The QMA(2) UniverseComplexity, Entanglement, and Optimization

The complexity class QMA(2), featuring two unentangled quantum provers, occupies a central yet poorly understood position in quantum complexity theory. While superficially a modest extension of QMA, unentanglement fundamentally changes both the algorithmic and complexitytheoretic landscape, connecting QMA(2) to deep questions in separability testing, polynomial optimization, and hardness of approximation. Over the past two decades, QMA(2) has inspired a rich body of work spanning restricted verification models, semidefinite and Sum-of-Squares hierarchies, and surprising links to classical problems such as the Unique Games Conjecture. This survey provides an overview of these developments, emphasizing structural insights, algorithmic techniques, and known barriers, while highlighting how progress on QMA(2) continues to illuminate the interplay between quantum information, convex optimization, and classical complexity theory.

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Publication Details

Journal
ACM SIGACT News
Published
2026-03-31
DOI
https://doi.org/10.1145/3802807.3802814
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.00
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article

The QMA(2) UniverseComplexity, Entanglement, and Optimization

Fernando Granha Jeronimo, Itai Leigh, Pei Wu
ACM SIGACT News
Quantum Computing Algorithms and Architecture
article

The QMA(2) UniverseComplexity, Entanglement, and Optimization

Fernando Granha Jeronimo, Itai Leigh, Pei Wu
article en

Abstract

The complexity class QMA(2), featuring two unentangled quantum provers, occupies a central yet poorly understood position in quantum complexity theory. While superficially a modest extension of QMA, unentanglement fundamentally changes both the algorithmic and complexitytheoretic landscape, connecting QMA(2) to deep questions in separability testing, polynomial optimization, and hardness of approximation. Over the past two decades, QMA(2) has inspired a rich body of work spanning restricted verification models, semidefinite and Sum-of-Squares hierarchies, and surprising links to classical problems such as the Unique Games Conjecture. This survey provides an overview of these developments, emphasizing structural insights, algorithmic techniques, and known barriers, while highlighting how progress on QMA(2) continues to illuminate the interplay between quantum information, convex optimization, and classical complexity theory.

ACM SIGACT NewsVol. 57(1)
Pennsylvania State University (US), University of Illinois Urbana-Champaign (US), Tel Aviv University (IL)
Openalex Percentile: Top 5%
Quantum Computing Algorithms and Architecture
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