IQM Pulla
Pulla (pulse-level access) is a client-side Python library which enables the generation and execution of pulse-level jobs on an IQM quantum computer. Within the existing IQM QCCSW stack, Pulla is somewhere between circuit-level execution and EXA experiments.
An interactive user guide is available as a Jupyter notebook in the docs
folder.
Testing
If you want to run a particular notebook and see the output cells printed in
the terminal, you can use nbconvert with jq
like so:
jupyter nbconvert --to notebook --execute "docs/Quick Start.ipynb" --stdout |
jq -r '.cells[] | select(.outputs) | .outputs[] | select(.output_type == "stream") | .text[]'
Installation
Note: uv is highly recommended for practical Python environment and package management. The supported Python versions are
=3.11, <3.15.
uv pip install iqm-pulla
Optional extras
The following optional extras are available:
notebook: Jupyter notebook support for running example notebooksqir: QIR (Quantum Intermediate Representation) supportqiskit: Qiskit-related features and utilities
All extras are inter-compatible and each adds more dependencies on top of the base install. To install all of them:
uv pip install "iqm-pulla[notebook,qir,qiskit]"
Reproducible installations
For reproducible installations, pinned dependency extras are available:
pin-iqm: pins inter-IQM package dependencies to exact co-released versions.pin-all: likepin-iqm, but additionally pins all transitive third-party dependencies.
These can be combined with other extras. The following combined extras are available:
notebook-pin-iqmqir-pin-iqmqiskit-pin-iqmnotebook-pin-allqir-pin-allqiskit-pin-all
For example:
uv pip install "iqm-pulla[notebook-pin-all]"
All extras are inter-compatible, so you can combine multiple extras with pinning as needed.
Note: This package was tested at release time for clean installation with
uv 0.11.20andpip 25.1.1. Other versions are likely to work but are not verified per release.
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