Equivalence checking of quantum circuits by model counting

J Mei, T Coopmans, M Bonsangue… - … Joint Conference on …, 2024 - Springer
Verifying equivalence between two quantum circuits is a hard problem, that is nonetheless
crucial in compiling and optimizing quantum algorithms for real-world devices. This paper …

Quantum Artificial Intelligence: A Brief Survey

M Klusch, J Lässig, D Müssig, A Macaluso… - KI-Künstliche …, 2024 - Springer
Abstract Quantum Artificial Intelligence (QAI) is the intersection of quantum computing and
AI, a technological synergy with expected significant benefits for both. In this paper, we …

Advancing Quantum Computing with Formal Methods

AJ Quist, J Mei, T Coopmans, A Laarman - International Symposium on …, 2024 - Springer
This tutorial introduces quantum computing with a focus on the applicability of formal
methods in this relatively new domain. We describe quantum circuits and convey an …

Disentangling the Gap Between Quantum and# SAT

J Mei, J Martens, A Laarman - International Colloquium on Theoretical …, 2024 - Springer
Weighted model counting (# SAT) has recently been shown to deliver a promising new
method for tackling core problems in quantum circuit analysis. However, the development of …

[CARTE][B] Automated Reasoning: 12th International Joint Conference, IJCAR 2024, Nancy, France, July 3–6, 2024, Proceedings, Part I

C Benzmüller, MJH Heule, RA Schmidt - 2024 - library.oapen.org
This two-volume set of LNAI 14739-14740 constitute the proceedings of the 12th
International Joint Conference on Automated Reasoning, IJCAR 2024, held in Nancy …

Untrained Filtering with Trained Focusing for Superior Quantum Architecture Search

LH Yu, XY Li, G Chen, QS Zhu, H Li… - arxiv preprint arxiv …, 2024 - arxiv.org
Quantum architecture search (QAS) represents a fundamental challenge in quantum
machine learning. Unlike previous methods that treat it as a static search process, from a …