Skip to main content

OpenFermion-FQE

The Fermionic Quantum Emulator (FQE) is a light weight fermionic circuit simulator.
The emulator uses number and projected spin quantum numbers to reduce the cost of simulating state evolutions under fermionic generators.

Python package

Getting Started

Installing FQE can be done via pip install fqe.

For information about getting started, please see the OpenFermion-FQE Guide & Tutorials.

How to contribute

We'd love to accept your contributions and patches to OpenFermion-FQE. There are a few small guidelines you need to follow. Contributions to OpenFermion-FQE must be accompanied by a Contributor License Agreement. You (or your employer) retain the copyright to your contribution, this simply gives us permission to use and redistribute your contributions as part of the project. Head over to https://cla.developers.google.com/ to see your current agreements on file or to sign a new one.

All submissions, including submissions by project members, require review. We use GitHub pull requests for this purpose. Consult GitHub Help for more information on using pull requests. Furthermore, please make sure your new code comes with extensive tests! We use automatic testing to make sure all pull requests pass tests and do not decrease overall test coverage by too much. Make sure you adhere to our style guide. Just have a look at our code for clues. We mostly follow PEP 8 and use the corresponding linter to check for it. Code should always come with documentation, which is generated automatically and can be found here.

We use Github issues for tracking requests and bugs. Please post questions to the Quantum Computing Stack Exchange with an 'openfermion-fqe' tag.

Authors

Google Quantum AI:
Nicholas C. Rubin, Ryan Babbush

QSimulate:
Klaas Gunst, Alec White, Leon Freitag, Kyle Throssell, Toru Shiozaki

Caltech:
Garnet Chan

The initial version of OpenFermion-FQE has been developed in collaboration between QSimulate and Google Quantum AI.

How to cite

When using OpenFermion-FQE for research projects, please cite:

@misc{fqe_2021,
    author       = {Nicholas C. Rubin, Klaas Gunst, Alec White, Leon Freitag,
                    Kyle Throssell, Garnet Chan, Ryan Babbush, Toru Shiozaki},
    title        = {The Fermionic Quantum Emulator, version 0.2.0},
    month        = {July},
    year         = {2021},
    url          = {https://github.com/quantumlib/OpenFermion-FQE} 
    }

Disclaimer

Copyright 2020-2021 Google LLC. This is not an official Google product.

Metadata

Release files for fqe 0.3.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for fqe 0.3.0
File Size Uploaded
fqe-0.3.0.tar.gz 148.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for fqe 0.3.0
File Interpreter ABI Platform
fqe-0.3.0-cp38-cp38-macosx_11_0_arm64.whl CPython 3.8 CPython 3.8 macOS 11.0+ ARM64 Details

Total release size: 571.6 kB

Release files / fqe-0.3.0.tar.gz

Download URL fqe-0.3.0.tar.gz
Size 148.1 kB
Tags Source
SHA-256 checksum
How to use checksums
7aadb5292253ad82dd282a7e9d773134787e05e267ea8c995f5d9ce060074518
BLAKE2b-256 checksum
How to use checksums
cee0f105e565e32b7924812633d29c236e083a8ae9f397f8dc8f16b4381837cc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.8.13

Release files / fqe-0.3.0-cp38-cp38-macosx_11_0_arm64.whl

Download URL fqe-0.3.0-cp38-cp38-macosx_11_0_arm64.whl
Size 423.5 kB
Tags CPython 3.8 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
23822e988cf5e1dc1e42ff2831ed6ab0463f0ad363a74c4bc7f8f7906281536c
BLAKE2b-256 checksum
How to use checksums
2aa462b44a8d7e1019f90a067154625b9b78947d2838581a74f40d22e2e560ab
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.8.13

Release history Release notifications | RSS feed

This release

0.3.0 This release

2 release files

0.2.0

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page