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20092026
most citedCritical properties of the measurement-induced transition in random quantum circuits

387 citations · 1.6k across the 70 of their papers we have counts for

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10 papers · 1 filter

quant-ph2025

Strong-to-weak symmetry breaking in monitored dipole conserving quantum circuits

Caterina Zerba, Sarang Gopalakrishnan, Michael Knap

We explore the information-theoretic phases of monitored quantum circuits subject to dynamics that conserves both charge and dipole moment, as well as measurements of the local cha…

quant-ph2025

Spectral properties and coding transitions of Haar-random quantum codes

Grace M. Sommers, J. Alexander Jacoby, Zack Weinstein +2

A quantum error-correcting code with a nonzero error threshold undergoes a mixed-state phase transition when the error rate reaches that threshold. We explore this phase transition…

cond-mat.stat-mech2025

Scalable accuracy gains from postselection in quantum error correcting codes

Hongkun Chen, Daohong Xu, Grace M. Sommers +3

Decoding stabilizer codes such as the surface and toric codes involves evaluating free-energy differences in a disordered statistical mechanics model, in which the randomness comes…

quant-ph2025

High-capacity associative memory in a quantum-optical spin glass

Brendan P. Marsh, David Atri Schuller, Yunpeng Ji +5

The Hopfield model describes a neural network that stores memories using all-to-all-coupled spins. Memory patterns are recalled under equilibrium dynamics. Storing too many pattern…

quant-ph2025★ 2 cited

Subexponential decay of local correlations from diffusion-limited dephasing

Ewan McCulloch, J. Alexander Jacoby, Curt von Keyserlingk +1

Chaotic quantum systems at finite energy density are expected to act as their own heat baths, rapidly dephasing local quantum superpositions. We argue that in fact this dephasing i…

cond-mat.stat-mech2025★ 3 cited

Monitored Fluctuating Hydrodynamics

Sarang Gopalakrishnan, Ewan McCulloch, Romain Vasseur

We introduce a hydrodynamic framework for describing monitored classical stochastic processes. We study the conditional ensembles for these monitored processes -- i.e., we compute…