Skip to main content

Release Platform Python Qiskit
Docs (stable)

License Downloads Tests Coverage

Qiskit addon: operator backpropagation (OBP)

Table of contents


About

Qiskit addons are a collection of modular tools for building utility-scale workloads powered by Qiskit.

This package contains the Qiskit addon for operator backpropagation (OBP). Experimental errors limit the depth of quantum circuits that can be executed on near-term devices. OBP is a technique to reduce circuit depth by trimming operations from its end at the cost of more operator measurements.

As one backpropagates an operator further through a circuit, the size of the observable will grow exponentially, which results in both a classical and quantum resource overhead. However, for some circuits, the resulting distribution of Pauli observables is more concentrated than the worst-case exponential scaling, meaning that some terms in the Hamiltonian with small coefficients can be truncated to reduce the quantum overhead. The error incurred by doing this can be controlled to find a suitable tradeoff between precision and efficiency.

There are a number of ways in which operator backpropagation can be performed, this package uses a method based on Clifford perturbation theory, which has the benefit that the overhead incurred by backpropagating various gates is determined by the non-Cliffordness of that gate. This leads to an increased efficiency for some families of circuits relative to tensor-network based methods for OBP, which currently have high classical overheads even in cases where the quantum overhead remains tame.


Documentation

All documentation is available at https://qiskit.github.io/qiskit-addon-obp/.


Installation

We encourage installing this package via pip, when possible:

pip install 'qiskit-addon-obp'

For more installation information refer to these installation instructions.


Deprecation Policy

We follow semantic versioning and are guided by the principles in Qiskit's deprecation policy. We may occasionally make breaking changes in order to improve the user experience. When possible, we will keep old interfaces and mark them as deprecated, as long as they can co-exist with the new ones. Each substantial improvement, breaking change, or deprecation will be documented in the release notes.


Contributing

The source code is available on GitHub.

The developer guide is located at CONTRIBUTING.md in the root of this project's repository. By participating, you are expected to uphold Qiskit's code of conduct.

We use GitHub issues for tracking requests and bugs.


References

  1. B. Fuller et al. Improved Quantum Computation using Operator Backpropagation, arXiv:2502.01897 [quant-ph].

License

Apache License 2.0

Release files for qiskit-addon-obp 0.3.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for qiskit-addon-obp 0.3.0
File Size Uploaded
qiskit_addon_obp-0.3.0.tar.gz 1.6 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for qiskit-addon-obp 0.3.0
File Interpreter ABI Platform
qiskit_addon_obp-0.3.0-py3-none-any.whl Python 3 none any Details

Total release size: 1.6 MB

Release files / qiskit_addon_obp-0.3.0.tar.gz

Download URL qiskit_addon_obp-0.3.0.tar.gz
Size 1.6 MB
Tags Source
SHA-256 checksum
How to use checksums
33362fb4573469d6337fba12d0b583b34427159242b3d281fbc26a471af74f00
BLAKE2b-256 checksum
How to use checksums
54079f4f7b3ddadbb07ca95ddae78c323250a4e58f003a034c127568c4a09041
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.12.9

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on May 22, 2025.

Transparency log

Release files / qiskit_addon_obp-0.3.0-py3-none-any.whl

Download URL qiskit_addon_obp-0.3.0-py3-none-any.whl
Size 30.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
f8315775c634781cbd37a90330a08085790c7a5aa69e466384963531017f01bf
BLAKE2b-256 checksum
How to use checksums
c59ebf849543ee92ea4e869abb1dbb7535b90adfba4ce325e4a2a6384887923e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.12.9

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on May 22, 2025.

Transparency log

Release history Release notifications | RSS feed

This release

0.3.0 This release

2 release files

0.2.0

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page