The document discusses the history, principles, and applications of quantum computers. It begins with a brief history of quantum computing research from 1982 onwards. It then explains the basic principles of quantum mechanics that distinguish quantum computers from classical computers, such as superposition and entanglement. The document outlines some of the main algorithms used in quantum computing, including Shor's algorithm for integer factorization. It notes that quantum computers may be able to solve certain problems faster than classical computers by taking advantage of quantum phenomena. Finally, it discusses some potential security implications of quantum computing.
SIT launches its first Master program in Computer Science and Software engineering.
Start in September and apply now.
Master in Computer Science and Software Engineering
The program is flexible and really adapted to the needs of industry. It is available both onsite in Switzerland and in an online offering. We offer attractive scholarships for qualified students and it is also possible to have your second year in one of our partner universities in Europe, USA and Asia.
About Schaffhausen Institute of Technology:
With its pioneering curriculum, the Schaffhausen Institute of Technology (SIT) offers a new model of education. Focusing on the most important areas of technology, SIT will drive research, development and innovation in a next generation learning and research environment. Using state-of-the-art facilities, SIT's students, researchers and business allies will address large-scale world problems by developing a technology curriculum based on global issues.
The digital world is facing a crisis that has at the same time opened new windows of opportunity. To tackle the shortage of potential leaders joining the digital sector, the Schaffhausen Institute of Technology (SIT) has crafted a new course: Masters of Science (MSc) in Computer Science and Software Engineering – to better prepare graduates for leadership roles, specifically within the IT and Science disciplines.
At the #SITinsights in Technology talk, we’re blending computing and economics, bringing knowledge and expertise from all relevant fields to help enable global efforts.
About Schaffhausen Institute of Technology:
With its pioneering curriculum, the Schaffhausen Institute of Technology (SIT) offers a new model of education. Focusing on the most important areas of technology, SIT will drive research, development and innovation in a next generation learning and research environment. Using state-of-the-art facilities, SIT's students, researchers and business allies will address large-scale world problems by developing a technology curriculum based on global issues.
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.
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.
Quantum Computers New Generation of Computers Part 8 Quantum Error Correction...Professor Lili Saghafi
One of the biggest hurdles faced by quantum computing researchers is called decoherence — the tendency of quantum systems to be disturbed.
This vulnerability to noise leads to errors, which can be overcome by quantum error correction.
Because error correction techniques are themselves susceptible to noise, it is crucial to develop fault-tolerant correction.
In this part we will talk about:
• Decoherence
• Fault-Tolerant Correction
• Nuclear Magnetic Resonance
• Quantum Error Correction
• Future Quantum Internet
• Quantum Networkers
• Silicon Semiconductors Limits
• Diamond-Driven Technology
• Diamond Crystals
• Interference
• Niobium
• What Is Graphene
• Scanning Tunneling Microscope
• Weyl Fermion
• Massless Particle Known As A Weyl Fermion
• Quasiparticle
• “Middle Man” Nuclei
• Hyperfine Interaction
• Computing Power Of A Huge Number Of Parallel Universes
• Many-Worlds Interpretation (Mwi)
• Quantum Computing Power
Quantum computers new generation of computers part10 New Qubits TypeProfessor Lili Saghafi
New type of qubit makes Quantum Computers affordable– the building block of quantum computers – that they say will finally make it possible to manufacture a true, large-scale
Various type to make a Quantum Computer:
Some take up less space, but tend to be incredibly complex.
Others are simpler, but extremely large in size
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.
This document provides an introduction to quantum computing, including its history and advantages over classical computers. It discusses how quantum computing harnesses the laws of quantum mechanics to solve complex problems. The history section outlines key developments, like Feynman's 1982 proposal and Shor's 1994 algorithm for factoring large numbers quickly. Advantages listed are faster computations, such as processing data 1000 times faster than normal computers, and better simulation capabilities like for weather forecasting. Disadvantages include the challenges of developing new algorithms, maintaining low operating temperatures, high error rates, and lack of public availability currently due to costs.
