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-0.14.1.tar.gz (7.4 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-0.14.1-py3-none-any.whl (7.9 kB view details)

Uploaded Python 3

File details

Details for the file pennylane_quantuminspire-0.14.1.tar.gz.

File metadata

File hashes

Hashes for pennylane_quantuminspire-0.14.1.tar.gz
Algorithm Hash digest
SHA256 211998f82283577b0ea289f72abc311042bf03137c486015aa1bb2bcf579f968
MD5 d0049443bc0f192876cdc1dc3fbf6a58
BLAKE2b-256 7539255a286647a9cde1b972b9ebc787a6196c5b77e4a62379b2ce6a823bff36

See more details on using hashes here.

Provenance

The following attestation bundles were made for pennylane_quantuminspire-0.14.1.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-0.14.1-py3-none-any.whl.

File metadata

File hashes

Hashes for pennylane_quantuminspire-0.14.1-py3-none-any.whl
Algorithm Hash digest
SHA256 deb8edff81143bd2aa69ce71c9ac2fc5e61620816538c2a018a917cab189d557
MD5 974c8eeedfed8f89dbd57d7ede2a5f91
BLAKE2b-256 b24a3f71924415c91dfc2f543ab37801fa3705fcfbd4558c0774fe391e26fa88

See more details on using hashes here.

Provenance

The following attestation bundles were made for pennylane_quantuminspire-0.14.1-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