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

6.14

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-6.14.tar.gz (4.7 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-6.14-py3-none-any.whl (69.5 kB view details)

Uploaded Python 3

File details

Details for the file iqm_pulla-6.14.tar.gz.

File metadata

  • Download URL: iqm_pulla-6.14.tar.gz
  • Upload date:
  • Size: 4.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.9

File hashes

Hashes for iqm_pulla-6.14.tar.gz
Algorithm Hash digest
SHA256 02cd95fada4a6d11b425e8aca35fb8af046cd223ce3ba7b6515cc4506fdeb207
MD5 e001f5f148e2a10326eff681cd4d627d
BLAKE2b-256 eb40d97ec5b087fed8982d27f4f9b707ff7db2fea9975f37d6f0c94bc632ae64

See more details on using hashes here.

File details

Details for the file iqm_pulla-6.14-py3-none-any.whl.

File metadata

  • Download URL: iqm_pulla-6.14-py3-none-any.whl
  • Upload date:
  • Size: 69.5 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-6.14-py3-none-any.whl
Algorithm Hash digest
SHA256 fdded5a7d1a62a9ce21457c840a28728ff2d8fd1c57c93fc6b3c63605cd9b692
MD5 b88f9029c9c6ebf6cf452eeba1d4c6b9
BLAKE2b-256 b6744eb64c9c69930e1a0cf5d0e9b14c0f8fc3b8fe59eaae3e4be5fece70475a

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