SIT launches its first Master program in Computer Science and Software engineering.
Start in September and apply now.
Master in Computer Science and Software Engineering
The program is flexible and really adapted to the needs of industry. It is available both onsite in Switzerland and in an online offering. We offer attractive scholarships for qualified students and it is also possible to have your second year in one of our partner universities in Europe, USA and Asia.
About Schaffhausen Institute of Technology:
With its pioneering curriculum, the Schaffhausen Institute of Technology (SIT) offers a new model of education. Focusing on the most important areas of technology, SIT will drive research, development and innovation in a next generation learning and research environment. Using state-of-the-art facilities, SIT's students, researchers and business allies will address large-scale world problems by developing a technology curriculum based on global issues.
The digital world is facing a crisis that has at the same time opened new windows of opportunity. To tackle the shortage of potential leaders joining the digital sector, the Schaffhausen Institute of Technology (SIT) has crafted a new course: Masters of Science (MSc) in Computer Science and Software Engineering – to better prepare graduates for leadership roles, specifically within the IT and Science disciplines.
At the #SITinsights in Technology talk, we’re blending computing and economics, bringing knowledge and expertise from all relevant fields to help enable global efforts.
About Schaffhausen Institute of Technology:
With its pioneering curriculum, the Schaffhausen Institute of Technology (SIT) offers a new model of education. Focusing on the most important areas of technology, SIT will drive research, development and innovation in a next generation learning and research environment. Using state-of-the-art facilities, SIT's students, researchers and business allies will address large-scale world problems by developing a technology curriculum based on global issues.
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.
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.
Quantum Computers New Generation of Computers Part 8 Quantum Error Correction...Professor Lili Saghafi
One of the biggest hurdles faced by quantum computing researchers is called decoherence — the tendency of quantum systems to be disturbed.
This vulnerability to noise leads to errors, which can be overcome by quantum error correction.
Because error correction techniques are themselves susceptible to noise, it is crucial to develop fault-tolerant correction.
In this part we will talk about:
• Decoherence
• Fault-Tolerant Correction
• Nuclear Magnetic Resonance
• Quantum Error Correction
• Future Quantum Internet
• Quantum Networkers
• Silicon Semiconductors Limits
• Diamond-Driven Technology
• Diamond Crystals
• Interference
• Niobium
• What Is Graphene
• Scanning Tunneling Microscope
• Weyl Fermion
• Massless Particle Known As A Weyl Fermion
• Quasiparticle
• “Middle Man” Nuclei
• Hyperfine Interaction
• Computing Power Of A Huge Number Of Parallel Universes
• Many-Worlds Interpretation (Mwi)
• Quantum Computing Power
Quantum computers new generation of computers part10 New Qubits TypeProfessor Lili Saghafi
New type of qubit makes Quantum Computers affordable– the building block of quantum computers – that they say will finally make it possible to manufacture a true, large-scale
Various type to make a Quantum Computer:
Some take up less space, but tend to be incredibly complex.
Others are simpler, but extremely large in size
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.
This document provides an introduction to quantum computing, including its history and advantages over classical computers. It discusses how quantum computing harnesses the laws of quantum mechanics to solve complex problems. The history section outlines key developments, like Feynman's 1982 proposal and Shor's 1994 algorithm for factoring large numbers quickly. Advantages listed are faster computations, such as processing data 1000 times faster than normal computers, and better simulation capabilities like for weather forecasting. Disadvantages include the challenges of developing new algorithms, maintaining low operating temperatures, high error rates, and lack of public availability currently due to costs.
This seminar presentation provides an introduction to quantum computing, including its history, why it is important, how it works, potential applications, challenges, and conclusions. Specifically, it discusses how quantum computers use quantum mechanics principles like qubits and superposition to perform calculations. The history includes early proposals in 1982 and key algorithms developed in the 1990s. Applications that could benefit from quantum computing are mentioned like cryptography, artificial intelligence, and communication. Issues like error correction, decoherence, and cost are also presented. In conclusion, quantum computers may be able to simulate physical systems and even develop artificial intelligence.
