Work

Approximation Method for Optimization Problems in Gate-Model Quantum Computers

Year: 2021

Type: article

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.

Source: Chaos Solitons & Fractals X

DOI: 10.1016/j.csfx.2021.100066

Author: Laszlo Gyongyosi

Institutions: Budapest University of Technology and Economics, Hungarian Academy of Sciences

Language: English

Topic: Quantum Computing Algorithms and Architecture

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $1,500

Funders: Budapesti Műszaki és Gazdaságtudományi Egyetem, Magyar Tudományos Akadémia, Nemzeti Kutatási és Technológiai Hivatal