Quantum Computing with Differentiable Quantum Transforms

Author:

Matteo Olivia Di1ORCID,Izaac Josh2ORCID,Bromley Thomas R.2ORCID,Hayes Anthony2ORCID,Lee Christina2ORCID,Schuld Maria2ORCID,Száva Antal2ORCID,Roberts Chase2ORCID,Killoran Nathan2ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, The University of British Columbia and Xanadu, Canada

2. Xanadu, Canada

Abstract

We present a framework for differentiable quantum transforms. Such transforms are metaprograms capable of manipulating quantum programs in a way that preserves their differentiability. We highlight their potential with a set of relevant examples across quantum computing (gradient computation, circuit compilation, and error mitigation), and implement them using the transform framework of PennyLane, a software library for differentiable quantum programming. In this framework, the transforms themselves are differentiable and can be parametrized and optimized, which opens up the possibility of improved quantum resource requirements across a spectrum of tasks.

Publisher

Association for Computing Machinery (ACM)

Subject

General Medicine

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