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.
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 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.
The document discusses nano computing, which uses devices that are extremely small, around 100 nm in size. It describes different types of nano computers including electronic, mechanical, chemical, and quantum. It explains how nano computing works by storing data using atomic quantum states or spin. The advantages are high performance, low power usage, and smaller devices. Challenges include the high costs and difficulties of manufacturing at the nano scale. The future of nano computing could include new memory technologies and standards to utilize the new systems.
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.
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.
A file on Quantum Computing for people with least knowledge about physics, electronics, computers and programming. Perfect for people with management backgrounds. Covers understandable details about the topic.
Quantum Computers are the future and this manual explains the topic in the best possible way.
Quantum 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.
Running head: QUANTUM COMPUTING
QUANTUM COMPUTING 9
Research Paper: Quantum Computing
(Student’s Name)
(Professor’s Name)
(Course Title)
(Date of Submission)
Abstract
Quantum computers are a new era of invention, and its innovation is still to come. The revolution of the quantum computers produced a lot of challenges for ethical decision-making and predictions at different levels of life; therefore, it raised new concerns such as invasion of privacy and national security. In fact, it can be used easily to access and steal private information and data, while on the other hand, quantum computers can help to eliminate these unethical intrusions and secure the information.
Quantum computers will be the most powerful computer in the world that would open the door to encrypt the information in much less time. On the contrary, the supercomputers sometimes take so many hours to encrypt, whereas quantum computers can be used for the same purpose in a shorter time period making it harder to decrypt the data and information.
Many years from now, quantum computers will become mainstays throughout the world of computing. It will serve the individual and the community, but there is a significant concern that quantum computers could be used to invade people’s privacy (Hirvensalo, 2012).
Literature Review
The study area that is aimed on the implementation of quantum theory principles to develop computer technology is called Quantum computing. The field of quantum mechanics arose from German physicist Max Planck’s attempts to describe the spectrum emitted by hot bodies and specifically he wondered the reason behind the shift in color from red to yellow to blue as the temperature of a flame increased.
https://www.stratfor.com/analysis/approaching-quantum-leap-computing
There has been tremendous development in quantum computing since then and more research is been done to realize its full potential. Generally, quantum computing depends on quantum laws of physics. Rather than store information as 0s or 1s as conventional computers do, a quantum computer uses qubits which can be a 1 or a 0 or both at the same time. The quantum superposition along with the quantum effects of entanglement and quantum tunneling enable computers to consider and manipulate all combinations of bits simultaneously. This effect will make quantum computation powerful and fast (Williams, 2014).
http://www.dwavesys.com/quantum-computing
Researchers in quantum computing have enjoyed a greater level of success. The first small 2-qubit quantum computer was developed in 1997 and in 2001 a 5-qubit quantum computer was used to successfully factor the number 15 [85].Since then, experimental progress on a number of different technologies has been steady but slow, although the practical problems facing physical realizations of quantum computers can be addressed. It is believed that a quant.
Research paper of quantum computer in cryptographyAkshay Shelake
- The document discusses the history of quantum computing and its potential threat to modern cryptography. It explores how a quantum computer could break encryption systems like RSA by efficiently solving large integer factorization problems, using Peter Shor's algorithm.
- Cryptography organizations are researching alternatives like error-correcting codes, hash functions, and lattice/multivariate cryptography that could defend against quantum computers.
- The development of quantum computing prompts the need to transition encryption methods before full-scale quantum computers are built, otherwise governments and businesses could suffer security breaches and loss of encrypted data.
This document provides an overview of quantum computing, including its history, key concepts, applications, advantages, disadvantages, and problems. Quantum computers use quantum bits or qubits that can exist in superpositions of states, allowing them to perform certain calculations much faster than classical computers. Some key points covered include: the history of quantum computing from the 1980s to today; how quantum computers could help with problems like cryptography, artificial intelligence, and simulation; their advantages like faster computation and suitability for simulation; challenges like difficulty maintaining low operating temperatures and error correction; and their potential to revolutionize computing through solving currently intractable problems.
