{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/18"},{"label":"Quantum Computing","url":"https://skillfed.io/packages/category/scientific-engineering-quantum-computing"}],"enrichment":{"capability":"Cirq-AQT provides a Cirq integration that lets you submit quantum circuits to Alpine Quantum Technologies' quantum computers through a Python interface.","skillfed_tags":["quantum-computing","cirq-plugin","hardware-integration"],"use_cases":["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."],"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.\n\nThe 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.","worth_installing":"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."},"id":"cirq-aqt","links":{"html":"https://skillfed.io/packages/cirq-aqt","md":"https://skillfed.io/packages/cirq-aqt.md","pypi":"https://pypi.org/project/cirq-aqt/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-29","license_spdx":null,"license_treatment":"permissive","name":"cirq-aqt","python_support":"supports_current","summary":"A Cirq package to simulate and connect to Alpine Quantum Technologies quantum computers"},"popularity":{"monthly_downloads":138723,"position":11321,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.7.0"}