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PyZX: Large Scale Automated Diagrammatic Reasoning

2019/04/30 by Aleks Kissinger, John van de Wetering · 5 citations
Physics and Astronomy · #quant-ph

paper · pdf · doi:10.4204/eptcs.318.14

published as EPTCS 318, 2020, pp. 229-241 · In Proceedings QPL 2019, arXiv:2004.14750

arxiv created 2020/05/01 · arxiv updated 2020/05/04

Abstract

The ZX-calculus is a graphical language for reasoning about ZX-diagrams, a type of tensor networks that can represent arbitrary linear maps between qubits. Using the ZX-calculus, we can intuitively reason about quantum theory, and optimise and validate quantum circuits. In this paper we introduce PyZX, an open source library for automated reasoning with large ZX-diagrams. We give a brief introduction to the ZX-calculus, then show how PyZX implements methods for circuit optimisation, equality validation, and visualisation and how it can be used in tandem with other software. We end with a set of challenges that when solved would enhance the utility of automated diagrammatic reasoning.

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