Brief Presentation on Quantum Computing.pptx
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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.
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Quantum Computing ppt
This seminar presentation provides an introduction to quantum computing, including its history, why it is important, how it works, potential applications, challenges, and conclusions. Specifically, it discusses how quantum computers use quantum mechanics principles like qubits and superposition to perform calculations. The history includes early proposals in 1982 and key algorithms developed in the 1990s. Applications that could benefit from quantum computing are mentioned like cryptography, artificial intelligence, and communication. Issues like error correction, decoherence, and cost are also presented. In conclusion, quantum computers may be able to simulate physical systems and even develop artificial intelligence.
Quantum computer ppt
This document presents an overview of quantum computers. It begins with an introduction and brief outline, then discusses the history of quantum computing from 1982 onwards. It explains that quantum computers use quantum mechanics principles like qubits and superposition to potentially solve problems beyond the capabilities of classical computers. Some applications mentioned include cryptography, artificial intelligence, and teleportation. Challenges like decoherence and error correction are also noted. The conclusion states that if successfully built, quantum computers could revolutionize society.
Quantum-Computing-ppt.pptx
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 computing
Quantum computing uses principles of quantum theory and qubits (quantum bits) that can represent superpositions of states to perform calculations. The document traces the history of quantum computing from its proposal in 1982 to modern developments. It explains key concepts like qubits, entanglement, and parallelism that allow quantum computers to solve certain problems like factorization and simulation much faster than classical computers. Recent progress in building quantum computers is discussed, including D-Wave Systems' quantum annealing approach. While obstacles remain, quantum computing could have important applications in networking, cryptography, and artificial intelligence.
Quantum computing
Quantum computing is one of the greatest invention . It will Solve many problems of our life. We hope we will be able to use it very soon.
Presentation 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 computer
Quantum computers perform calculations using quantum mechanics and qubits that can represent superpositions of states. While classical computers use bits that are either 0 or 1, qubits can be both 0 and 1 simultaneously. This allows quantum computers to massively parallelize computations. Some potential applications include simulating molecular interactions for drug development, breaking encryption standards, and optimizing machine learning models. Several companies are working to develop quantum computers, but building large-scale, reliable versions remains a challenge due to the difficulty of controlling qubits.
Quantum Computing by Elisha.pptx
Quantum computing uses quantum mechanics and qubits to perform calculations exponentially faster than classical computers for certain problems. It has the potential to enable powerful artificial intelligence and solve problems that are currently unsolvable. However, quantum computers are very difficult to build and operate due to their sensitivity, temperature requirements, and other challenges. The future of quantum computing is promising, with the market expected to reach $2.2 billion by 2026, but significant technological advances are still needed for quantum computers to become practical for general-purpose use.
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Quantum Computing ppt
This seminar presentation provides an introduction to quantum computing, including its history, why it is important, how it works, potential applications, challenges, and conclusions. Specifically, it discusses how quantum computers use quantum mechanics principles like qubits and superposition to perform calculations. The history includes early proposals in 1982 and key algorithms developed in the 1990s. Applications that could benefit from quantum computing are mentioned like cryptography, artificial intelligence, and communication. Issues like error correction, decoherence, and cost are also presented. In conclusion, quantum computers may be able to simulate physical systems and even develop artificial intelligence.
Quantum computer ppt
This document presents an overview of quantum computers. It begins with an introduction and brief outline, then discusses the history of quantum computing from 1982 onwards. It explains that quantum computers use quantum mechanics principles like qubits and superposition to potentially solve problems beyond the capabilities of classical computers. Some applications mentioned include cryptography, artificial intelligence, and teleportation. Challenges like decoherence and error correction are also noted. The conclusion states that if successfully built, quantum computers could revolutionize society.
Quantum-Computing-ppt.pptx
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 computing
Quantum computing uses principles of quantum theory and qubits (quantum bits) that can represent superpositions of states to perform calculations. The document traces the history of quantum computing from its proposal in 1982 to modern developments. It explains key concepts like qubits, entanglement, and parallelism that allow quantum computers to solve certain problems like factorization and simulation much faster than classical computers. Recent progress in building quantum computers is discussed, including D-Wave Systems' quantum annealing approach. While obstacles remain, quantum computing could have important applications in networking, cryptography, and artificial intelligence.
