#quantum-computing #iqm

qoqo-iqm

IQM backend for qoqo quantum computing toolkit

12 releases (4 breaking)

0.10.2 Oct 10, 2024
0.10.0 Jun 27, 2024
0.7.1 Mar 26, 2024
0.6.5 Aug 1, 2023
0.6.4 May 31, 2023

#1005 in Science

Download history 1/week @ 2024-07-05 27/week @ 2024-07-19 3/week @ 2024-07-26 3/week @ 2024-08-23 93/week @ 2024-08-30 3/week @ 2024-09-06 15/week @ 2024-09-13 24/week @ 2024-09-20 6/week @ 2024-09-27 273/week @ 2024-10-04 128/week @ 2024-10-11 5/week @ 2024-10-18

414 downloads per month
Used in qoqo_for_braket_devices

Apache-2.0

83KB
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qoqo logo

qoqo-iqm

IQM-backend for the qoqo/roqoqo quantum toolkit by HQS Quantum Simulations.

The qoqo_iqm/roqoqo-iqm packages provide backends for qoqo/roqoqo that allow the users to run quantum circuits on the IQM web API testbed. The testbed is accessed via a web REST-API. To run circuits or QuantumPrograms with this backend you need a valid access token. The access token can be set via the environment variable IQM_TOKEN.

This repository contains two components:

  • The qoqo_iqm backend for the qoqo python interface to roqoqo
  • The roqoqo-iqm backend for roqoqo directly

qoqo_iqm

Documentation Status GitHub Workflow Status PyPI PyPI - Format

Installation

We provide pre-built binaries for linux, macos and windows on x86_64 hardware and macos on arm64. Simply install the pre-built wheels with

pip install qoqo_iqm

roqoqo-iqm

Crates.io GitHub Workflow Status docs.rs Crates.io

IQM-Backend for the roqoqo quantum toolkit by HQS Quantum Simulations.

Contributing

We welcome contributions to the project. If you want to contribute code, please have a look at CONTRIBUTE.md for our code contribution guidelines.

OpenSSL

Acknowledgments related to using OpenSSL for http requests:

"This product includes software developed by the OpenSSL Project for use in the OpenSSL Toolkit (http://www.openssl.org/)."

This product includes cryptographic software written by Eric Young (eay@cryptsoft.com). This product includes software written by Tim Hudson (tjh@cryptsoft.com).

General Notes

This project has been partially supported by QExa.

Dependencies

~19–33MB
~565K SLoC