TensorFlow Quantum: A Software Framework for Quantum Machine Learning

Broughton, Michael; Verdon, Guillaume; McCourt, Trevor; J. Martinez, Antonio; Hyeon Yoo, Jae; V. Isakov, Sergei; Massey, Philip; Halavati, Ramin; Yuezhen Niu, Murphy; Zlokapa, Alexander; Peters, Evan; Lockwood, Owen; Skolik, Andrea; Jerbi, Sofiène; Dunjko, Vedran; Leib, Martin; Streif, Michael; Von Dollen, David; Chen, Hongxiang; Cao, Shuxiang; Wiersema, Roeland; Huang, Hsin-Yuan; R. McClean, Jarrod; Babbush, Ryan; Boixo, Sergio; Bacon, Dave; Ho, Alan; Neven, Hartmut; Mohseni, Masoud

doi:10.48550/arxiv.2003.02989

Public

TensorFlow Quantum: A Software Framework for Quantum Machine Learning

Shared by NobleBlocks on Mar 6, 2020 • 12:00 AM UTC

Authors:

Michael Broughton

Guillaume Verdon

Trevor McCourt

Abstract

We introduce TensorFlow Quantum (TFQ), an open source library for the rapid prototyping of hybrid quantum-classical models for classical or quantum data. This framework offers high-level abstractions for the design and training of both discriminative and generative quantum models under TensorFlow an...

Subject

Quantum machine learning

Computer science

Quantum computer

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