A quantum genetic algorithm with quantum crossover and mutation operations

02/09/2012
by   Akira SaiToh, et al.
0

In the context of evolutionary quantum computing in the literal meaning, a quantum crossover operation has not been introduced so far. Here, we introduce a novel quantum genetic algorithm which has a quantum crossover procedure performing crossovers among all chromosomes in parallel for each generation. A complexity analysis shows that a quadratic speedup is achieved over its classical counterpart in the dominant factor of the run time to handle each generation.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
07/23/2010

Building Blocks Propagation in Quantum-Inspired Genetic Algorithm

This paper presents an analysis of building blocks propagation in Quantu...
research
08/11/2015

Topology Control of wireless sensor network using Quantum Inspired Genetic algorithm

In this work, an evolving Linked Quantum register has been introduced, w...
research
12/03/2018

Designing quantum experiments with a genetic algorithm

We introduce a genetic algorithm that designs quantum optics experiments...
research
07/02/2014

Higher-Order Quantum-Inspired Genetic Algorithms

This paper presents a theory and an empirical evaluation of Higher-Order...
research
03/26/2019

A Probabilistic Bitwise Genetic Algorithm for B-Spline based Image Deformation Estimation

We propose a novel genetic algorithm to solve the image deformation esti...
research
07/18/2011

Evolutionary Quantum Logic Synthesis of Boolean Reversible Logic Circuits Embedded in Ternary Quantum Space using Heuristics

It has been experimentally proven that realizing universal quantum gates...
research
11/02/2021

Towards an Optimal Hybrid Algorithm for EV Charging Stations Placement using Quantum Annealing and Genetic Algorithms

Quantum Annealing is a heuristic for solving optimization problems that ...

Please sign up or login with your details

Forgot password? Click here to reset