ArticleScientific reports2020
Objective function estimation for solving optimization problems in gate-model quantum computers.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Scalable distributed gate-model quantum computers.Scientific reports · 2021Article
- Resource prioritization and balancing for the quantum internet.Scientific reports · 2020Article
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1 author.
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Abstract
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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