Titlebook: Quantum Information Processing; Theory and Implement János A. Bergou,Mark Hillery,Mark Saffman Textbook 2021Latest edition Springer Nature

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書目名稱Quantum Information Processing影響因子(影響力)




書目名稱Quantum Information Processing影響因子(影響力)學(xué)科排名




書目名稱Quantum Information Processing網(wǎng)絡(luò)公開(kāi)度




書目名稱Quantum Information Processing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Quantum Information Processing被引頻次




書目名稱Quantum Information Processing被引頻次學(xué)科排名




書目名稱Quantum Information Processing年度引用




書目名稱Quantum Information Processing年度引用學(xué)科排名




書目名稱Quantum Information Processing讀者反饋




書目名稱Quantum Information Processing讀者反饋學(xué)科排名

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Coterminous

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Introduction,cs not a problem for computation, it can also be an advantage. The major breakthrough in the field was Peter Shor’s factoring algorithm, which showed that a quantum computer can find the prime factors of integers in a time that scales as a polynomial of the size (number of digits) of the integer

天氣

Quantum Measurement Theory,model we’ll read out the postulates of standard quantum measurement theory. Then, by analyzing the underlying assumptions we’ll show that some of the postulates can be replaced by more relaxed ones and this will lead us to the concept of generalized measurements (POVMs) which are particularly useful in measurement optimization problems.

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Atomic Qubits,elds, together with the availability of long coherence times, motivates their use as qubits for quantum computation and simulation. Images of arrays of neutral atom and trapped ion qubits are shown in Fig. ..

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Textbook 2021Latest editionat the graduate level. While the previous edition focused on theory, the book now incorporates discussions of experimental platforms. Several chapters on experimental implementations of quantum information protocols have been added: implementations using neutral atoms, trapped ions, optics, and soli

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