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Quantum Physics

arXiv:1904.04735v2 (quant-ph)
[Submitted on 9 Apr 2019 (v1), last revised 1 May 2020 (this version, v2)]

Title:PyZX: Large Scale Automated Diagrammatic Reasoning

Authors:Aleks Kissinger, John van de Wetering
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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.
Comments: In Proceedings QPL 2019, arXiv:2004.14750
Subjects: Quantum Physics (quant-ph)
Cite as: arXiv:1904.04735 [quant-ph]
  (or arXiv:1904.04735v2 [quant-ph] for this version)
  https://doi.org/10.48550/arXiv.1904.04735
Journal reference: EPTCS 318, 2020, pp. 229-241
Related DOI: https://doi.org/10.4204/EPTCS.318.14

Submission history

From: EPTCS [view email] [via EPTCS proxy]
[v1] Tue, 9 Apr 2019 15:34:55 UTC (334 KB)
[v2] Fri, 1 May 2020 04:15:06 UTC (308 KB)
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