activity
20242026
most citedSuperspin Renormalization and Slow Relaxation in Random Spin Systems

2 citations · 7 across the 13 of their papers we have counts for

collaborators

14 papers

cond-mat.stat-mech2026

Thermal entanglement transitions from strong symmetry

Siqi Mo, Ehud Altman, Samuel J. Garratt

We study mixed-state entanglement in Gibbs states with strong symmetry, focusing on locally interacting spin systems with ferromagnetic interactions. Our main resu…

quant-ph2026

Entanglement transitions in translation-invariant tensor networks

Yi-Cheng Wang, Samuel J. Garratt, Ehud Altman

We study the complexity of approximately contracting translation-invariant tensor networks. The computational cost of row-by-row tensor network contraction, which defines a discret…

cond-mat.stat-mech2026

Quantum matter is weakly entangled at low energies

Samuel J. Garratt, Dmitry A. Abanin

We construct upper bounds on entanglement entropies of many-body quantum states that have fixed energy expectation values with respect to local Hamiltonians. Our focus is on entang…

cond-mat.stat-mech2026

Intrinsic Error Thresholds in Nearly Critical Toric Codes

Zack Weinstein, Samuel J. Garratt

We study the protection of information in nearly critical topological quantum codes, constructed by perturbing topological stabilizer codes towards continuous quantum phase transit…

quant-ph2025

Stability of quantum chaos against weak non-unitarity

Yi-Cheng Wang, Ehud Altman, Samuel J. Garratt

We study the quantum dynamics generated by the repeated action of a non-unitary evolution operator on a system of qubits. Breaking unitarity can lead to the purification of mixed i…

cond-mat.str-el2025

Fractional quantum Hall states under density decoherence

Zijian Wang, Ruihua Fan, Tianle Wang +2

Fractional quantum Hall states are promising platforms for topological quantum computation due to their capacity to encode quantum information in topologically degenerate ground st…

quant-ph2025

Lower bounds on the complexity of preparing mixed states

Max McGinley, Samuel J. Garratt

We establish a relationship between the correlations in a many-qubit mixed state and the minimum circuit depth needed for its preparation. If the mutual information between two sub…

quant-ph2025★ 1 cited

Machine learning the effects of many quantum measurements

Wanda Hou, Samuel J. Garratt, Norhan M. Eassa +4

Measurements are essential for the processing and protection of information in quantum computers. They can also induce long-range entanglement between unmeasured qubits. However, w…

cond-mat.stat-mech2025★ 2 cited

Learning transitions in classical Ising models and deformed toric codes

Malte Pütz, Samuel J. Garratt, Hidetoshi Nishimori +2

Conditional probability distributions describe the effect of learning an initially unknown classical state through Bayesian inference. Here we demonstrate the existence of a \texti…

cond-mat.dis-nn2025★ 2 cited

Superspin Renormalization and Slow Relaxation in Random Spin Systems

Yi J. Zhao, Samuel J. Garratt, Joel E. Moore

We develop an excited-state real-space renormalization group (RSRG-X) formalism to describe the dynamics of conserved densities in randomly interacting spin- systems.…

quant-ph2025★ 1 cited

Entanglement and private information in many-body thermal states

Samuel J. Garratt, Max McGinley

We use concepts from quantum cryptography to relate the entanglement in many-body mixed states to standard correlation functions. If a system can be used as a resource for distilli…

cond-mat.mtrl-sci2025

Goldstone mode of the broken helix in U(1) magnet EuIn2As2

Alex Liebman-Pelaez, Samuel J. Garratt, Veronika Sunko +5

Goldstone modes acquire a frequency gap in the presence of perturbations that break the underlying continuous symmetry. Here, we study the response of a spin-based Goldstone mode t…

cond-mat.stat-mech2024★ 1 cited

Post-measurement Quantum Monte Carlo

Kriti Baweja, David J. Luitz, Samuel J. Garratt

We show how the effects of large numbers of measurements on many-body quantum ground and thermal states can be studied using Quantum Monte Carlo (QMC). Density matrices generated b…

quant-ph2024

Quantum Algorithm to Prepare Quasi-Stationary States

Samuel J. Garratt, Soonwon Choi

Quantum dynamics can be analyzed via the structure of energy eigenstates. However, in the many-body setting, preparing eigenstates associated with finite temperatures requires time…