Design and simulate quantum circuits with Cirq for Google Quantum AI workflows.
npx skills add https://github.com/mkurman/tamux --skill cirq-mkurman
Please help me install this Agent Skill. Skill: cirq Source: https://github.com/mkurman/tamux/tree/main/skills/scientific-skills/cirq Command: npx skills add https://github.com/mkurman/tamux --skill cirq-mkurman
Cirq provides a Python framework to design, simulate, and run quantum circuits on Google Quantum AI hardware and simulators, enabling researchers to prototype quantum algorithms efficiently.
Define two qubits, create a simple circuit with a Hadamard gate on one qubit and a CNOT to entangle them, and run it on a local Cirq simulator.
High-intent search queries and answers about installing and using this skill.
Build quantum circuits programmatically by defining qubits, applying gates like Hadamard and CNOT, and running simulations to inspect state vectors, density matrices, and measurement results. This Python framework supports exact and noisy simulations alongside parameter sweeps for quantum algorithm prototyping.
Quantum noise modeling applies realistic error simulation to circuits by injecting quantum channel operations and readout errors. It is needed when prototyping algorithms for physical quantum hardware, allowing researchers to evaluate algorithm resilience against decoherence and gate imperfections before execution.
Target Google Quantum AI hardware by routing constructed Python circuits through dedicated hardware interfaces. This integration enables hardware-backed workflow execution, applying specific device constraints, readout calibrations, and noise models directly to the submitted quantum circuits.
Optimize quantum circuit depth for hardware constraints by applying circuit transformers that reduce gate count and tailor the gateset. This transformation process minimizes execution time and error accumulation, ensuring the circuit conforms to the specific topology and supported operations of the target quantum device.
The framework supports density matrix calculations alongside state-vector simulations. Users can perform exact and noisy simulations, inspecting density matrices to analyze mixed quantum states, calculate expectation values, and evaluate the impact of noise models on circuit fidelity.
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