Quantum computing
Quantum computing is one of the greatest invention . It will Solve many problems of our life. We hope we will be able to use it very soon.
Presentation 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 computer
Quantum computers perform calculations using quantum mechanics and qubits that can represent superpositions of states. While classical computers use bits that are either 0 or 1, qubits can be both 0 and 1 simultaneously. This allows quantum computers to massively parallelize computations. Some potential applications include simulating molecular interactions for drug development, breaking encryption standards, and optimizing machine learning models. Several companies are working to develop quantum computers, but building large-scale, reliable versions remains a challenge due to the difficulty of controlling qubits.
Quantum Computing by Elisha.pptx
Quantum computing uses quantum mechanics and qubits to perform calculations exponentially faster than classical computers for certain problems. It has the potential to enable powerful artificial intelligence and solve problems that are currently unsolvable. However, quantum computers are very difficult to build and operate due to their sensitivity, temperature requirements, and other challenges. The future of quantum computing is promising, with the market expected to reach $2.2 billion by 2026, but significant technological advances are still needed for quantum computers to become practical for general-purpose use.
Quantum computers
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.
Quantum Computation: An Overview
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.
quantumcomputer-190731154949.pptx
Quantum computing utilizes quantum mechanics phenomena like superposition and entanglement to perform calculations. While classical computers use bits that are either 1 or 0, quantum computers use quantum bits or qubits that can be both 1 and 0 simultaneously. This allows quantum computers to massively parallel processes and solve certain problems like factoring large numbers much faster than classical computers. Several companies are working on building quantum computers but challenges remain in building stable and large-scale quantum systems. Quantum computing could revolutionize fields like optimization, machine learning, drug development and more once fully developed.
Quantum computer
The document discusses the basics of quantum computing. It explains that quantum computers use qubits that can represent 0, 1, or both values simultaneously. Operations are performed using quantum logic gates to manipulate the qubits. Several important developments in quantum computing are mentioned, such as Feynman's proposal of a quantum computer in 1981, Deutsch developing the quantum Turing machine in 1985, and Shor creating an algorithm for integer factorization in 1994. Potential applications of quantum computing include factoring, simulations, encryption, and artificial intelligence. However, challenges remain such as quantum decoherence and error correction.
Quantum computing ajay.pptx
Quantum computing harnesses the laws of quantum mechanics to perform calculations exponentially faster than classical computers. It uses quantum bits that can represent both 1s and 0s through superposition and entanglement. While classical computers use binary digits that are either 1 or 0, quantum computers use quantum bits that can be 1, 0, or both at the same time. This allows quantum computers to perform parallel processing. Several companies are researching quantum computing including D-Wave, 1QB Information Technologies, and Cambridge Quantum Computing with potential applications in weather forecasting, drug discovery, and cryptography.
Quantum Computing
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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.
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Presents an overview of quantum computing including its history, key concepts like qubits and superposition, applications like factoring large numbers and solving optimization problems, and advantages like speed and security compared to classical computers. Some challenges to building quantum computers are maintaining stability due to sensitivity to interference and requiring very cold temperatures.
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The document discusses quantum computing, how it differs from classical computing, and its potential applications and challenges. Quantum computers use quantum bits that can exist in superpositions of states, allowing them to exponentially speed up computations. Some applications include quantum algorithms for machine learning and decision making. However, current challenges include difficulty consistently maintaining quantum states due to environmental interference. Many companies are actively researching quantum computing as it may transform computing in the future.
Quantum computers
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.
Presentation on quantum_computing
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
Introduction to Quantum Computing - Copy.pptx
its all about how quantum computing works and how it can change the whole world. the real cases and the current companies who are working on the quantum computers and how they are going to affect the world.
Quantum computer
This document discusses quantum computers and how they differ from classical computers. It provides definitions for key quantum computing concepts like qubits, which can represent superpositions of 0s and 1s, unlike classical bits which are always 0 or 1. The document outlines some of the history of quantum computing research and current developments like D-Wave Systems, a leader in quantum computing systems. It compares quantum and classical computers and lists some potential applications of quantum computing in fields like machine learning, optimization problems, and artificial intelligence. However, it also notes the challenges of quantum computing like difficulty interpreting results and need for further algorithm development.
