期刊
SCIENTIFIC REPORTS
卷 10, 期 1, 页码 -出版社
NATURE PORTFOLIO
DOI: 10.1038/s41598-020-71007-9
关键词
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资金
- Budapest University of Technology and Economics (BME)
- Hungarian Academy of Sciences (MTA Premium Postdoctoral Research Program 2019)
- National Research, Development and Innovation Fund (Thematic Excellence Program) [TUDFO/51757/2019-ITM]
- National Research Development and Innovation Office of Hungary [2017-1.2.1-NKP-2017-00001]
- Hungarian Scientific Research Fund -OTKA [K-112125]
- BME Artificial Intelligence FIKP grant of EMMI (Budapest University of Technology, BME FIKP-MI/SC)
Quantum computers provide a valuable resource to solve computational problems. The maximization of the objective function of a computational problem is a crucial problem in gate-model quantum computers. The objective function estimation is a high-cost procedure that requires several rounds of quantum computations and measurements. Here, we define a method for objective function estimation of arbitrary computational problems in gate-model quantum computers. The proposed solution significantly reduces the costs of the objective function estimation and provides an optimized estimate of the state of the quantum computer for solving optimization problems.
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