Skip to main content

High-Performance Quantum Walk Simulator

Project description


Hiperwalk


PyPI Downloads Stack Overflow Quantum Week Paper Contribute

Hiperwalk, an acronym for High-Performance Quantum Walk Simulator, is a powerful, open-source software designed to simulate quantum walks on various graph structures. Leveraging heterogeneous High-Performance Computing (HPC),

Install

Hiperwalk is available with HPC support or not.

No HPC Support

Install the lastest version of Hiperwalk from PyPi

pip install hiperwalk

HPC Support

HPC support is available via Docker or local installation. The latter requires hiperblas-core and pyhiperblas for HPC on CPU, with optional GPU support provided by hiperblas-opencl-bridge. For more details, access https://hiperwalk.org/docs/stable/install/.

Call for Contributions

Small improvements or fixes are always appreciated. If you are considering larger contributions to the source code, or if you are unsure where to start or how your skills fit in, please contact us through hiperwalk@gmail.com.

There are multiple ways to contribute to Hiperwalk. For instance, you can:

  • contribute to HiperBLAS
  • help us stay on top of new and old issues
  • develop tutorials, presentations, and other educational materials
  • maintain and improve our website
  • develop graphic design for our brand assets and promotional materials
  • translate website content
  • help with outreach and onboard new contributors

If you are new to contributing to open source, this guide helps explain why, what, and how to successfully get involved.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hiperwalk-2.0b13.tar.gz (15.5 MB view details)

Uploaded Source

Built Distribution

hiperwalk-2.0b13-py3-none-any.whl (68.3 kB view details)

Uploaded Python 3

File details

Details for the file hiperwalk-2.0b13.tar.gz.

File metadata

  • Download URL: hiperwalk-2.0b13.tar.gz
  • Upload date:
  • Size: 15.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.12

File hashes

Hashes for hiperwalk-2.0b13.tar.gz
Algorithm Hash digest
SHA256 16cd7d3baa8713fc3431132d6dc308de9275dae68a2e38b22960a42e88a051fb
MD5 12ee9694af1e77bcf24e0c2336b36c1d
BLAKE2b-256 561fbaeedaceb3e8c00aa7efcb1de01862836428ba8a4af4b1a0fbdbed8f3dd9

See more details on using hashes here.

File details

Details for the file hiperwalk-2.0b13-py3-none-any.whl.

File metadata

  • Download URL: hiperwalk-2.0b13-py3-none-any.whl
  • Upload date:
  • Size: 68.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.12

File hashes

Hashes for hiperwalk-2.0b13-py3-none-any.whl
Algorithm Hash digest
SHA256 207dabbceac823fb3c70650cfc7513096047df94632a8a4d38627a5abe5b8a50
MD5 3b45baff0016f52f29f0d454a43e78d1
BLAKE2b-256 7c38d434ae511e1f22a85b60b6b0b664b0a30e01091c8c4d9cab9bb415b313bf

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page