offers greater computational power than classical computers. Quantum computers use quantum bits or qubits that can exist in superpositions of states allowing massive parallelism. Several approaches like ion traps, quantum dots and NMR have demonstrated quantum computing. However, challenges remain around errors from decoherence and a lack of reliable reading mechanisms. If these obstacles can be overcome, quantum computers may solve problems in artificial intelligence, cybersecurity, drug design and more exponentially faster than classical computers.
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 quantum computing and its potential applications. It notes that while quantum computers may be able to efficiently simulate physical processes, quantum error correction is needed for scalability.
- Current quantum hardware has around 50-100 qubits but higher qubit numbers and lower error rates are needed. Quantum computers in the "Noisy Intermediate-Scale Quantum" era may be able to explore physics and have some commercial uses, but more powerful quantum technologies will likely require decades more of work.
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.
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.
This document describes a student's graduation project on using superconducting circuits for quantum computation. It provides an introduction to the topic and outlines the structure of the project. The project will first introduce the concept of a qubit and basics of quantum computation. It will then describe different types of qubit technologies before focusing on superconducting circuits. The document will explain the necessary quantum phenomena like coherence and noise. It will explore superconducting qubits in detail and how to couple them. Finally, it will demonstrate how to perform logical operations using superconducting qubits.
Technological Survey on Quantum ComputingIRJET Journal
This document provides a technological survey of quantum computing. It begins with an abstract that outlines how quantum computing uses principles like superposition and entanglement to extend computational abilities beyond what is possible with classical computers. It then reviews key concepts in quantum computing like qubits, quantum gates, superposition, and entanglement. It discusses the importance of quantum computing for solving complex problems that are intractable for classical computers. Potential applications of quantum computing discussed include healthcare for areas like diagnosis, drug discovery, and optimized treatment plans. In summary, the document surveys fundamental concepts and potential benefits of quantum computing as a new paradigm that can solve problems beyond the capabilities of classical computers.
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
A quantum computer harnesses the power of atoms and molecules to perform calculations billions of times faster than silicon-based computers. Unlike classical bits that are either 0 or 1, quantum bits or qubits can be in a superposition of both states simultaneously. While current quantum computers have only manipulated a few qubits, their potential applications include efficiently solving problems like integer factorization that are intractable for classical computers. Significant challenges remain to controlling quantum phenomena necessary for building useful quantum computers.
Quantum Computing: Unleashing the Power of Quantum MechanicsTechCyber Vision
Quantum computing is an emerging field that utilizes principles of quantum mechanics to process information. While still in early stages, it has made progress in areas like quantum algorithms, error correction, and physical implementations. Major challenges remain around scaling up qubits, reducing errors, and developing practical applications. Continued research and collaboration are needed to realize quantum computing's full potential to solve problems beyond the capabilities of classical computers.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
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Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
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.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
2. ti8m.com
ti&m AG
Zürich
Buckhauserstrasse 24
CH-8048 Zürich
+41 44 497 75 00
Bern
Monbijoustrasse 68
CH-3007 Bern
+41 44 497 75 00
Frankfurt am Main
Schaumainkai 91
D-60596 Frankfurt am Main
+49 69 66 77 41 395
About me
Wir digitalisieren Ihr Unternehmen.
Christian Waha – Technical Fellow
Some Facts:
Technical Fellow @ti&m AG
Microsoft Most Valuable Professional
Microsoft Regional Director
LEGO Serious Play Certified Facilitator
Linkedin Learning Trainer
Azure Meetup Munich Organizer
3. 23.02.2021
3
Du möchtest…
… Teil der nächsten IT-Revolution sein?
… Dich mit modernster Technologie beschäftigen?
… mit uns etwas Neues aufbauen?
… in einer Firma mit starken Werten und Kultur arbeiten?
Dann suchen wir genau Dich!
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Wir freuen uns auf Dich!
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Wir suchen Dich als
Cloud Experten!
4. Buzzwords I will need to talk about
23.02.2021
4
Quantum Computing Basics
6. Quantum Computer
23.02.2021
6
Quantum Computing Basics
Is the study of a non-classical model of computation. Whereas traditional models of computing such as the
Turing machine or Lambda calculus rely on "classical" representations of computational memory, a quantum
computation could transform the memory into a quantum superposition of possible classical states. A quantum
computer is a device that could perform such computation.
