PennyLane-Qrack Plugin
The PennyLane-Qrack plugin integrates the Qrack quantum computing framework with PennyLane’s quantum machine learning capabilities.
Performance can benefit greatly from following the Qrack repository “Quick Start” and “Power user considerations.”
This plugin is addapted from the PennyLane-Qulacs plugin, under the Apache License 2.0, with many thanks to the original developers!
PennyLane is a cross-platform Python library for quantum machine learning, automatic differentiation, and optimization of hybrid quantum-classical computations.
unitaryfund/qrack (formerly vm6502q/qrack) is a software library for quantum computing, written in C++ and with GPU support.
PennyLane Catalyst provides optional quantum just-in-time (QJIT) compilation, for improved performance.
Features
Provides access to a PyQrack simulator backend via the qrack.simulator device
Provides access to a (C++) Qrack simulator backend for Catalyst (also) via the qrack.simulator device
Provides access to a PyQrack near-Clifford simulator backend via the qrack.stabilizer device
Provides access to a PyQrack simulator backend optimized for large-scale approximate simulation via the qrack.ace device
Installation
This plugin requires Python version 3.9 or above, as well as PennyLane and the Qrack library.
Installation of this plugin as well as all its Python dependencies can be done using pip (or pip3, as appropriate):
$ pip3 install pennylane-qrackThis step should automatically build the latest main branch Qrack library, for Catalyst support, if Catalyst support is available.
Dependencies
PennyLane-Qrack requires the following libraries be installed:
as well as the following Python packages:
with optional functionality provided by the following Python packages:
Catalyst >= 0.7
If you currently do not have Python 3 installed, we recommend Anaconda for Python 3, a distributed version of Python packaged for scientific computation.
Tests
To test that the PennyLane-Qrack plugin is working correctly you can run
$ make testin the source folder.
Contributing
We welcome contributions - simply fork the repository of this plugin, and then make a pull request containing your contribution. All contributers to this plugin will be listed as authors on the releases.
We also encourage bug reports, suggestions for new features and enhancements, and even links to cool projects or applications built on PennyLane.
Support
Source Code: https://github.com/vm6502q/pennylane-qrack
Issue Tracker: https://github.com/vm6502q/pennylane-qrack/issues
PennyLane Forum: https://discuss.pennylane.ai
If you are having issues, please let us know by posting the issue on our Github issue tracker, or by asking a question in the forum.
License
The PennyLane-Qrack plugin is free and open source, released under the Apache License, Version 2.0.
1 maintainer
Metadata
1 maintainer
Release files for pennylane-qrack 1.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| pennylane_qrack-1.3.0.tar.gz | 37.5 kB | Without provenance | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| pennylane_qrack-1.3.0-py3-none-win_amd64.whl | Python 3 | none | Windows x86-64 | Details |
| pennylane_qrack-1.3.0-py3-none-manylinux_2_39_x86_64.whl | Python 3 | none | Linux glibc 2.39+ x86-64 | Details |
| pennylane_qrack-1.3.0-py3-none-manylinux_2_35_x86_64.whl | Python 3 | none | Linux glibc 2.35+ x86-64 | Details |
| pennylane_qrack-1.3.0-py3-none-macosx_15_0_x86_64.whl | Python 3 | none | macOS 15.0+ x86-64 | Details |
| pennylane_qrack-1.3.0-py3-none-macosx_15_0_arm64.whl | Python 3 | none | macOS 15.0+ ARM64 | Details |
