collaborators

7 papers

physics.atom-ph2026

In Situ Coherence Measurements of Scattered Light in Magnetically Trapped Cold Atomic Clouds: Probe-Driven Atomic Dynamics

Amilson R. Fritsch, Hector Letellier, Leonardo Lima da Silva +4

The use of temporal correlations in scattered photons to probe the microscopic dynamics of ultracold quantum gases has emerged as a powerful, minimally destructive approach for in…

cond-mat.quant-gas2026

Q-GAIN: A Python Package for Machine Learning and Physically Informed Analysis Applications

M. Doris, S. Guo, S. M. Koh +5

Here we describe the quantum gas analysis and inference (Q-GAIN) Python package, which enables rapid deployment of machine learning (ML) and physics-informed analysis techniques fo…

hep-th2026

Preparing a Thermofield Double State with Feedback Quantum Algorithms

Guilherme E. L. Pexe, Lucas A. M. Rattighieri, Felipe F. Fanchini +2

The efficient preparation of correlated thermal states, such as the Thermofield Double (TFD) state, is a fundamental prerequisite for simulating quantum gravity models and many-bod…

cond-mat.quant-gas2026

Universal scaling and relaxation in decaying turbulence of Bose gases

Arnol D. García-Orozco, Michelle A. Moreno-Armijos, Sarah Sab +2

Understanding the relaxation dynamics of isolated quantum systems remains a central challenge in nonequilibrium physics. In this short review, we discuss recent experimental and th…

quant-ph2026

Quantum Optimization Algorithms for Strongly Correlated Many-Body Systems

G. E. L. Pexe, L. A. M. Rattighieri, P. M. Prado +2

This perspective article analyzes the potential and critical challenges of employing quantum optimization algorithms to investigate phase transitions in quantum many-body systems d…

cond-mat.quant-gas2026

Universal Behavior on the Relaxation Dynamics of Far-From-Equilibrium Quantum Fluids

Sarah Sab, Michelle A. Moreno-Armijos, Arnol D. García-Orozco +6

Investigating the initial conditions that lead many-body quantum systems to an out-of-equilibrium state is fundamental for understanding their thermalization dynamics. In this work…