A Game-Theoretic Quantum Algorithm for Solving Magic Squares

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Chehade, Sarah, Delgado, Andrea, Wong, Elaine
Natura: Preprint
Pubblicazione: 2025
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866914423458758656
author Chehade, Sarah
Delgado, Andrea
Wong, Elaine
author_facet Chehade, Sarah
Delgado, Andrea
Wong, Elaine
contents Variational quantum algorithms (VQAs) offer a promising near-term approach to finding optimal quantum strategies for playing non-local games. These games test quantum correlations beyond classical limits and enable entanglement verification. In this work, we present a variational framework for the Magic Square Game (MSG), a two-player non-local game with perfect quantum advantage. We construct a value Hamiltonian that encodes the game's parity and consistency constraints, then optimize parameterized quantum circuits to minimize this cost. Our approach builds on the stabilizer formalism, leverages commutation structure for circuit design, and is hardware-efficient. Compared to existing work, our contribution emphasizes algebraic structure and interpretability. We validate our method through numerical experiments and outline generalizations to larger games.
format Preprint
id arxiv_https___arxiv_org_abs_2505_13366
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Game-Theoretic Quantum Algorithm for Solving Magic Squares
Chehade, Sarah
Delgado, Andrea
Wong, Elaine
Quantum Physics
Variational quantum algorithms (VQAs) offer a promising near-term approach to finding optimal quantum strategies for playing non-local games. These games test quantum correlations beyond classical limits and enable entanglement verification. In this work, we present a variational framework for the Magic Square Game (MSG), a two-player non-local game with perfect quantum advantage. We construct a value Hamiltonian that encodes the game's parity and consistency constraints, then optimize parameterized quantum circuits to minimize this cost. Our approach builds on the stabilizer formalism, leverages commutation structure for circuit design, and is hardware-efficient. Compared to existing work, our contribution emphasizes algebraic structure and interpretability. We validate our method through numerical experiments and outline generalizations to larger games.
title A Game-Theoretic Quantum Algorithm for Solving Magic Squares
topic Quantum Physics
url https://arxiv.org/abs/2505.13366