Evolution of a human-competitive quantum fourier transform algorithm using genetic programming

13 years 10 months ago

Download www-users.cs.york.ac.uk

In this paper, we show how genetic programming (GP) can be used to evolve system-size-independent quantum algorithms, and present a human-competitive Quantum Fourier Transform (QFT) algorithm evolved by GP. Categories and Subject Descriptors

Paul Massey, John A. Clark, Susan Stepney

Real-time Traffic

GECCO 2005 | Quantum Fourier Transform | Subject Descriptors | System-size-independent Quantum Algorithms |

claim paper

» The second harmonic generation casestudy as a gateway for es to quantum control problems

» Genetic programming with primitive recursion

» Genetic programming in the wild evolving unrestricted bytecode

» Evolutionary learning with kernels a generic solution for large margin problems

Post Info
More Details (n/a)

Added	27 Jun 2010
Updated	27 Jun 2010
Type	Conference
Year	2005
Where	GECCO
Authors	Paul Massey, John A. Clark, Susan Stepney

Comments (0)

Sciweavers

Evolution of a human-competitive quantum fourier transform algorithm using genetic programming

GECCO 2005 | Quantum Fourier Transform | Subject Descriptors | System-size-independent Quantum Algorithms |

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers