Skip to main content

Client library for pulse-level access to an IQM quantum computer

Project description

Pulla (pulse-level access) is a client-side software which allows the user to control the generation and execution of pulse schedules on a quantum computer. Within the existing IQM QCCSW stack, Pulla is somewhere between circuit-level execution and EXA-experiment.

An interactive user guide is available as a Jupyter notebook in the docs folder.

Use

Create a virtual environment and install dependencies:

conda create -y -n pulla python=3.11 pip=23.0
conda activate pulla
pip install iqm-pulla[notebook, qiskit, qir]

The [qiskit] option is to enable Qiskit-related features and utilities, like converting Qiskit circuits to Pulla circuits, constructing a compatible compiler instance, or constructing a PullaBackend for running Qiskit jobs.

The [qir] option is to enable QIR support, e.g. the qir_to_pulla function.

The [notebook] option is to be able to run the example notebooks, using and run it in Jupyter Notebook:

jupyter-notebook

Development

Install development and testing dependencies:

pip install -e ".[dev,notebook,qiskit,qir,testing,docs]"

e2e testing is execution of all user guides (Jupyter notebooks). User guides cover the majority of user-level features, so we achieve two things: end-to-end-test Pulla as a client library, and make sure the user guides are correct. (Server-side use of Pulla is e2e-tested as part of CoCoS.)

You have to provide CoCoS and Station Control URLs as environment variables:

COCOS_URL=<COCOS_URL> STATION_CONTROL_URL=<SC_URL> tox -e e2e

Notebooks are executed using jupyter execute command. It does not print any output if there are no errors. If you want to run a particular notebook and see the output cells printed in the terminal, you can use nbconvert with jq (https://jqlang.github.io/jq/download/) like so:

jupyter nbconvert --to notebook --execute  docs/Quick\ Start.ipynb --stdout | jq -r '.cells[] | select(.outputs) | .outputs[] | select(.output_type == "stream") | .text[]'

Run unit tests, build docs, build package:

tox
tox -e docs
tox -e build

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

iqm_pulla-11.6.0.tar.gz (11.3 MB view details)

Uploaded Source

Built Distribution

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

iqm_pulla-11.6.0-py3-none-any.whl (71.1 kB view details)

Uploaded Python 3

File details

Details for the file iqm_pulla-11.6.0.tar.gz.

File metadata

  • Download URL: iqm_pulla-11.6.0.tar.gz
  • Upload date:
  • Size: 11.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.13

File hashes

Hashes for iqm_pulla-11.6.0.tar.gz
Algorithm Hash digest
SHA256 d856a623c6a257ec3b9d956d0e6ab1d66bde3cbf89a0c7faf07e6801ff6baf1d
MD5 8d2b097d38c43354c57f0914d7c98e42
BLAKE2b-256 051c33d2326d4d2eb2174c0b8515aa5249f62319f3eb29ce82d9631e76a94b77

See more details on using hashes here.

File details

Details for the file iqm_pulla-11.6.0-py3-none-any.whl.

File metadata

  • Download URL: iqm_pulla-11.6.0-py3-none-any.whl
  • Upload date:
  • Size: 71.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.13

File hashes

Hashes for iqm_pulla-11.6.0-py3-none-any.whl
Algorithm Hash digest
SHA256 e43d424d92598a0497c79711b279d013672908f33ce2de1eed3d86eea74f4e46
MD5 7fafb51374f9d6b0adf2eec35e5045c8
BLAKE2b-256 b3df0d6584756a3a316fb0a18ec6160d611119910e2995be8a74920918686c6e

See more details on using hashes here.

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