Skip to main content

The PennyLane-QuantumInspire plugin integrates the Quantum Inspire quantum computing backends with PennyLane's quantum machine learning capabilities.

Project description

PennyLane-QuantumInspire Plugin

License

PennyLane is an open-source SDK for quantum programming. This project contains a provider that allows access to Quantum Inspire quantum systems.

Getting started

All information needed to get started using this plugin can be found in our documentation. Some particularly useful links:

  1. Installation and login
  2. Submitting your first circuit
  3. Example notebooks

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

pennylane_quantuminspire-0.9.0.tar.gz (7.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pennylane_quantuminspire-0.9.0-py3-none-any.whl (7.9 kB view details)

Uploaded Python 3

File details

Details for the file pennylane_quantuminspire-0.9.0.tar.gz.

File metadata

  • Download URL: pennylane_quantuminspire-0.9.0.tar.gz
  • Upload date:
  • Size: 7.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for pennylane_quantuminspire-0.9.0.tar.gz
Algorithm Hash digest
SHA256 9051b0f69eecc17f014a5e52661ed4443725e7d18153457637779f50feda110b
MD5 aa4056cd4ef4ce3b7715ac3975fc9ff6
BLAKE2b-256 63729893826b96cfb4e3fdbc8074cef1958d3491e4c332245cf02e8829ef63fe

See more details on using hashes here.

Provenance

The following attestation bundles were made for pennylane_quantuminspire-0.9.0.tar.gz:

Publisher: release.yaml on QuTech-Delft/pennylane-quantuminspire

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file pennylane_quantuminspire-0.9.0-py3-none-any.whl.

File metadata

File hashes

Hashes for pennylane_quantuminspire-0.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 87088a729b1fa5284946cb47382a7ce9f3667e23489177089238833aa35d1258
MD5 d76ad9637d3ca96013bd51aea25d8523
BLAKE2b-256 1deb86a5abd739afd3571414adb2a72442faa8d286bb3d3dede3f3e49302671a

See more details on using hashes here.

Provenance

The following attestation bundles were made for pennylane_quantuminspire-0.9.0-py3-none-any.whl:

Publisher: release.yaml on QuTech-Delft/pennylane-quantuminspire

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

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