| pennylane_qrack-1.3.0-py3-none-macosx_14_0_arm64.whl | Python 3 | none | macOS 14.0+ ARM64 | Details |
Total release size: 6.7 MB
Release files / pennylane_qrack-1.3.0.tar.gz
| Download URL | pennylane_qrack-1.3.0.tar.gz |
|---|---|
| Size | 37.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a2f0acc1b2b6673bb3f03efd3ca072479962e375bcff6821a0c1a9768671dfa5
|
|
BLAKE2b-256 checksum How to use checksums |
0e4e628f387ff71cf12ae62104e6a40d8d3b44cd61d2560ccb0d688dc49641f5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.4
|
Release files / pennylane_qrack-1.3.0-py3-none-win_amd64.whl
| Download URL | pennylane_qrack-1.3.0-py3-none-win_amd64.whl |
|---|---|
| Size | 35.2 kB |
| Tags | Python 3 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
d5a87524ded46e6af9fb15267d4d58fe3fb0dcd4f752246a8a40888fecf32e8b
|
|
BLAKE2b-256 checksum How to use checksums |
8b418b8909c6e1ec9071119b7326cca9e37e7fffdbda3383fe5faecb672f8805
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.4
|
Release files / pennylane_qrack-1.3.0-py3-none-manylinux_2_39_x86_64.whl
| Download URL | pennylane_qrack-1.3.0-py3-none-manylinux_2_39_x86_64.whl |
|---|---|
| Size | 1.8 MB |
| Tags | Linux glibc 2.39+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
f3bf27fccdacd6bd78c7914bb9c2233e90fdd74e95e6089600830adcf7c784a5
|
|
BLAKE2b-256 checksum How to use checksums |
e7000a6efbdd64428af33d2ba063f9426ea4ec5ea0e0fb148bf83d6d4ab264a6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.4
|
Release files / pennylane_qrack-1.3.0-py3-none-manylinux_2_35_x86_64.whl
| Download URL | pennylane_qrack-1.3.0-py3-none-manylinux_2_35_x86_64.whl |
|---|---|
| Size | 1.8 MB |
| Tags | Linux glibc 2.35+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
ea4fa426ed48a75a76c4ae07f16d236a294a94a33019f4bb16134f8654b13dba
|
|
BLAKE2b-256 checksum How to use checksums |
ad8759ddc6734e83816784b673bfd4eb8dd7590397268ece0669f0934c6c91c8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.4
|
Release files / pennylane_qrack-1.3.0-py3-none-macosx_15_0_x86_64.whl
| Download URL | pennylane_qrack-1.3.0-py3-none-macosx_15_0_x86_64.whl |
|---|---|
| Size | 1.0 MB |
| Tags | Python 3 macOS 15.0+ x86-64 |
|
SHA-256 checksum How to use checksums |
c2ae15569f6e19cf3901e4a1dd54ffeefed6f1c7427cb5f3b365817f9eca10a9
|
|
BLAKE2b-256 checksum How to use checksums |
50089bc4dbb9cb40ec7c89a2130c866558d1d5523638ae019a8dd137e6f25304
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.4
|
Release files / pennylane_qrack-1.3.0-py3-none-macosx_15_0_arm64.whl
| Download URL | pennylane_qrack-1.3.0-py3-none-macosx_15_0_arm64.whl |
|---|---|
| Size | 969.1 kB |
| Tags | Python 3 macOS 15.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
40fb1d3f6e1471fe6fa194b119268e256e429e880eaa5a0a2c4897bf9112aacc
|
|
BLAKE2b-256 checksum How to use checksums |
d4033b1912bc6a5353a6ed36841284f72ad3526b248ddcfd8ea53a75aaffa671
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.4
|
Release files / pennylane_qrack-1.3.0-py3-none-macosx_14_0_arm64.whl
| Download URL | pennylane_qrack-1.3.0-py3-none-macosx_14_0_arm64.whl |
|---|---|
| Size | 975.7 kB |
| Tags | Python 3 macOS 14.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
982164b7661d98c3538bff239b0748e5931278215325a12bbad1314aa7edaae1
|
|
BLAKE2b-256 checksum How to use checksums |
e259c68801d0439effb804da0e2787a5f9c0fed5bf24d6a32bfd25bfbfe4239a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.4
|
Security for pennylane-qrack 1.3.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
