Does this skill support noisy simulation?

Absolutely. It covers noise channels (depolarizing, amplitude damping), custom noise models, and density matrix simulators for realistic hardware behavior modeling.

What quantum hardware providers are supported by this Cirq skill?

The skill provides integration patterns for Google Quantum AI, IonQ, Alpine Quantum Technologies (AQT), Pasqal, and Azure Quantum.

Can Claude help me optimize my quantum circuits for depth?

Yes, the skill includes specialized patterns for circuit transformations, gate decomposition, and using the Cirq transformer framework to reduce gate count and circuit depth.

How do I handle parameterized circuits for VQE or QAOA?

The skill provides templates for using SymPy symbols within Cirq circuits and performing parameter sweeps using the Simulator.run_sweep method for variational optimization.

Cirq Quantum Computing

Name: Cirq Quantum Computing
Author: BbgnsurfTech

byBbgnsurfTech

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数据科学与机器学习

Builds, simulates, and optimizes quantum circuits using Google's Cirq framework for quantum algorithms and hardware execution.

关于

This skill empowers Claude to assist with the entire quantum development lifecycle using Cirq. It provides specialized guidance for designing quantum circuits, performing noiseless and noisy simulations, modeling decoherence, and optimizing circuits for physical hardware. Whether you are implementing variational algorithms like VQE and QAOA or compiling code for providers like Google Sycamore, IonQ, or AQT, this skill offers the implementation patterns and best practices needed for rigorous quantum research and development.

主要功能

Hardware-specific compilation and optimization for multiple providers
Variational algorithm templates and parameter sweep management
Quantum circuit construction with Grid, Line, and Named qubits
Noisy and noiseless simulation using state vector and density matrix methods
Sophisticated noise modeling and error characterization (RB, XEB)
3 GitHub stars

使用场景

Simulating the impact of environmental noise on quantum gate fidelity
Compiling and executing quantum programs on physical hardware backends
Designing and benchmarking quantum algorithms for research

关于

主要功能

Hardware-specific compilation and optimization for multiple providers
Variational algorithm templates and parameter sweep management
Quantum circuit construction with Grid, Line, and Named qubits
Noisy and noiseless simulation using state vector and density matrix methods
Sophisticated noise modeling and error characterization (RB, XEB)
3 GitHub stars

使用场景

Simulating the impact of environmental noise on quantum gate fidelity
Compiling and executing quantum programs on physical hardware backends
Designing and benchmarking quantum algorithms for research