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Main Authors: Dai, Aochu, Ying, Mingsheng
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2512.04497
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author Dai, Aochu
Ying, Mingsheng
author_facet Dai, Aochu
Ying, Mingsheng
contents We present QReach, the first reachability analysis tool for quantum Markov chains based on decision diagrams CFLOBDD (presented at CAV 2023). QReach provides a novel framework for finding reachable subspaces, as well as a series of model-checking subprocedures like image computation. Experiments indicate its practicality in verification of quantum circuits and algorithms. QReach is expected to play a central role in future quantum model checkers.
format Preprint
id arxiv_https___arxiv_org_abs_2512_04497
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle QReach: A Reachability Analysis Tool for Quantum Markov Chains
Dai, Aochu
Ying, Mingsheng
Quantum Physics
Logic in Computer Science
We present QReach, the first reachability analysis tool for quantum Markov chains based on decision diagrams CFLOBDD (presented at CAV 2023). QReach provides a novel framework for finding reachable subspaces, as well as a series of model-checking subprocedures like image computation. Experiments indicate its practicality in verification of quantum circuits and algorithms. QReach is expected to play a central role in future quantum model checkers.
title QReach: A Reachability Analysis Tool for Quantum Markov Chains
topic Quantum Physics
Logic in Computer Science
url https://arxiv.org/abs/2512.04497