The PennyLane-Qiskit plugin integrates the Qiskit quantum computing framework with PennyLane’s quantum machine learning capabilities.
PennyLane is a cross-platform Python library for quantum machine learning, automatic differentiation, and optimization of hybrid quantum-classical computations.
Qiskit is an open-source framework for quantum computing.
Features
Provides three devices to be used with PennyLane: qiskit.aer, qiskit.basicaer and qiskit.ibmq. These devices provide access to the various backends, including the IBM hardware accessible through the cloud.
Supports a wide range of PennyLane operations and expectation values across the providers.
Combine Qiskit’s high performance simulator and hardware backend support with PennyLane’s automatic differentiation and optimization.
Installation
This plugin requires Python version 3.5 and above, as well as PennyLane and Qiskit. Installation of this plugin, as well as all dependencies, can be done using pip:
pip install pennylane-qiskitTo test that the PennyLane-Qiskit plugin is working correctly you can run
$ make testin the source folder. Tests restricted to a specific provider can be run by executing make test-basicaer, make test-aer, and make test-ibmq.
Please refer to the plugin documentation as well as to the PennyLane documentation for further reference.
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/XanaduAI/pennylane-qiskit
Issue Tracker: https://github.com/XanaduAI/pennylane-qiskit/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 qiskit plugin is free and open source, released under the Apache License, Version 2.0.
3 maintainers
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file PennyLane-qiskit-0.9.0.tar.gz.
File metadata
- Download URL: PennyLane-qiskit-0.9.0.tar.gz
- Upload date:
- Size: 12.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.1.1.post20200323 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2e179d16c02f6ddf8ddced5065ab7faf165b1c730ff0ed5c58b091b22ab6edbd
|
|
| MD5 |
e9a9059fd91565a72b022c109e12045d
|
|
| BLAKE2b-256 |
1c29a159d23c2c645bae7a194e8206a3a27e88a0667509717383ae1b9035c6ab
|
File details
Details for the file PennyLane_qiskit-0.9.0-py3-none-any.whl.
File metadata
- Download URL: PennyLane_qiskit-0.9.0-py3-none-any.whl
- Upload date:
- Size: 20.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/46.1.1.post20200323 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.7.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9bc159aa36c3302792f5a5eb4ce6bb47e3fa1c6e804e6050f6826b07fdc57e4d
|
|
| MD5 |
bae93f47a7f941c3f6be602767ce8580
|
|
| BLAKE2b-256 |
de2d4ce6213b96a9af4221d2329a2929878ec4313d84837c6f4a2350dc732aa2
|
