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From the 1 of 15 linked papers with an AI index.

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20242026
most citedDynamics of disordered quantum systems with two- and three-dimensional tensor networks

6 citations · 8 across the 5 of their papers we have counts for

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15 papers

quant-ph2026

Exploring the Relaxation Landscape of a 2D Quantum Magnet on a 256-Qubit Processor

Tiago Mendes-Santos, Joseph Vovrosh, Sergi Julià-Farré +33

How quantum matter relaxes far from equilibrium is a central open problem in many-body physics, and one for which analog quantum simulators are well positioned to move from confirm…

quant-ph2026

Observable Estimation in the Absence of Classical Verification

Samantha V. Barron, Bradley Mitchell, Vinay Tripathi +45

The paper proposes a framework to independently validate observable estimates from quantum computers when classical benchmarks are unavailable, using experiments such as the operat…

quant-ph20262 cited

Compressing multivariate functions with tree tensor networks

Joseph Tindall, E. Miles Stoudenmire, Ryan Levy

Tensor networks are a compressed format for multi-dimensional data. One dimensional tensor networks -- often referred to as tensor trains (TT) or matrix product states (MPS) -- are…

cond-mat.str-el2026

Finite-temperature formation of magnetic plateaus and simplex liquid states on the frustrated ruby lattice

Antonio Francesco Mello, E. Miles Stoudenmire, Joseph Tindall

Geometric frustration in quantum systems can stabilize unconventional phases of matter that avoid traditional magnetic ordering at low temperatures. Here, we observe this phenomeno…

quant-ph20266 cited

Dynamics of disordered quantum systems with two- and three-dimensional tensor networks

Joseph Tindall, Antonio Mello, Matt Fishman +2

Large scale quantum annealing dynamics of Ising spin glasses were recently implemented on D-Wave's Advantage system on a range of lattices. Following extensive comparison to exi…

quant-ph2026

Contracting Tensor Networks with Generalized Belief Propagation

Joseph Tindall, Grace M. Sommers, Hilbert Kappen

Recent years have seen a growing interest in the use of belief propagation - an algorithm originally introduced for performing statistical inference on graphical models - for appro…