strawberryfields | Strawberry Fields is a full-stack Python library

by XanaduAI Python Version: v0.23.0-post1 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | strawberryfields Summary

strawberryfields is a Python library typically used in Quantum Computing, Tensorflow applications. strawberryfields has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous-variable quantum optical circuits.

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Quality

Security

License

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Support

strawberryfields has a low active ecosystem.

It has 697 star(s) with 177 fork(s). There are 33 watchers for this library.

It had no major release in the last 12 months.

There are 19 open issues and 116 have been closed. On average issues are closed in 322 days. There are 11 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of strawberryfields is v0.23.0-post1

Quality

strawberryfields has 0 bugs and 0 code smells.

Security

strawberryfields has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

strawberryfields code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

strawberryfields is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

strawberryfields releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed strawberryfields and discovered the below as its top functions. This is intended to give you an instant insight into strawberryfields implemented functionality, and help decide if they suit your requirements.

Measure the state of the fock .
Extract a channel .
Prepare a GKP for a given state .
Compile the circuit .
Resize a subgraph .
Compute n - mode gate .
Run a TDM program .
Generate code for a TDM program .
Blochasticmessages
Reads a gamma file

Get all kandi verified functions for this library.

strawberryfields Key Features

No Key Features are available at this moment for strawberryfields.

strawberryfields Examples and Code Snippets

No Code Snippets are available at this moment for strawberryfields.

Community Discussions

Trending Discussions on strawberryfields

Expected object of device type cuda but got device type cpu for argument #2 'mat2' in call to _th_mm

QUESTION

Expected object of device type cuda but got device type cpu for argument #2 'mat2' in call to _th_mm

Asked 2020-Jul-14 at 07:46

I recently have access to a GPU and have tried to run my code but there is an error. I've read about adding .cuda() to the layers could help but I have ran similar code without the "qml" part and it worked just fine without changing the layer (with cuda I mean). For the sake of brevity, I only added the class for the neural network and the entire loop of the code. The missing part of the code is for other aspects. But if there is a need for the rest of the code, I would be happy to include everything.

Code:

...

ANSWER

Answered 2020-Jul-14 at 07:46

The solution is that the python package "pennylane" doesn't yet have the resources built out to work on GPUs. Since Pennylane is a relatively new package, this is something they plan to build out in the future.

Source https://stackoverflow.com/questions/62780158

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install strawberryfields

Strawberry Fields requires Python version 3.7, 3.8, or 3.9. Installation of Strawberry Fields, as well as all dependencies, can be done using pip:.
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.

Support

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.

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