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20242026
most citedString-Breaking Dynamics in Quantum Adiabatic and Diabatic Processes

2 citations · 2 across the 3 of their papers we have counts for

collaborators

10 papers

cond-mat.stat-mech2026

Interface phases and dynamics in two-dimensional quantum magnets: A "holographic" approach from universality to quantum simulation

Abhishodh Prakash, Jaydev Singh Rao, Siddharth A. Parameswaran +1

We introduce a framework to classify quantum phases, phase transitions, and non-equilibrium dynamics of interfaces separating ordered bulk domains in 2D quantum magnets - equivalen…

cond-mat.str-el2026

Multibath Influence Matrices: Universal Scaling from Real-Time Dynamics

Matan Lotem, Michael Sonner, Valentin Link +2

Diverging timescales are the hallmark of critical dynamics and the bottleneck to their classical and quantum simulation. To tame this, we compress a spacetime tensor network: tempo…

quant-ph20262 cited

String-Breaking Dynamics in Quantum Adiabatic and Diabatic Processes

Federica Maria Surace, Alessio Lerose, Or Katz +10

Confinement prohibits isolation of color charges, e.g., quarks, in nature via a process called string breaking: the separation of two charges results in an increase in the energy o…

math-ph2026

Stark localization of interacting particles

Wojciech De Roeck, Amirali Hannani, Alessio Lerose +1

We consider N interacting quantum particles on a one-dimensional lattice, and subjected to an external linear potential. For N = 1, the corresponding Hamiltonian is explicitly diag…

quant-ph2025

Temporal entanglement transition in chaotic quantum many-body dynamics

Ilya Vilkoviskiy, Michael Sonner, Qi Camm Huang +3

Temporal entanglement (TE) of an influence matrix (IM) has been proposed as a measure of complexity of simulating dynamics of local observables in a many-body system. Foligno et al…

quant-ph2025

Running Quantum Computers in Discovery Mode

Benedikt Placke, Aydin Deger, G. J. Sreejith +2

Using a 36-qubit quantum processor, we demonstrate that, by operating in conjunction with a classical machine learning agent, quantum computers can discover instances of interestin…