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

This version

7.13

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-7.13.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-7.13-py3-none-any.whl (69.6 kB view details)

Uploaded Python 3

File details

Details for the file iqm_pulla-7.13.tar.gz.

File metadata

  • Download URL: iqm_pulla-7.13.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-7.13.tar.gz
Algorithm Hash digest
SHA256 06c4b3421334e404df9b0ea41b0e6fbe257ef6505976e37ef167b6d1705f8e25
MD5 e5d5c5284a0f6e4fdbfa145f39b7eddc
BLAKE2b-256 35cc5c24cc8178bb879139e403963615b8b063fd1b7a376b8c9c04ffb438b52d

See more details on using hashes here.

File details

Details for the file iqm_pulla-7.13-py3-none-any.whl.

File metadata

  • Download URL: iqm_pulla-7.13-py3-none-any.whl
  • Upload date:
  • Size: 69.6 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-7.13-py3-none-any.whl
Algorithm Hash digest
SHA256 855e8160d131b96712469fef57cea7c8ab015580f039265e54813ba358d326b1
MD5 b638adba7b41230fe2b2a8e306c10485
BLAKE2b-256 38300985ac7f911ebe4a52eed3790bf9eedd7387bd12bd98dac801f99a290380

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