10. Types of Quantum Computers
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Quantum Computing Basics
• Quantum Annealer
The quantum annealer is least powerful and most restrictive form of quantum computers. It is the easiest to build, yet
can only perform one specific function. The consensus of the scientific community is that quantum annealer has no
known advantages over conventional computing.
Applications: Optimization Problems.
Generality: Restrictive.
Computational Power: Same as traditional computers
• Analog Quantum
The analog quantum computer will be able to simulate complex quantum interactions that are intraceable for any
known conventional machine, or combinations of these machines. It is conejctured that the analog quantum
computer will contain somewhere between 50 to 100 Qubits.
Applications: Quantum Chemistry, Material Science, Optimization Problems, Sampling, Quantum Dynamics.
Generality: Partial.
Computational Power: High Difficulty Level
Difficulty Level
Based on IBM Research
Based on IBM Research
11. Types of Quantum Computers
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Quantum Computing Basics
• Universal Quantum
The universal quantum computer is the most powerful, the most general and the hardest to build, posing a number of
difficult technical challenges. Current estimates indicate that this machine will comprise more than 1.000.000 physical
qubits
Applications: Secure Computing, Machine Learning, Cryptography, Quantum Chemistry, Material Science,
Optimization Problems, Sampling, Searching.
Generality: Complete with known speed up.
Computational Power: Very High
Difficulty Level
Based on IBM Research
12. Quantum
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Quantum Computing Basics
In physics, a quantum (plural quanta) is the minimum amount of any physical entity (physical property)
involved in an interaction. The fundamental notion that a physical property may be "quantized" is referred to
as "the hypothesis of quantization“. This means that the magnitude of the physical property can take on only
discrete values consisting of integer multiples of one quantum.
For example, a photon is a single quantum of light (or of any other form of electromagnetic radiation).
Similarly, the energy of an electron bound within an atom is quantized and can exist only in certain discrete
values.
13. Quantum
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Quantum Computing Basics
Photon
It is the quantum of the
electromagnetic field
including electromagnetic
radiation such as light and
radio waves, and the force
carrier for the
electromagnetic force (even
when static via virtual
particles). The invariant mass
of the photon is zero; it
always moves at the speed of
light in a vacuum.
Phonon
Is a collective excitation in a
periodic, elastic arrangement
of atoms or molecules in
condensed matter,
specifically in solids and
some liquids. Often
designated a quasiparticle,[1]
it represents an excited state
in the quantum mechanical
quantization of the modes of
vibrations of elastic structures
of interacting particles.
Plasmon
Is a quantum of plasma
oscillation. Just as light (an
optical oscillation) consists of
photons, the plasma
oscillation consists of
plasmons. The plasmon can
be considered as a
quasiparticle since it arises
from the quantization of
plasma oscillations, just like
phonons are quantizations of
mechanical vibrations.
Magnon
Is a quasiparticle, a collective
excitation of the electrons'
spin structure in a crystal
lattice. In the equivalent wave
picture of quantum
mechanics, a magnon can be
viewed as a quantized spin
wave.
14. Quantum
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Quantum Computing Basics
Quant of the angular
momentum
Is the rotational equivalent of
linear momentum. It is an
important quantity in physics
because it is a conserved
quantity—the total angular
momentum of a closed
system remains constant.
Gluon
Is an elementary particle that
acts as the exchange particle
(or gauge boson) for the
strong force between quarks.
It is analogous to the
exchange of photons in the
electromagnetic force
between two charged
particles.[6] In layman's
terms, they "glue" quarks
together, forming hadrons
such as protons and
neutrons.
Graviton (maybe)
s the hypothetical quantum of
gravity, an elementary
particle that mediates the
force of gravity. There is no
complete quantum field
theory of gravitons due to an
outstanding mathematical
problem with renormalization
in general relativity. In string
theory, believed to be a
consistent theory of quantum
gravity, the graviton is a
massless state of a
fundamental string.