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Quantum computing description in short. History about quantum computers. Hero's of quantum computers,. introductions abstract what are quantum computers
Introduction to Quantum Computing.pptx.pdf
Quantum computing uses principles of quantum mechanics to perform computation. It works with qubits that can represent multiple states simultaneously, unlike classical bits that are either 0 or 1. While fully functional quantum computers do not yet exist, companies are working to develop them to help solve complex problems in areas like optimization, machine learning, and simulation. Key challenges include building systems that can support large numbers of stable qubits and developing quantum gates and error correction. Physicists' understanding of quantum physics is crucial to overcoming these challenges in the race to develop practical quantum computers.
Quantum Computing in Cloud
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.
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Quantum computing utilizes quantum mechanics phenomena like superposition and entanglement to perform calculations. While classical computers use bits that are either 1 or 0, quantum computers use quantum bits or qubits that can be both 1 and 0 simultaneously. This allows quantum computers to massively parallel processes and solve certain problems like factoring large numbers much faster than classical computers. Several companies are working on building quantum computers but challenges remain in building stable and large-scale quantum systems. Quantum computing could revolutionize fields like optimization, machine learning, drug development and more once fully developed.
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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.
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Abstract:
In this talk I will describe some recent ideas to find gravitational waves from supermassive black holes or of primordial origin by studying their secular effect on the orbital motion of the Moon or satellites that are laser ranged.Shallowest Oil Discovery of Turkiye.pptx
The Petroleum System of the Çukurova Field - the Shallowest Oil Discovery of Türkiye, Adana
快速办理(UAM毕业证书)马德里自治大学毕业证学位证一模一样
学校原件一模一样【微信：741003700 】《(UAM毕业证书)马德里自治大学毕业证学位证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
The technology uses reclaimed CO₂ as the dyeing medium in a closed loop process. When pressurized, CO₂ becomes supercritical (SC-CO₂). In this state CO₂ has a very high solvent power, allowing the dye to dissolve easily.
在线办理(salfor毕业证书)索尔福德大学毕业证毕业完成信一模一样
学校原件一模一样【微信：741003700 】《(salfor毕业证书)索尔福德大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Immersive Learning That Works: Research Grounding and Paths Forward
We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.
The binding of cosmological structures by massless topological defects
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
The cost of acquiring information by natural selection
This is a short talk that I gave at the Banff International Research Station workshop on Modeling and Theory in Population Biology. The idea is to try to understand how the burden of natural selection relates to the amount of information that selection puts into the genome.
It's based on the first part of this research paper:
The cost of information acquisition by natural selection
Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom
bioRxiv 2022.07.02.498577; doi: https://doi.org/10.1101/2022.07.02.498577
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Brief Presentation on Quantum Computing.pptx
- 2. Content 1. Introduction 2. History 3. Why Quantum computer 4. What special about quantum computer 5. Advantages 6. Disadvantages
- 3. Introduction Quantum computing is a rapidly-emerging technology that harnesses the laws of quantum mechanics to solve problems too complex for classical computers.
- 4. HISTORY 1982 - Feynman proposed the idea of creating machines based on the laws of quantum mechanics instead of the laws of classical physics. 1985 - David Deutsch developed the quantum Turing machine, showing that quantum circuits are universal. 1994 - Peter Shor came up with a quantum algorithm to factor very large numbers in polynomial time. 1997 - Lov Grover develops a quantum search algorithm with O(√N) complexity
- 5. Why Quantum computer Moore’ law slowing down. Now Transistor Size = Almost 7nm Quantum Tunneling
- 6. What special about Quantum computing
- 7. Advantages Faster computations:- Quantum computers have computation power higher than supercomputers also. They can process data at 1000 times faster than normal computers and supercomputers. Best for simulation:- Quantum computers are best for doing data simulation computing. There are many algorithms created that can simulate various things like weather forecasting, chemical simulation etc.
- 8. Disadvantages Algorithm creation:- For every type of computation, it needs to write a new algorithm. Quantum computers cannot work as classical computers, they need special algorithms to perform tasks in their environment. The low temperature needed:- As the processing in these computers is done very deeply so it needs a temperature of negative 273.135 degree C. This is the lowest temperature of the universe and it is very difficult to maintain that temperature. Not open for public:- Due to the high range price they are not available for public use. Also, the errors in these type of computers are high because they are still in the development phase.
- 9. Thank You