Skip to main content

ImFil - Implicit Filtering

Project description

ImFil is intended for optimizing on derivative-free, noisy, blackbox functions. This modified version has preset defaults as intended for hybrid quantum-classical algorithms run on Noisy Intermediate Scale Quantum (NISQ) computers.

This version of ImFil was modified and redistributed with permission.

Copyright of original (v1.0.2):
C.T. Kelley, NCSU
Copyright of modifications:
UC Regents, Berkeley
Official website:
https://ctk.math.ncsu.edu/imfil.html
Reference:
C.T. Kelley, “Implicit Filtering”, 2011, ISBN: 978-1-61197-189-7 https://epubs.siam.org/doi/book/10.1137/1.9781611971903

Project details


Download files

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

Files for SQImFil, version 0.3.2
Filename, size File type Python version Upload date Hashes
Filename, size SQImFil-0.3.2.tar.gz (27.9 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page