Blog

The latest news from Google AI

Announcing Cirq: An Open Source Framework for NISQ Algorithms

Wednesday, July 18, 2018

Posted by Alan Ho, Product Lead and Dave Bacon, Software Lead, Google AI Quantum Teamquantum computingquantum algorithmsNoisy Intermediate Scale Quantum^*First International Workshop on Quantum Software and Quantum Machine LearningGoogle AI Quantum teampublic alpha of Cirqcomputational problems of practical importanceApache 2

installed

OpenFermion-CirqOpenFermionlatest advances

Zapata Computing: simulation of a quantum autoencoder (example code, video tutorial)

QC Ware: QAOA implementation and integration into QC Ware’s AQUA platform (example code, video tutorial)

Quantum Benchmark: integration of True-Q software tools for assessing and extending hardware capabilities (video tutorial)

Heisenberg Quantum Simulations: simulating the Anderson Model

Cambridge Quantum Computing: integration of proprietary quantum compiler t|ket> (video tutorial)

NASA: architecture-aware compiler based on temporal-planning for QAOA (slides) and simulator of quantum computers (slides)

Bristlecone processorCirqOpenFermion-CirqAcknowledgementsWe would like to thank Craig Gidney for leading the development of Cirq, Ryan Babbush and Kevin Sung for building OpenFermion-Cirq and a whole host of code contributors to both frameworks.
* An analogous situation is how early classical programmers needed to run complex programs in very small memory spaces by paying careful attention to the lowest level details of the hardware.^↩