A tutorial on applying quantum multiple-valued decision diagrams to circuit simulation

Quantum Multiple-Valued Decision Diagrams have proven their utility in efficiently representing and manipulating reversible and quantum functions. This work, acting as a mini-review of the topic, aims to provide a comprehensive guide for implementing reversible and quantum circuit simulators using such diagrams by integrating existing methodologies into a single cohesive framework. The operation and purpose of all relevant algorithms and routines are explained, and pseudo-code schematics are also detailed for each. A proof-of-concept implementation is presented at the end, made openly available to facilitate comprehension and research in the field of decision-diagram-based simulation of Quantum Computing.

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Publication Details

Journal
Quantum Information Processing
Published
2025-09-25
DOI
https://doi.org/10.1007/s11128-025-04917-0
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
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article

A tutorial on applying quantum multiple-valued decision diagrams to circuit simulation

Konstantinos Prousalis, N. Konofaos, Asimakis Kydros
Quantum Information Processing
Quantum Computing Algorithms and Architecture
article

A tutorial on applying quantum multiple-valued decision diagrams to circuit simulation

Konstantinos Prousalis, N. Konofaos, Asimakis Kydros
article en

Abstract

Quantum Multiple-Valued Decision Diagrams have proven their utility in efficiently representing and manipulating reversible and quantum functions. This work, acting as a mini-review of the topic, aims to provide a comprehensive guide for implementing reversible and quantum circuit simulators using such diagrams by integrating existing methodologies into a single cohesive framework. The operation and purpose of all relevant algorithms and routines are explained, and pseudo-code schematics are also detailed for each. A proof-of-concept implementation is presented at the end, made openly available to facilitate comprehension and research in the field of decision-diagram-based simulation of Quantum Computing.

Quantum Information ProcessingVol. 24(10)
Aristotle University of Thessaloniki (GR)
Openalex Percentile: Top 86%
Quantum Computing Algorithms and Architecture
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