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.
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.
It Curriculum Development By Prof Rattan K DattaRenata Aquino
The document discusses the rapid changes in technology and proposes a dynamic curriculum model to prepare students. It outlines 3 laws of technology - Moore's law on processing power doubling every 18 months, Gilder's law on bandwidth tripling yearly, and Metcalfe's law on network value increasing with nodes. These laws are converging, with technology becoming more integrated and ubiquitous. The author proposes a 4th law on prioritizing ethics during development. A dynamic 8-semester curriculum is suggested with evolving specializations to keep up with emerging areas and chaotic growth while safeguarding values.
This document provides an overview of quantum computers, including their advantages over classical computers, key concepts like superposition and entanglement, and the history and current state of quantum computing research and development. It discusses how quantum computers work using quantum bits rather than binary bits to store information, and how companies like D-Wave are developing quantum processors. The timeline details major advances, from early theoretical work in the 1970s-1980s to experimental demonstrations of quantum gates and algorithms in the 1990s-2000s to current multi-qubit systems being researched.
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 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.
ESPP presentation to EU Waste Water Network, 4th June 2024 “EU policies driving nutrient removal and recycling
and the revised UWWTD (Urban Waste Water Treatment Directive)”
This seminar presentation provides an introduction to quantum computing, including its history, why it is important, how it works, potential applications, challenges, and conclusions. Specifically, it discusses how quantum computers use quantum mechanics principles like qubits and superposition to perform calculations. The history includes early proposals in 1982 and key algorithms developed in the 1990s. Applications that could benefit from quantum computing are mentioned like cryptography, artificial intelligence, and communication. Issues like error correction, decoherence, and cost are also presented. In conclusion, quantum computers may be able to simulate physical systems and even develop artificial intelligence.
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.
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 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.
The document discusses nano computing, which uses devices that are extremely small, around 100 nm in size. It describes different types of nano computers including electronic, mechanical, chemical, and quantum. It explains how nano computing works by storing data using atomic quantum states or spin. The advantages are high performance, low power usage, and smaller devices. Challenges include the high costs and difficulties of manufacturing at the nano scale. The future of nano computing could include new memory technologies and standards to utilize the new systems.
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.
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.
A file on Quantum Computing for people with least knowledge about physics, electronics, computers and programming. Perfect for people with management backgrounds. Covers understandable details about the topic.
Quantum Computers are the future and this manual explains the topic in the best possible way.
Quantum 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.
Running head: QUANTUM COMPUTING
QUANTUM COMPUTING 9
Research Paper: Quantum Computing
(Student’s Name)
(Professor’s Name)
(Course Title)
(Date of Submission)
Abstract
Quantum computers are a new era of invention, and its innovation is still to come. The revolution of the quantum computers produced a lot of challenges for ethical decision-making and predictions at different levels of life; therefore, it raised new concerns such as invasion of privacy and national security. In fact, it can be used easily to access and steal private information and data, while on the other hand, quantum computers can help to eliminate these unethical intrusions and secure the information.
Quantum computers will be the most powerful computer in the world that would open the door to encrypt the information in much less time. On the contrary, the supercomputers sometimes take so many hours to encrypt, whereas quantum computers can be used for the same purpose in a shorter time period making it harder to decrypt the data and information.
Many years from now, quantum computers will become mainstays throughout the world of computing. It will serve the individual and the community, but there is a significant concern that quantum computers could be used to invade people’s privacy (Hirvensalo, 2012).
