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AF: Small: Quantum Algorithms Arising from Ideas in Physics

AF: Small: Quantum Algorithms Arising from Ideas in Physics
AF:小:源自物理学思想的量子算法
批准号:
1525130
负责人:
Peter Shor
金额:
$32.74万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-08-01 至 2019-07-31

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中文摘要
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英文摘要
Currently, quantum computers are able to manipulate no more than a few handfuls of qubits. However, it is widely expected that in the next few decades, quantum computers that are large enough to do interesting things will be built. Currently, the most lucrative application of these appear to be in the areas of cryptography and the areas of simulation of quantum mechanics, which it is hoped will have great impact in the areas of physics, chemistry, and pharmaceutical research. However, a toolbox of techniques for designing algorithms could give quantum computers a much greater impact, if algorithms could be developed for them that speed up other classes of problems, especially ones that speed up finding either the optimal or approximation solutions for combinatorial search problems.The PIs intend to investigate several algorithms in quantum computing, approaching them by using ideas from physics, computer science, and mathematics. The PIs view quantum information science as a branch of all of these disciplines, and believe that techniques from each area can open insights into the others. The questions the PIs intend to address are related to algorithms and protocols: (1) exploration instances of adiabatic quantum algorithms where they outperform classical algorithms, (2) an in-depth study of knot-based quantum money schemes, (3) an attempt to solve quantum versions of the satisfiability problem, and (4) investigate quantum approximate optimization algorithms.
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Collaborative Research: EPiQC: Enabling Practical-Scale Quantum Computation
AF: Small: Physics Based Approaches to Quantum Information Science
EMT/QIS: Physics Based Approaches to Quantum Algorithms
DMS- MSPA-Interdisciplinary: Optimum Quantum Error Recovery
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