Skip to main content

Genetic Algorithm for VQC ansatz search.

Project description

GA for VQC Ansatz Search

This is a module to support Variational Quantum Circuits by optimizing the ansatz. The ansatz optimization is performed using a Genetic Algorithm, which can be sped up with GPUs.

Installation

Run the following to install:

$ pip install ga_vqc

Contributors

This module was developed through the Caltech SURF program. Special thanks to my mentor at Caltech.

  • Jean-Roch (California Institute of Technology, Pasadena, CA 91125, USA)

Usage

import ga_vqc as gav

# Config (hyperparameters) for GA, see full list in example
config = {
    'backend': 'simple',
    'vqc': main,
}

# Create the GA with the given hyperparameters
ga = gav.setup(config)

# Evolve the GA and search for the best ansatz
ga.evolve()

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ga_vqc-0.0.39.tar.gz (9.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ga_vqc-0.0.39-py3-none-any.whl (9.6 kB view details)

Uploaded Python 3

File details

Details for the file ga_vqc-0.0.39.tar.gz.

File metadata

  • Download URL: ga_vqc-0.0.39.tar.gz
  • Upload date:
  • Size: 9.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.6

File hashes

Hashes for ga_vqc-0.0.39.tar.gz
Algorithm Hash digest
SHA256 d6a6922f75240c67d9ee4e1bdba7da2a9764bac5059a6add2f44b6ef44fb0fd6
MD5 8890cc897bcce93fde4789faeb255a08
BLAKE2b-256 f50c4a6b20098533e59a2375723875c4c945be75538615d0b320c9cf771466b4

See more details on using hashes here.

File details

Details for the file ga_vqc-0.0.39-py3-none-any.whl.

File metadata

  • Download URL: ga_vqc-0.0.39-py3-none-any.whl
  • Upload date:
  • Size: 9.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.6

File hashes

Hashes for ga_vqc-0.0.39-py3-none-any.whl
Algorithm Hash digest
SHA256 7d82b18f6f10fdb497c0516c4a34d40ca8ef393f7c7a15880e8c9388667527c1
MD5 d860b579d1b86373bb035323f7839fef
BLAKE2b-256 0503c0103e8b1405acd5be5c2f53d738be4259b25b4a5a31fb8a343d3c6eddd2

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page