Phase transitions represent a compelling tool for classical and quantum sensing
applications. It has been demonstrated that quantum sensors can in principle saturate the …

We experimentally investigate deep reinforcement learning (DRL) as an artificial intelligence
approach to control a quantum system. We verify that DRL explores fast and robust digital …

Abstract The Kibble-Zurek (KZ) mechanism has played a fundamental role in defect
formation with universal scaling laws in nonequilibrium phase transitions. However, this …

A defect density which quantifies the deviation from the spin ground state characterizes non-
equilibrium dynamics during phase transitions. The widely recognized Kibble-Zurek scaling …

We propose an interferometry within the framework of the quantum Kibble-Zurek mechanism
by exemplifying two prototypical quench protocols, namely, the round-trip and quarter-turn …

Disorders and long-range hoppings can induce exotic phenomena in condensed matter and
artificial systems. We study the topological and dynamical properties of the quasiperiodic Su …

We study how time-dependent energy fluctuations impact the dynamical quantum phase
transitions (DQPTs) following a noisy ramped quench of the transverse magnetic field in a …

We study defect generation in a quantum XY-spin chain arising due to the linear drive of the
many-body Hamiltonian in the presence of a time-dependent fast Gaussian noise. The main …

An exact description of integrable spin chains at finite temperature is provided using an
elementary algebraic approach in the complete Hilbert space of the system. We focus on …

We investigate the effect of stochastic control errors in the time-dependent Hamiltonian on
isolated quantum dynamics. The control errors are formulated as time-dependent stochastic …