Cirq: A python library for NISQ circuits

Cirq is a software library for writing, manipulating, and optimizing quantum circuits and then running them against quantum computers and simulators. Cirq attempts to expose the details of hardware, instead of abstracting them away, because, in the Noisy Intermediate-Scale Quantum (NISQ) regime, these details determine whether or not it is possible to execute a circuit at all.

Alpha Disclaimer

Cirq is currently in alpha. We are still making breaking changes. We will break your code when we make new releases. We recommend that you target a specific version of Cirq, and periodically bump to the latest release. That way you have control over when a breaking change affects you.

User Documentation

• Installing Cirq
  • Alpha Disclaimer
  • Installing on Linux
  • Installing on Mac OS X
  • Installing on Windows
• Tutorial
  • Background: Variational quantum algorithms
  • Create a circuit on a Grid
  • Creating the Ansatz
  • Simulation
  • Parameterizing the Ansatz
  • Finding the Minimum
• Circuits
  • Conceptual overview
  • Constructing circuits
  • InsertStrategies
  • Patterns for Arguments to Append and Insert
  • Slicing and Iterating over Circuits
• Gates
  • Magic Methods
  • Xmon gates
  • Other Common Gates
• Simulation
  • Qubit and Amplitude Ordering
  • Stepping through a Circuit
  • XmonSimulator
  • Gate sets
  • Parameterized Values and Studies
  • XmonSimulator Configurations and Options
• Schedules and Devices
  • Devices
  • Schedules
• Development
  • Cloning the repository
  • Forking the repository
  • Setting up an environment
  • Running continuous integration checks locally
  • Producing the Python 2.7 code
  • Writing docstrings and generating documentation
  • Producing a pypi package

API Reference

• API Reference
  • Devices and Qubits
  • Single Qubit Gates
  • Two Qubit Gates
  • Three Qubit Gates
  • Other Gate and Operation Classes
  • Circuits and Schedules
  • Trials and Simulations
  • Magic Method Protocols
  • Magic Method Protocol Types
  • Optimization
  • Utilities
  • Experiments
  • Google
  • Testing
  • Work in Progress - Noisy Channels
  • Work in Progress - Stabilizers
  • Contrib