{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/11"},{"label":"Quantum Computing","url":"https://skillfed.io/packages/category/scientific-engineering-quantum-computing"}],"enrichment":{"capability":"Cirq-core provides the foundational framework for writing, manipulating, and simulating quantum circuits on noisy intermediate-scale quantum (NISQ) devices, with built-in simulators and abstractions for quantum algorithm development.","skillfed_tags":["quantum-computing","nisq","simulator"],"use_cases":["Prototyping quantum algorithms and testing them on a local simulator before submitting to real quantum hardware.","Teaching quantum computing concepts and quantum algorithm design in educational settings.","Researching NISQ algorithms and exploring quantum circuit optimization techniques.","Building quantum applications that need to run on multiple quantum platforms via Cirq's hardware abstraction layer.","Analyzing and visualizing quantum circuits to understand their structure and behavior."],"what_it_does":"Cirq-core is the foundational Python framework for designing and simulating quantum circuits on NISQ devices. It abstracts away hardware-specific details while keeping them accessible when needed, allowing researchers and developers to write quantum algorithms that can run on simulators or be adapted for real quantum hardware. The package provides circuit construction primitives, gate operations, measurement tools, and a built-in simulator for testing algorithms before deployment.\n\nThe package depends on standard scientific Python libraries\u2014numpy, scipy, sympy, pandas, networkx, matplotlib\u2014for numerical computation, symbolic algebra, data handling, and visualization. It's designed as a modular core that can be extended with hardware-specific interface modules for different quantum computing platforms. Development is active, with recent releases and ongoing maintenance.","worth_installing":"Yes. Cirq-core is a production-stable, actively maintained framework with no known vulnerabilities, low install friction, and a permissive license. It is the right choice if you need to write and simulate quantum circuits for NISQ research or development. Install it if you're working on quantum algorithms or need a Python-based quantum computing toolkit."},"id":"cirq-core","links":{"html":"https://skillfed.io/packages/cirq-core","md":"https://skillfed.io/packages/cirq-core.md","pypi":"https://pypi.org/project/cirq-core/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-29","license_spdx":null,"license_treatment":"permissive","name":"cirq-core","python_support":"supports_current","summary":"A framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits."},"popularity":{"monthly_downloads":523595,"position":6194,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.7.0"}