Approximation Method for Optimization Problems in Gate-Model Quantum Computers

Laszlo Gyongyosi
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引用次数: 1

Abstract

In near-term quantum computers, the computations are realized via unitary operators. The optimization problem fed into the quantum computer sets an objective function that is to be estimated via several measurement rounds. Here, we define a procedure for objective function approximation in gate-model quantum computers. The proposed solution optimizes the process of objective function estimation for optimization problems in gate-model quantum computers and quantum devices.

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门型量子计算机优化问题的近似方法
在近期量子计算机中,计算是通过酉算子实现的。输入量子计算机的优化问题设置了一个目标函数,该目标函数将通过几轮测量来估计。在这里,我们定义了一个门型量子计算机的目标函数逼近过程。该方法优化了门型量子计算机和量子器件优化问题的目标函数估计过程。
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来源期刊
Chaos, Solitons and Fractals: X
Chaos, Solitons and Fractals: X Mathematics-Mathematics (all)
CiteScore
5.00
自引率
0.00%
发文量
15
审稿时长
20 weeks
期刊最新文献
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