cirq-aqt

What it is and what it does

Cirq-AQT is a Cirq integration module that bridges quantum algorithm development in Python to Alpine Quantum Technologies' quantum hardware. It builds on top of Cirq, which is a framework for writing and manipulating quantum circuits designed for NISQ (noisy intermediate-scale quantum) computers. The module provides an interface to authenticate with and submit quantum circuits to AQT devices, allowing researchers and developers to run quantum algorithms on real quantum hardware rather than just simulators.

The package depends on cirq-core for quantum circuit abstractions and requests for HTTP communication with AQT services. It is actively maintained, supports modern Python versions (3.11 through 3.14), and installs with low friction as a pure-Python wheel. The project is part of the broader Cirq ecosystem maintained by Google's quantum team.

Use it for:

• Running quantum algorithms on AQT quantum computers for research or production quantum computing tasks.
• Prototyping NISQ algorithms in Cirq and testing them on real quantum hardware without managing low-level device details.
• Integrating AQT quantum backends into larger quantum computing workflows or applications.
• Benchmarking quantum circuits on AQT devices to evaluate performance and noise characteristics.
• Educational projects exploring quantum computing with access to real quantum hardware via AQT.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Cirq-AQT provides a Cirq integration that lets you submit quantum circuits to Alpine Quantum Technologies' quantum computers through a Python interface.

Yes, if you have access to AQT quantum devices and want to run Cirq quantum circuits on them. The package is actively maintained, has no known vulnerabilities, installs easily, and is licensed permissively. If you need quantum circuit development without AQT hardware access, plain Cirq alone may be sufficient; verify that AQT device access and authentication are available before installing.

Install

cirq-aqt on PyPI

pip install cirq-aqt

uv add cirq-aqt

poetry add cirq-aqt

Installing cirq-aqt

Before you install

Low install friction with a pure-Python wheel. The package is actively maintained with a recent release (46 days old) and depends only on requests and cirq-core, both stable libraries. Supports current Python versions (3.11–3.14).

License in practice

Apache-2.0 is a permissive license; you can use this package in commercial and private projects with minimal restrictions, provided you include a copy of the license and note any modifications.

Quickstart

pip install cirq-aqt

import cirq
import cirq_aqt

# Create a simple circuit
q = cirq.LineQubit(0)
circuit = cirq.Circuit(cirq.H(q), cirq.measure(q, key='m'))

# Submit to AQT device (requires authentication token)
service = cirq_aqt.AQTServiceProvider()
result = service.run(circuit)

Requires valid AQT authentication credentials and access to an AQT quantum device; see the package documentation for access and authentication setup.

Verify before relying

• Whether the package supports offline circuit simulation or requires live device access for all operations.
• Specific performance characteristics or latency expectations when submitting circuits to AQT devices.
• Whether additional system dependencies (beyond Python) are required for the requests library on all platforms.

Package facts

Evidence: cirq_aqt-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

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