Literature Review
The study area that is aimed on the implementation of quantum theory principles to develop computer technology is called Quantum computing. The field of quantum mechanics arose from German physicist Max Planck’s attempts to describe the spectrum emitted by hot bodies and specifically he wondered the reason behind the shift in color from red to yellow to blue as the temperature of a flame increased.
https://www.stratfor.com/analysis/approaching-quantum-leap-computing
There has been tremendous development in quantum computing since then and more research is been done to realize its full potential. Generally, quantum computing depends on quantum laws of physics. Rather than store information as 0s or 1s as conventional computers do, a quantum computer uses qubits which can be a 1 or a 0 or both at the same time. The quantum superposition along with the quantum effects of entanglement and quantum tunneling enable computers to consider and manipulate all combinations of bits simultaneously. This effect will make quantum computation powerful and fast (Williams, 2014).
http://www.dwavesys.com/quantum-computing
Researchers in quantum computing have enjoyed a greater level of success. The first small 2-qubit quantum computer was developed in 1997 and in 2001 a 5-qubit quantum computer was used to successfully factor the number 15 [85].Since then, experimental progress on a number of different technologies has been steady but slow, although the practical problems facing physical realizations of quantum computers can be addressed. It is believed that a quant.
Research paper of quantum computer in cryptographyAkshay Shelake
- The document discusses the history of quantum computing and its potential threat to modern cryptography. It explores how a quantum computer could break encryption systems like RSA by efficiently solving large integer factorization problems, using Peter Shor's algorithm.
- Cryptography organizations are researching alternatives like error-correcting codes, hash functions, and lattice/multivariate cryptography that could defend against quantum computers.
- The development of quantum computing prompts the need to transition encryption methods before full-scale quantum computers are built, otherwise governments and businesses could suffer security breaches and loss of encrypted data.
This document provides an overview of quantum computing, including its history, key concepts, applications, advantages, disadvantages, and problems. Quantum computers use quantum bits or qubits that can exist in superpositions of states, allowing them to perform certain calculations much faster than classical computers. Some key points covered include: the history of quantum computing from the 1980s to today; how quantum computers could help with problems like cryptography, artificial intelligence, and simulation; their advantages like faster computation and suitability for simulation; challenges like difficulty maintaining low operating temperatures and error correction; and their potential to revolutionize computing through solving currently intractable problems.
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.
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.
It Curriculum Development By Prof Rattan K DattaRenata Aquino
The document discusses the rapid changes in technology and proposes a dynamic curriculum model to prepare students. It outlines 3 laws of technology - Moore's law on processing power doubling every 18 months, Gilder's law on bandwidth tripling yearly, and Metcalfe's law on network value increasing with nodes. These laws are converging, with technology becoming more integrated and ubiquitous. The author proposes a 4th law on prioritizing ethics during development. A dynamic 8-semester curriculum is suggested with evolving specializations to keep up with emerging areas and chaotic growth while safeguarding values.
This document provides an overview of quantum computers, including their advantages over classical computers, key concepts like superposition and entanglement, and the history and current state of quantum computing research and development. It discusses how quantum computers work using quantum bits rather than binary bits to store information, and how companies like D-Wave are developing quantum processors. The timeline details major advances, from early theoretical work in the 1970s-1980s to experimental demonstrations of quantum gates and algorithms in the 1990s-2000s to current multi-qubit systems being researched.
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 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.
ESPP presentation to EU Waste Water Network, 4th June 2024 “EU policies driving nutrient removal and recycling
and the revised UWWTD (Urban Waste Water Treatment Directive)”
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
ESR spectroscopy in liquid food and beverages.pptxPRIYANKA PATEL
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
Or: Beyond linear.
Abstract: Equivariant neural networks are neural networks that incorporate symmetries. The nonlinear activation functions in these networks result in interesting nonlinear equivariant maps between simple representations, and motivate the key player of this talk: piecewise linear representation theory.
Disclaimer: No one is perfect, so please mind that there might be mistakes and typos.
dtubbenhauer@gmail.com
Corrected slides: dtubbenhauer.com/talks.html
BREEDING METHODS FOR DISEASE RESISTANCE.pptxRASHMI M G
Plant breeding for disease resistance is a strategy to reduce crop losses caused by disease. Plants have an innate immune system that allows them to recognize pathogens and provide resistance. However, breeding for long-lasting resistance often involves combining multiple resistance genes
When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best.
