Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

arXiv:quant-ph/0511036

Evolving Quantum Circuits using Genetic Algorithms

Prashant .

Published Nov 3, 2005• 8 citations
arXivHTMLPDF

Abstract

The article is taken out.
DOI
10.48550/arxiv.quant-ph/0511036

Related papers

Evolving Quantum Circuits and Programs Through Genetic Programming

Paul Massey, John A. Clark, Susan Stepney

Lecture notes in computer science•Jan 1, 2004•42 citations

Genetic algorithm for quantum circuit design

Taro YABUKI, Hitoshi Iba

IEICE technical report. Artificial intelligence and knowledge-based processing•May 19, 2000•3 citations

Automatic Synthesis for Quantum Circuits Using Genetic Algorithms

Cristian Ruican, Mihai Udrescu, Lucian Prodan +1 more

Lecture notes in computer science•Jul 3, 2007•21 citations

A Genetic Algorithm for Quantum Circuit Generation in OpenQASM

Teong Joo Ong, Chye Cheah Tan

Lecture notes in networks and systems•Aug 2, 2021•1 citation

Evolving quantum circuits using genetic algorithm

M. Lukac, Marek A. Perkowski

In this paper we focus on a general approach of using genetic algorithm (GA) to evolve Quantum circuits (QC). We propose a generic GA to evolve arbitrary quantum. circuit specified by a (target) unitary matrix as well as a specific encoding that reduces the time of calculating the resultant unitary matrices of chromosomes. We demonstrate that, in contrast to previous approaches, our encoding allows synthesis of small quantum circuits of arbitrary type, using standard genetic operators.

NASA/DoD Conference on Evolvable Hardware•Jun 25, 2003•77 citations

A new Quantum Inspired Genetic Algorithm for Evolvable Hardware

Rustem Popa, Viorel Nicolau, Silviu Epure

The developments in the area of Evolvable Quantum Hardware (QEHW) are based on successful quantum genetic algorithms (QGAs) that take advantage of both the Genetic Algorithms (GAs) and Quantum Computation (QC) parallelism. This paper presents a new Quantum Inspired Genetic Algorithm (QIGA) based on the evolution of a single chromosome. A simple combinational circuit has been implemented using a conventional GA (CGA), a single chromosome QGA (SCQGA), and the new QIGA. In the last case, the total evolution time has been considerably reduced, by changing the population size used in the evolution.

•Sep 1, 2010•5 citations
The developments in the area of Evolvable Quantum Hardware (QEHW) are based on successful quantum genetic algorithms (QGAs) that take advantage of both the Genetic Algorithms (GAs) and Quantum Computation (QC) parallelism. This paper presents a new Quantum Inspired Genetic Algorithm (QIGA) based on the evolution of a single chromosome. A simple combinational circuit has been implemented using a conventional GA (CGA), a single chromosome QGA (SCQGA), and the new QIGA. In the last case, the total evolution time has been considerably reduced, by changing the population size used in the evolution.