15. Qubit
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Quantum Computing Basics
In quantum computing, a qubit or quantum bit (sometimes qbit) is the basic unit of quantum information—the
quantum version of the classical binary bit physically realized with a two-state device. A qubit is a two-state (or
two-level) quantum-mechanical system, one of the simplest quantum systems displaying the peculiarity of
quantum mechanics. Examples include: the spin of the electron in which the two levels can be taken as spin
up and spin down; or the polarization of a single photon in which the two states can be taken to be the vertical
polarization and the horizontal polarization. In a classical system, a bit would have to be in one state or the
other. However, quantum mechanics allows the qubit to be in a coherent superposition of both states/levels
simultaneously, a property which is fundamental to quantum mechanics and quantum computing.
17. Qubit – what is necessary
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Quantum Computing Basics
The five basic criterias
1. The system needs to have defined Qubits and have ti be scaleable. This means it can be enhanced with
so much Qubits as you want.
2. It must be possibel to dissect in a pure state. (minimum State )
3. The system need to be in a avilable effectual Coherence time.
4. The system needs to allow to implement universal sets of Quantum logic gates. Example: all 1-Qubit
Gates and an additional CNOT Gate
5. It needs to be possible to target and measure single Qubits
The two additional Criterias on Quantum communication are:
1. It must be possible to transform local Qubits in moving Qubits and vis versa.
2. An exchange of moving Qubits must be possible between remote locations
18. Qubit – how to measure
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Quantum Computing Basics
• Ions in Ion traps
Maximum at the moment with 20 Qubits
• Electrons in Quantumdots
(Spinqubit*, Chargequbit)
• SQUIDs
Maximum at the moment with 10 Qubits
• Photons
very good eligable for moving Qubits
• Nuclear spin in molecule or solid materials
19. Qubit – Errors
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Quantum Computing Basics
Limitations:
• Collaps of the wave, at the moment of the measurement destroys the Qubit but delivers the state
• The No-Cloning-Theorem prohibit to copy the state of the qubit
• Because Qubits, can other than classical bits, represent a continuum on states, can errors also evolving
Possible Errortypes:
• No Error
• Bit-Flip (change of the State)
• Phase (change of the Prefix)
• Bit-Phase (combination of both)
21. Qubit – Errorcorrection - Models
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Quantum Computing Basics
• Peter Shors 9-qubit-code
decrypts 1 logical Qubit into 9 physical Qubits and can correct any
error on a single Qubit
• Steane Code
decrypts 1 logical Qubit into 7 physical Qubits
• Laflamme Code
decrypts 1 logical Qubit into 5 physical Qubits
• CSS Codes (Calderbank, Shor, Steane)
• Additive Codes
• Topological Quantum Codes
22. Schrödinger's cat
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Quantum Computing Basics
a cat, a flask of poison, and a radioactive source are placed in a
sealed box. If an internal monitor (e.g. Geiger counter) detects
radioactivity (i.e. a single atom decaying), the flask is shattered,
releasing the poison, which kills the cat. The Copenhagen
interpretation of quantum mechanics implies that after a while, the
cat is simultaneously alive and dead. Yet, when one looks in the
box, one sees the cat either alive or dead, not both alive and dead.
This poses the question of when exactly quantum superposition
ends and reality collapses into one possibility or the other.
23. Quantum entanglement
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Quantum Computing Basics
The Power of Quantum Computing is based on:
Quantum entanglement is a label for the observed physical phenomenon that occurs when a pair or group of
particles is generated, interact, or share spatial proximity in a way such that the quantum state of each
particle of the pair or group cannot be described independently of the state of the others, even when the
particles are separated by a large distance.
In this state, called an equal superposition, there are equal probabilities of measuring either product state. In
other words, there is no way to tell if the first qubit has value “0” or “1” and likewise for the second qubit.
26. Quantum Programming – Instruction Sets
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Quantum Computing Basics
cQASM
cQASM , also known as common QASM, is a hardware-agnostic QASM which guarantees the interoperability between all the quantum
compilation and simulation tools. It was introduced by the QCA Lab at TUDelft.
