cirq-pasqal
A Cirq package to simulate and connect to Pasqal quantum computers
What it is and what it does
Cirq-Pasqal is an integration layer that connects Cirq, Google's quantum circuit framework, to Pasqal's neutral-atom quantum computers. It extends Cirq with Pasqal-specific simulators and device interfaces, allowing developers to write quantum algorithms in Cirq's high-level abstractions and execute them on Pasqal hardware or simulators. The package is built on top of cirq-core and requests, providing a bridge between algorithm design and actual quantum execution on NISQ devices.
The module is designed for researchers and developers working with noisy intermediate-scale quantum computers, where hardware-specific details matter for achieving good results. It handles the translation between Cirq's circuit model and Pasqal's execution model, abstracting away low-level device communication while preserving access to hardware-specific features when needed.
Use it for:
- Run Cirq quantum circuits on Pasqal neutral-atom quantum computers for algorithm validation and research.
- Simulate quantum algorithms locally using Pasqal-compatible simulators before deploying to actual hardware.
- Develop and test NISQ algorithms that leverage Pasqal's specific qubit topology and gate set.
- Integrate Pasqal quantum execution into larger Cirq-based quantum application workflows.
- Explore quantum computing without access to other quantum hardware platforms through simulation.
Worth the install?
AI-flagged interpretation of the facts on this page — verify before relying
Cirq-Pasqal is a Cirq integration module that allows quantum algorithms written in Cirq to run on Pasqal quantum computers, bridging the gap between Cirq's circuit abstractions and Pasqal hardware.
Yes, if you are developing quantum algorithms in Cirq and have access to or interest in Pasqal quantum computers. The package is actively maintained, has no known vulnerabilities, installs with minimal friction, and is licensed permissively. It is production-stable (Development Status 5) and supports current Python versions. Install only if you actually need Pasqal integration; it is a specialized tool for a specific quantum hardware platform.
Install
cirq-pasqal on PyPI
pip
pip install cirq-pasqaluv
uv add cirq-pasqalpoetry
poetry add cirq-pasqalInstalling cirq-pasqal
Before you install
Low friction: pure Python wheel with only two runtime dependencies (requests and cirq-core). Actively maintained with a recent release; repository shows 5046 stars and current commit activity.
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most development and research contexts.
Quickstart
pip install cirq-pasqal
import cirq
from cirq_pasqal import PasqalSimulator
q = cirq.LineQubit(0)
circuit = cirq.Circuit(cirq.H(q), cirq.measure(q, key='m'))
simulator = PasqalSimulator()
result = simulator.simulate(circuit)
Requires Python 3.11 or later; actual Pasqal device access requires separate authentication setup as documented in the Cirq-Pasqal access guide.
Verify before relying
- Whether Pasqal device access requires separate authentication credentials or account setup beyond what the package provides.
- Performance characteristics or limitations when running circuits on actual Pasqal hardware versus simulation.
- Specific quantum circuit size or complexity constraints imposed by Pasqal devices.
Package facts
| License | Apache-2.0 (permissive) |
| Python support | supports the current Python release (>=3.11.0) |
| Install friction | low — pure-Python wheel |
| Runtime dependencies | 2 — requests, cirq-core |
| Maintenance | actively maintained — 46 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 133,409/month — #11,515 on PyPI (30-day window, as of 2026-08-14) |
| Known vulnerabilities | none known (OSV.dev, checked 2026-08-14) |
Evidence: cirq_pasqal-1.7.0-py3-none-any.whl
Keywords: algorithms, api, cirq, google, google quantum, nisq, python, quantum, quantum algorithms, quantum circuit, quantum circuit simulator, quantum computer simulator, quantum computing, quantum development kit, quantum information, quantum programming, quantum programming language, quantum simulation, sdk, simulation
Tags
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