Cirq
Write, manipulate, and optimize quantum circuits in Python. Run them on quantum hardware and simulators, leveraging hardware-specific details crucial for noisy intermediate-scale devices.
This Python library provides tools for writing, manipulating, and optimizing quantum circuits. It allows users to run circuits on quantum computers and simulators. A core focus is providing useful abstractions for noisy intermediate-scale quantum (NISQ) computers, where understanding and leveraging hardware-specific details is essential for achieving state-of-the-art results. Key features include:
- Device modeling: Define and handle hardware constraints.
- Simulation capabilities: Built-in wave function and density matrix simulators supporting noise, plus integration with high-performance simulators like qsim. The library is open source and welcomes community contributions.
Categories:
Quantum Country
ZX-calculus
Unitary Foundation
IQM Pulla
Qrisp
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