Quil
Quil is an instruction set architecture for quantum computing that first introduced a shared quantum/classical memory model. It was introduced by
Robert Smith, Michael Curtis, and William Zeng in A Practical Quantum Instruction Set Architecture. Many quantum algorithms (including
quantum teleportation, quantum error correction, simulation, and optimization algorithms) require a shared memory architecture.
OpenQASM
OpenQASM is the intermediate representation introduced by IBM for use with Qiskit and the IBM Q Experience.
Blackbird
Blackbird is a quantum instruction set and intermediate representation used by Xanadu and Strawberry Fields. It is designed to represent
continuous-variable quantum programs that can run on photonic quantum hardware.
27. Quantum Programming – SDKs
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Quantum Computing Basics
SDKs with access to quantum processors
• Ocean
• ProjectQ
• Qiskit
• Forest
SDKs based on simulators
• Quantum Development Kit
• Cirq
• Strawberry Fields
SDKs in development
• t|ket>
28. Quantum Programming – Languages
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Quantum Computing Basics
Imperative languages
• QCL
• Quantum pseudocode
• Q#
• Q|SI>
• Q language
• qGCL
• QMASM
Functional languages
• QFC and QPL
• QML
• LIQUi|>
• Quantum lambda calculi
• Quipper
29. Quantum Programming – Algorithm
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Quantum Computing Basics
Algorithms based on the quantum Fourier transform
• Deutsch–Jozsa algorithm
• Bernstein–Vazirani algorithm
• Simon's algorithm
• Quantum phase estimation algorithm
• Shor's algorithm
• Hidden subgroup problem
• Boson sampling problem
• Estimating Gauss sums
• Fourier fishing and Fourier checking
Algorithms based on amplitude amplification
• Grover's algorithm
• Quantum counting
Algorithms based on quantum walks
• Element distinctness problem
• Triangle-finding problem
• Formula evaluation
• Group commutativity
BQP-complete problems
• Computing knot invariants
• Quantum simulation
• Solving a linear systems of equations
Hybrid quantum/classical algorithms
• QAOA
• Variational quantum eigensolver
30. Quantum cryptography
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Quantum Computing Basics
The problem with currently popular algorithms is that their security relies on one of
three hard mathematical problems: the integer factorization problem, the discrete
logarithm problem or the elliptic-curve discrete logarithm problem. All of these
problems can be easily solved on a sufficiently powerful quantum computer running
Shor's algorithm.
32. Timeline – Quantum Computing
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32
IBM realized
first 7 Qubit
Computer
University of
Insbruck build first 8
Qubit Quantum
Register
University of
Innsbruck almost
doubled the
amount of Qubits
2009
November 2008 2011
1990
IBM allowed
access to ist
Quantum
Computer
2015
today
Go Live for
real Quantum
Computers
2035
Google
showed it’s 45
Qubit
Quantum
Computer
October
2019
Yale University build
first 2 Qubit Quantum
Computer
34. 23.02.2021
34
Du möchtest…
… Teil der nächsten IT-Revolution sein?
… Dich mit modernster Technologie beschäftigen?
… mit uns etwas Neues aufbauen?
… in einer Firma mit starken Werten und Kultur arbeiten?
Dann suchen wir genau Dich!
Bewirb Dich auf eine unserer offenen Cloud Stellen:
Cloud Architekt (Azure, Google Cloud Platform, AWS)
Cloud Ingenieur (Azure, Google Cloud Platform, AWS)
Microsoft Azure Solution Engineer
Sende Deine Bewerbungsunterlagen direkt an
christian.waha@ti8m.ch.
Wir freuen uns auf Dich!
Mehr Infos auf www.ti8m.ch
Wir suchen Dich als
Cloud Experten!
35. ti8m.com
ti&m AG
Zürich
Buckhauserstrasse 24
CH-8048 Zürich
+41 44 497 75 00
Bern
Monbijoustrasse 68
CH-3007 Bern
+41 44 497 75 00
Frankfurt am Main
Schaumainkai 91
D-60596 Frankfurt am Main
+49 69 66 77 41 395
Herzlichen Dank!
Wir digitalisieren Ihr Unternehmen.
Christian Waha – Technical Fellow