Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous-variable quantum optical circuits.
Features
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Execute photonic quantum algorithms directly on Xanadu's next-generation quantum hardware.
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High-level functions for solving practical problems including graph and network optimization, machine learning, and chemistry.
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Includes a suite of world-class simulators—based on cutting-edge algorithms—to compile and simulate photonic algorithms.
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Train and optimize your quantum programs with our end-to-end differentiable TensorFlow backend.
Installation
Strawberry Fields requires Python version 3.7, 3.8, 3.9, or 3.10. Installation of Strawberry Fields, as well as all dependencies, can be done using pip:
pip install strawberryfields
Getting started
To get started with writing your own Strawberry Fields code, begin with our photonic circuit quickstart guides, before exploring our many tutorials and applications.
Next, read more about using Strawberry Fields with photonic hardware, including code demonstrations and an overview of Xanadu's quantum photonic hardware.
Developers can head to the development guide to see how they can contribute to Strawberry Fields.
Contributing to Strawberry Fields
We welcome contributions — simply fork the Strawberry Fields repository, and then make a pull request containing your contribution. All contributors to Strawberry Fields 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 Strawberry Fields.
See our contributions page and changelog for more details, and then check out some of the Strawberry Fields challenges for some inspiration.
Authors
Strawberry Fields is the work of many contributors
If you are doing research using Strawberry Fields, please cite our papers:
Nathan Killoran, Josh Izaac, Nicolás Quesada, Ville Bergholm, Matthew Amy, and Christian Weedbrook. "Strawberry Fields: A Software Platform for Photonic Quantum Computing", Quantum, 3, 129 (2019).
Thomas R. Bromley, Juan Miguel Arrazola, Soran Jahangiri, Josh Izaac, Nicolás Quesada, Alain Delgado Gran, Maria Schuld, Jeremy Swinarton, Zeid Zabaneh, and Nathan Killoran. "Applications of Near-Term Photonic Quantum Computers: Software and Algorithms", Quantum Sci. Technol. 5 034010 (2020).
Support
- Source Code: https://github.com/XanaduAI/strawberryfields
- Issue Tracker: https://github.com/XanaduAI/strawberryfields/issues
If you are having issues, please let us know by posting the issue on our Github issue tracker.
We also have a Slack channel and a discussion forum — come join the discussion and chat with our Strawberry Fields team.
License
Strawberry Fields is free and open source, released under the Apache License, Version 2.0.
Release files for StrawberryFields 0.23.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| StrawberryFields-0.23.0.tar.gz | 4.9 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| StrawberryFields-0.23.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.8 MB
Release files / StrawberryFields-0.23.0.tar.gz
| Download URL | StrawberryFields-0.23.0.tar.gz |
|---|---|
| Size | 4.9 MB |
| Tags | Source |
|
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Release files / StrawberryFields-0.23.0-py3-none-any.whl
| Download URL | StrawberryFields-0.23.0-py3-none-any.whl |
|---|---|
| Size | 4.9 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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