Conducted over a period of >200 years, Thermodynamics R&D, and application, benefitted from the highest levels of professionalism, collaboration, and technical thoroughness. New layers of application, methodology, and practice were made possible by the progressive advance of technology. In turn, this has seen measurement and modelling accuracy continually improved at a micro and macro level.
Perhaps most importantly, Thermodynamics rapidly became a primary tool in the advance of applied science/engineering/technology, spanning micro-tech, to aerospace and cosmology. I can think of no better a story to illustrate the breadth of scientific methodologies and applications at their best.
Nucleophilic Addition of carbonyl compounds.pptxSSR02
Nucleophilic addition is the most important reaction of carbonyls. Not just aldehydes and ketones, but also carboxylic acid derivatives in general.
Carbonyls undergo addition reactions with a large range of nucleophiles.
Comparing the relative basicity of the nucleophile and the product is extremely helpful in determining how reversible the addition reaction is. Reactions with Grignards and hydrides are irreversible. Reactions with weak bases like halides and carboxylates generally don’t happen.
Electronic effects (inductive effects, electron donation) have a large impact on reactivity.
Large groups adjacent to the carbonyl will slow the rate of reaction.
Neutral nucleophiles can also add to carbonyls, although their additions are generally slower and more reversible. Acid catalysis is sometimes employed to increase the rate of addition.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
2. Plan
1 History and Definition
History
Definition
2 Principle of quantum mechanics
3 Differences between digital and quantum computers
4 What is Qubit
5 Quantum and classical gate
6 Some Algorithm used in quantum computer’s
7 Quantum computer advantage
8 Quantum computer’s & Security
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 2 / 24
3. Plan
1 History and Definition
History
Definition
2 Principle of quantum mechanics
3 Differences between digital and quantum computers
4 What is Qubit
5 Quantum and classical gate
6 Some Algorithm used in quantum computer’s
7 Quantum computer advantage
8 Quantum computer’s & Security
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 2 / 24
4. Plan
1 History and Definition
History
Definition
2 Principle of quantum mechanics
3 Differences between digital and quantum computers
4 What is Qubit
5 Quantum and classical gate
6 Some Algorithm used in quantum computer’s
7 Quantum computer advantage
8 Quantum computer’s & Security
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 2 / 24
5. Plan
1 History and Definition
History
Definition
2 Principle of quantum mechanics
3 Differences between digital and quantum computers
4 What is Qubit
5 Quantum and classical gate
6 Some Algorithm used in quantum computer’s
7 Quantum computer advantage
8 Quantum computer’s & Security
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 2 / 24
6. Plan
1 History and Definition
History
Definition
2 Principle of quantum mechanics
3 Differences between digital and quantum computers
4 What is Qubit
5 Quantum and classical gate
6 Some Algorithm used in quantum computer’s
7 Quantum computer advantage
8 Quantum computer’s & Security
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 2 / 24
7. Plan
1 History and Definition
History
Definition
2 Principle of quantum mechanics
3 Differences between digital and quantum computers
4 What is Qubit
5 Quantum and classical gate
6 Some Algorithm used in quantum computer’s
7 Quantum computer advantage
8 Quantum computer’s & Security
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 2 / 24
8. Plan
1 History and Definition
History
Definition
2 Principle of quantum mechanics
3 Differences between digital and quantum computers
4 What is Qubit
5 Quantum and classical gate
6 Some Algorithm used in quantum computer’s
7 Quantum computer advantage
8 Quantum computer’s & Security
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 2 / 24
9. Plan
1 History and Definition
History
Definition
2 Principle of quantum mechanics
3 Differences between digital and quantum computers
4 What is Qubit
5 Quantum and classical gate
6 Some Algorithm used in quantum computer’s
7 Quantum computer advantage
8 Quantum computer’s & Security
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 2 / 24
10. Plan
1 History and Definition
History
Definition
2 Principle of quantum mechanics
3 Differences between digital and quantum computers
4 What is Qubit
5 Quantum and classical gate
6 Some Algorithm used in quantum computer’s
7 Quantum computer advantage
8 Quantum computer’s & Security
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 2 / 24
11. Plan
1 History and Definition
History
Definition
2 Principle of quantum mechanics
3 Differences between digital and quantum computers
4 What is Qubit
5 Quantum and classical gate
6 Some Algorithm used in quantum computer’s
7 Quantum computer advantage
8 Quantum computer’s & Security
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 2 / 24
12. History and Definition
1 History and Definition
History
Definition
2 Principle of quantum mechanics
3 Differences between digital and quantum computers
4 What is Qubit
5 Quantum and classical gate
6 Some Algorithm used in quantum computer’s
7 Quantum computer advantage
8 Quantum computer’s & Security
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 3 / 24
13. History and Definition History
History
1982 Feynman :
proposed the idea of creating machines based on the laws of
quantum mechanics instead of the laws of classical.
