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-7.22.0.tar.gz (11.8 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-7.22.0-py3-none-any.whl (69.8 kB view details)

Uploaded Python 3

File details

Details for the file iqm_pulla-7.22.0.tar.gz.

File metadata

  • Download URL: iqm_pulla-7.22.0.tar.gz
  • Upload date:
  • Size: 11.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.9

File hashes

Hashes for iqm_pulla-7.22.0.tar.gz
Algorithm Hash digest
SHA256 ef8396ec0328b7040ad8539f9cea8821769dcb90d2b2c44c182aab6872c52741
MD5 e65c918e8c083a48c9e840b33e96dfc5
BLAKE2b-256 83cedd5e609ea06350e20a3207151f010b44e2d7a66a9e9fdf2a3d86479f0b8e

See more details on using hashes here.

File details

Details for the file iqm_pulla-7.22.0-py3-none-any.whl.

File metadata

  • Download URL: iqm_pulla-7.22.0-py3-none-any.whl
  • Upload date:
  • Size: 69.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.9

File hashes

Hashes for iqm_pulla-7.22.0-py3-none-any.whl
Algorithm Hash digest
SHA256 b3e5dc359b6a567af530beae5a8aec8d0fa32144f14fb0ed21a21c5a3b0aa83e
MD5 c30d991065df5cfb5d3c53055056744b
BLAKE2b-256 feb74b7c8bbe50b933e69f1493eff4af0ded7aeeee9b0814ad1124165d738e4f

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