Approximation Method for Optimization Problems in Gate-Model Quantum Computers

Gyöngyösi, László

doi:10.1016/j.csfx.2021.100066

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2022

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“…Many hybrid quantum variational circuits also use gate-model circuits and classical objective functions [ 30 , 31 , 32 , 33 ]. Particularly, our system model utilizes the quantum approximate optimization algorithm (QAOA) [ 6 , 7 ], which is a variational quantum algorithm, such as [ 31 , 34 , 35 ].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Problem Solving Dynamics in Gate-Model Quantum Computers

Gyöngyösi

2022

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Gate-model quantum computer architectures represent an implementable model used to realize quantum computations. The mathematical description of the dynamical attributes of adaptive problem solving and iterative objective function evaluation in a gate-model quantum computer is currently a challenge. Here, a mathematical model of adaptive problem solving dynamics in a gate-model quantum computer is defined. We characterize a canonical equation of adaptive objective function evaluation of computational problems. We study the stability of adaptive problem solving in gate-model quantum computers.

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