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Titlebook: Quantum Computer Science; Marco Lanzagorta,Jeffrey Uhlmann Book 2008 Springer Nature Switzerland AG 2008

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发表于 2025-3-21 17:56:15 | 显示全部楼层 |阅读模式
书目名称Quantum Computer Science
编辑Marco Lanzagorta,Jeffrey Uhlmann
视频video
丛书名称Synthesis Lectures on Quantum Computing
图书封面Titlebook: Quantum Computer Science;  Marco Lanzagorta,Jeffrey Uhlmann Book 2008 Springer Nature Switzerland AG 2008
描述In this text we present a technical overview of the emerging field of quantum computation along with new research results by the authors. What distinguishes our presentation from that of others is our focus on the relationship between quantum computation and computer science. Specifically, our emphasis is on the computational model of quantum computingrather than on the engineering issues associated with its physical implementation. We adopt this approach for the same reason that a book on computer programming doesn‘t cover the theory and physical realization of semiconductors. Another distinguishing feature of this text is our detailed discussion of the circuit complexity of quantum algorithms. To the extent possible we have presented the material in a form that is accessible to the computer scientist, but in many cases we retain the conventional physics notation so that the reader will also be able to consult the relevant quantum computing literature. Although we expect the reader tohave a solid understanding of linear algebra, we do not assume a background in physics. This text is based on lectures given as short courses and invited presentations around the world, and it has bee
出版日期Book 2008
版次1
doihttps://doi.org/10.1007/978-3-031-02512-9
isbn_softcover978-3-031-01384-3
isbn_ebook978-3-031-02512-9Series ISSN 1945-9726 Series E-ISSN 1945-9734
issn_series 1945-9726
copyrightSpringer Nature Switzerland AG 2008
The information of publication is updating

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The Quantum Fourier Transform,is widely used in virtually every single area of physics and engineering, including optics, high energy physics, acoustics, signal analysis, and image processing. Arguably, the ability to efficiently perform Fourier Transforms could radically change the amount of computational resources needed to solve a variety of problems.
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978-3-031-01384-3Springer Nature Switzerland AG 2008
发表于 2025-3-22 10:59:08 | 显示全部楼层
Quantum Computer Science978-3-031-02512-9Series ISSN 1945-9726 Series E-ISSN 1945-9734
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Case Study:The Hidden Subgroup,As we discussed on the previous chapter, it is not feasible to apply Quantum Fourier Transforms to solve problems in optics,signal analysis,or electrodynamics.Indeed,the Quantum FourierTransform suffers from unsurmountable deficiencies that prevent it from being used to accelerate classical applications in a trivial manner.
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Synthesis Lectures on Quantum Computinghttp://image.papertrans.cn/q/image/781094.jpg
发表于 2025-3-23 03:14:42 | 显示全部楼层
Introduction,may consist of a theoretical proof that the current state-of-the-art cannot be significantly improved. The latter case imposes a fundamental constraint on the size of problems that can be solved in a fixed amount of time on a given computer. The only way to increase the size of problems that can be
发表于 2025-3-23 05:35:26 | 显示全部楼层
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