1985 David Deutsch :
Developed the quantum Turing machine showing that quantum
circuits are universal.
1994 Peter shor
Came up with a quantum algorithm to factor very large integers
efficiently.
1997 LOV Grover
Develops a quantum search algorithm with O
√
N complexity.
2010 D-WAVE one
first commercial quantum computer 128 qubits.
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 4 / 24
14. History and Definition History
History
1982 Feynman :
proposed the idea of creating machines based on the laws of
quantum mechanics instead of the laws of classical.
1985 David Deutsch :
Developed the quantum Turing machine showing that quantum
circuits are universal.
1994 Peter shor
Came up with a quantum algorithm to factor very large integers
efficiently.
1997 LOV Grover
Develops a quantum search algorithm with O
√
N complexity.
2010 D-WAVE one
first commercial quantum computer 128 qubits.
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 4 / 24
15. History and Definition History
History
1982 Feynman :
proposed the idea of creating machines based on the laws of
quantum mechanics instead of the laws of classical.
1985 David Deutsch :
Developed the quantum Turing machine showing that quantum
circuits are universal.
1994 Peter shor
Came up with a quantum algorithm to factor very large integers
efficiently.
1997 LOV Grover
Develops a quantum search algorithm with O
√
N complexity.
2010 D-WAVE one
first commercial quantum computer 128 qubits.
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 4 / 24
16. History and Definition History
History
1982 Feynman :
proposed the idea of creating machines based on the laws of
quantum mechanics instead of the laws of classical.
1985 David Deutsch :
Developed the quantum Turing machine showing that quantum
circuits are universal.
1994 Peter shor
Came up with a quantum algorithm to factor very large integers
efficiently.
1997 LOV Grover
Develops a quantum search algorithm with O
√
N complexity.
2010 D-WAVE one
first commercial quantum computer 128 qubits.
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 4 / 24
17. History and Definition History
History
1982 Feynman :
proposed the idea of creating machines based on the laws of
quantum mechanics instead of the laws of classical.
1985 David Deutsch :
Developed the quantum Turing machine showing that quantum
circuits are universal.
1994 Peter shor
Came up with a quantum algorithm to factor very large integers
efficiently.
1997 LOV Grover
Develops a quantum search algorithm with O
√
N complexity.
2010 D-WAVE one
first commercial quantum computer 128 qubits.
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 4 / 24
18. History and Definition Definition
What is Quantum computer
Definition
Quantum computer is a machine that performs calculation based on
the laws of quantum mechanics, which is the behaviour particles at the
sub-atomic level.
