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bgls

Implementation of the gate-by-gate sampling algorithm.

https://github.com/asciineuron/bgls

Science Score: 67.0%

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    Found 2 DOI reference(s) in README
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    Links to: arxiv.org, acm.org, aps.org
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    Low similarity (10.5%) to scientific vocabulary
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Repository

Implementation of the gate-by-gate sampling algorithm.

Basic Info
  • Host: GitHub
  • Owner: asciineuron
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 19.2 MB
Statistics
  • Stars: 6
  • Watchers: 2
  • Forks: 1
  • Open Issues: 7
  • Releases: 1
Created over 3 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.md

BGLS

build arXiv doctest pages-build-deployment Documentation Repository Unitary Fund

BGLS is a Python package that implements the Bravyi, Gosset, and Liu Sampling algorithm presented in How to simulate quantum measurement without computing marginals (Phys. Rev. Lett.) (arXiv) for Cirq circuits.

Quickstart

Installation

bash pip install bgls

Example

```python import cirq import bgls

Example circuit to run.

qubits = cirq.LineQubit.range(2) circuit = cirq.Circuit( cirq.H.on(qubits[0]), cirq.CNOT.on(qubits), cirq.measure(qubits, key="z") )

Run the circuit with BGLS.

simulator = bgls.Simulator( initialstate=cirq.StateVectorSimulationState(qubits=qubits, initialstate=0), applyop=cirq.protocols.acton, computeprobability=bgls.born.computeprobabilitystatevector, ) results = simulator.run(circuit, repetitions=10) print(results.histogram(key="z")) ```

Sample output:

text Counter({0: 6, 3: 4})

Documentation

See more details and examples in the Documentation for BGLS.

Citing BGLS

If you use BGLS in your research, please reference the BGLS whitepaper using the bibtex entry found in CITATION.bib.

Owner

  • Name: Alex Shapiro
  • Login: asciineuron
  • Kind: user

Citation (CITATION.bib) 

@article{bgls,
  title     = {BGLS: A Python Package for the Gate-by-Gate Sampling Algorithm to Simulate Quantum Circuits},
  author    = {Alex Shapiro and Ryan LaRose},
  journal   = {ACM Digital Library},
  year      = {2023},
  month     = {Nov},
  doi       = {10.1145/3624062.3624215},
  url       = {https://doi.org/10.1145/3624062.3624215},
  publisher = {SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis},
  volume    = {Nov 2023},
  pages     = {1436-1442},
}

GitHub Events

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Last Year

Issues and Pull Requests

Last synced: over 1 year ago

All Time
  • Total issues: 14
  • Total pull requests: 39
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 9 days
  • Total issue authors: 2
  • Total pull request authors: 3
  • Average comments per issue: 1.21
  • Average comments per pull request: 1.1
  • Merged pull requests: 37
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 7
  • Pull requests: 21
  • Average time to close issues: 4 days
  • Average time to close pull requests: 1 day
  • Issue authors: 2
  • Pull request authors: 3
  • Average comments per issue: 1.43
  • Average comments per pull request: 1.05
  • Merged pull requests: 19
  • Bot issues: 0
  • Bot pull requests: 0
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Top Authors
Issue Authors
  • rmlarose (13)
  • asciineuron (1)
Pull Request Authors
  • rmlarose (26)
  • asciineuron (11)
  • chiragbhansali (2)
Top Labels
Issue Labels
bug (3)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 20 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 2
  • Total maintainers: 2
pypi.org: bgls

Implementation of the gate-by-gate sampling algorithm.

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 20 Last month
Rankings
Dependent packages count: 6.6%
Average: 18.6%
Dependent repos count: 30.6%
Maintainers (2)
rmlarose asciineuron
Last synced: 8 months ago