{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/17"},{"label":"Quantum Computing","url":"https://skillfed.io/packages/category/scientific-engineering-quantum-computing"}],"enrichment":{"capability":"Integrates Cirq quantum circuits with IonQ quantum computers, enabling you to write quantum algorithms in Cirq and execute them on IonQ hardware.","skillfed_tags":["quantum-computing","hardware-integration"],"use_cases":["Run Cirq-written quantum algorithms on real IonQ quantum hardware instead of local simulators.","Prototype quantum applications that require trapped-ion quantum computers for their specific qubit properties.","Benchmark quantum circuit performance on IonQ devices as part of a larger Cirq-based research workflow.","Integrate IonQ quantum execution into a hybrid classical-quantum application built with Cirq.","Access IonQ's quantum computers from a Python environment without learning a separate SDK."],"what_it_does":"Cirq-IonQ is a bridge between Google's Cirq quantum programming framework and IonQ's quantum computers. It lets you write quantum algorithms using Cirq's abstractions and execute them on IonQ hardware, rather than only on simulators. The package depends on cirq-core and requests, and is built for NISQ (noisy intermediate-scale quantum) devices where hardware details matter for achieving good results.\n\nYou use it by defining a quantum circuit in Cirq, then submitting it to IonQ through the integration module's service interface. The package handles the translation between Cirq's circuit representation and IonQ's API, managing authentication and job submission. It's actively maintained, supports Python 3.11 through 3.14, and has no known security vulnerabilities.","worth_installing":"Yes, if you are already using Cirq and need access to IonQ quantum hardware. The package has low install friction, is actively maintained, carries a permissive license, and integrates cleanly with Cirq's ecosystem. It is not necessary if you only need local quantum simulation or are not targeting IonQ devices."},"id":"cirq-ionq","links":{"html":"https://skillfed.io/packages/cirq-ionq","md":"https://skillfed.io/packages/cirq-ionq.md","pypi":"https://pypi.org/project/cirq-ionq/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-29","license_spdx":null,"license_treatment":"permissive","name":"cirq-ionq","python_support":"supports_current","summary":"A Cirq package to simulate and connect to IonQ quantum computers"},"popularity":{"monthly_downloads":155344,"position":10822,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.7.0"}