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Titlebook: Quantum Circuit Simulation; George F. Viamontes,Igor L. Markov,John P. Hayes Book 2009 Springer Science+Business Media B.V. 2009 Matrix.Qu

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發(fā)表于 2025-3-21 18:07:08 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Quantum Circuit Simulation
編輯George F. Viamontes,Igor L. Markov,John P. Hayes
視頻videohttp://file.papertrans.cn/782/781072/781072.mp4
概述Gently introduces necessary background to describe quantum circuits.Uses consistent notation to cover key simulation techniques that so far have been scattered through publications in physics, enginee
圖書封面Titlebook: Quantum Circuit Simulation;  George F. Viamontes,Igor L. Markov,John P. Hayes Book 2009 Springer Science+Business Media B.V. 2009 Matrix.Qu
描述.Quantum Circuit Simulation covers the fundamentals of linear algebra and introduces basic concepts of quantum physics needed to understand quantum circuits and algorithms. It requires only basic familiarity with algebra, graph algorithms and computer engineering. After introducing necessary background, the authors describe key simulation techniques that have so far been scattered throughout the research literature in physics, computer science, and computer engineering. Quantum Circuit Simulation also illustrates the development of software for quantum simulation by example of the QuIDDPro package, which is freely available and can be used by students of quantum information as a "quantum calculator.".
出版日期Book 2009
關(guān)鍵詞Matrix; Quantum mechanics; algorithms; integrated circuit; linear algebra; modeling; simulation; static-ind
版次1
doihttps://doi.org/10.1007/978-90-481-3065-8
isbn_softcover978-94-007-9125-1
isbn_ebook978-90-481-3065-8
copyrightSpringer Science+Business Media B.V. 2009
The information of publication is updating

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Improving QuIDD-based Simulation,ect a computation‘s final outcome. Although this technique cannot be used in every case, it can exponentially reduce simulation complexity in important special cases. We illustrate this by simulating a circuit with several types of continuous errors and evaluating the effectiveness of “bang-bang” error correction.
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State-Vector Simulation with Decision Diagrams, exponential, and the worst case is not typical for structured circuits arising in practical applications. Later in the chapter, benchmark results with Grover‘s quantum search algorithm will reveal that a QuIDD-based simulator outperforms several implementations of qubit-wise multiplication in terms of asymptotic runtime and memory usage.
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Generic Circuit Simulation Techniques,st of which include front-ends to general-purpose quantum simulation software. Here we focus on the more powerful and sophisticated simulation algorithms and assess their advantages and disadvantages. This chapter may be skipped without significant loss of continuity.
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Introduction,ineering. The physicist and Nobel laureate Richard Feynman, among others, observed in the 1980s that the important task of simulating quantum-mechanical processes on a standard computer requires an extraordinary amount of computer memory and runtime [41]. Such observations gave rise to the notion of
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