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 5 / 24
19. Principle of quantum mechanics
1 History and Definition
History
Definition
2 Principle of quantum mechanics
3 Differences between digital and quantum computers
4 What is Qubit
5 Quantum and classical gate
6 Some Algorithm used in quantum computer’s
7 Quantum computer advantage
8 Quantum computer’s & Security
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 6 / 24
20. Principle of quantum mechanics
Principle of quantum mechanics
Quantum mechanics has certain bizarre features which do not occur in
classical physics, such as:
1 Superposition
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 7 / 24
21. Principle of quantum mechanics
Principle of quantum mechanics
1 Collapse
2 Entanglement
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 8 / 24
22. Principle of quantum mechanics
Principle of quantum mechanics
1 Uncertainty
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 9 / 24
23. computers
1 History and Definition
History
Definition
2 Principle of quantum mechanics
3 Differences between digital and quantum computers
4 What is Qubit
5 Quantum and classical gate
6 Some Algorithm used in quantum computer’s
7 Quantum computer advantage
8 Quantum computer’s & Security
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 10 / 24
24. computers
Differences between digital and quantum
computers
Digital computer
Quantum computer
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 11 / 24
25. computers
Differences between digital and quantum
computers
Digital computer
Transistors
Bits-Binary digital (0 or 1)
Silicon chip
Slower Speed
Quantum computer
QM phenomena
Qubits-(0,1 or both
together)
Atoms
Faster Speed
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 12 / 24
26. What is Qubit
1 History and Definition
History
Definition
2 Principle of quantum mechanics
3 Differences between digital and quantum computers
4 What is Qubit
5 Quantum and classical gate
6 Some Algorithm used in quantum computer’s
7 Quantum computer advantage
8 Quantum computer’s & Security
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 13 / 24
27. What is Qubit
Bit and Qubit
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 14 / 24
28. Quantum and classical gate
1 History and Definition
History
Definition
2 Principle of quantum mechanics
3 Differences between digital and quantum computers
4 What is Qubit
5 Quantum and classical gate
6 Some Algorithm used in quantum computer’s
7 Quantum computer advantage
8 Quantum computer’s & Security
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 15 / 24
29. Quantum and classical gate
Classical gate
In the classic computer we use logic gates such as:
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 16 / 24
30. Quantum and classical gate
Quantum gate
In the quantum computer we use quantum gates such as:
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 17 / 24
31. Some Algorithm used in quantum computer’s
1 History and Definition
History
Definition
2 Principle of quantum mechanics
3 Differences between digital and quantum computers
4 What is Qubit
5 Quantum and classical gate
6 Some Algorithm used in quantum computer’s
7 Quantum computer advantage
8 Quantum computer’s & Security
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 18 / 24
32. Some Algorithm used in quantum computer’s
Some Algorithm used in quantum computer’s
Shor’s algorithm shows (in principle,) that a quantum computer is
capable of factoring very large numbers in polynomial time.
Modular Arithmetic
Quantum Parallelism
Quantum Fourier Transform
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 19 / 24
33. Quantum computer advantage
1 History and Definition
History
Definition
2 Principle of quantum mechanics
3 Differences between digital and quantum computers
4 What is Qubit
5 Quantum and classical gate
6 Some Algorithm used in quantum computer’s
7 Quantum computer advantage
8 Quantum computer’s & Security
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 20 / 24
34. Quantum computer advantage
Quantum computer advantage
Potential applications
-Faster combinatorial search
-Simulating quantum systems
Makes QM accessible to non-physicists
New insight into mysteries of the quantum
They developed a quantum circuit that can solve a
problem that is unsolvable using any equivalent classical
circuit.
..................
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 21 / 24
35. Quantum computer’s & Security
1 History and Definition
History
Definition
2 Principle of quantum mechanics
3 Differences between digital and quantum computers
4 What is Qubit
5 Quantum and classical gate
6 Some Algorithm used in quantum computer’s
7 Quantum computer advantage
8 Quantum computer’s & Security
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 22 / 24
36. Quantum computer’s & Security
Quantum computer’s & Security
Quantum computer’s has possibility to cancel security system’s like:
The RSA cryptosystem, And all systems that are based on
primer numbers
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 23 / 24
37. Quantum computer’s & Security
Thank you !
Feynman:
“I think I can safely say that
nobody understands quantum
mechanics”
ZERMOUM ISMAIYL (INPT) Quantum computer’s 13 Mai 2019 24 / 24