A5012384130- Spectroscopy and Quantum Chemical Studies
- Quantum many-body systems
- Advanced Thermodynamics and Statistical Mechanics
- Quantum, superfluid, helium dynamics
- Quantum Information and Cryptography
- Statistical Mechanics and Entropy
- Neural Networks and Applications
- Cold Atom Physics and Bose-Einstein Condensates
- Mechanical and Optical Resonators
- Random Matrices and Applications
- Diffusion and Search Dynamics
- Opinion Dynamics and Social Influence
- Quantum chaos and dynamical systems
- Quantum Computing Algorithms and Architecture
- Neural Networks and Reservoir Computing
Johannes Gutenberg University Mainz
2024-2025
Institute for Physics
2024
University of St Andrews
2020-2022
University of Nottingham
2018
When a quantum system couples strongly to multiple baths, then it is generally no longer possible describe the resulting dynamics by simply adding individual effects of each bath. However, capturing such multibath typically requires approximations that can obscure some nonadditive effects. Here we present numerically exact and efficient technique for tackling this problem builds on time-evolving matrix product operator (TEMPO) representation. We test method applying simple model exhibits...
Tracing out the environmental degrees of freedom is a necessary procedure when simulating open quantum systems. While being an essential step in deriving tractable master equation it represents loss information. In situations where there strong interplay between system and this makes understanding dynamics challenging. These dynamics, viewed isolation, have no time-local description: they are non-Markovian memory effects induce complex features that difficult to interpret. To address...
Non-Markovian dynamics arising from the strong coupling of a system to structured environment is essential in many applications quantum mechanics and emerging technologies. Deriving an accurate description general including memory effects is, however, demanding task, prohibitive standard analytical or direct numerical approaches. We present major release our open source software package, OQuPy (Open Quantum System Python), which provides several recently developed methods that address this...
We study a random unitary circuit model of an impurity moving through chaotic medium. The exchange information between the medium and is controlled by varying velocity impurity, v_d <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msub><mml:mi>v</mml:mi><mml:mi>d</mml:mi></mml:msub></mml:math> , relative to speed propagation within medium, v_B display="inline"><mml:msub><mml:mi>v</mml:mi><mml:mi>B</mml:mi></mml:msub></mml:math> . Above supersonic velocities,...
We investigate the use of a boundary time crystals (BTCs) as quantum sensors AC fields. Boundary are non-equilibrium phases matter in contact to an environment, for which macroscopic fraction many-body system breaks translation symmetry. find enhanced sensitivity BTC when its spins resonant with applied field, quantified by Fisher information (QFI). The QFI dynamics this regime is shown be captured relatively simple Ansatz consisting initial power-law growth and late-time exponential decay....
This work shows how a recently developed tensor network algorithm can exactly simulate model with both of these features. The authors further show environment dynamics be calculated from system observables, and help in understanding the complex interplay behavior.
Nanoscale devices - either biological or artificial operate in a regime where the usual assumptions of structureless, Markovian, bath do not hold. Being able to predict and study dynamics such systems is crucial usually done by tracing out degrees freedom, which implies losing information about environment. To go beyond these approaches we use numerically exact method relying on Matrix Product State representation quantum state system its environment keep track explicitly. This applied...
We study a random unitary circuit model of an impurity moving through chaotic medium. By varying the velocity impurity, $v_d$, relative to speed information propagation within medium, $v_B$, we control exchange between medium and impurity. Above supersonic velocities, $v_d> v_B$, cannot flow back after it has moved into resulting dynamics are Markovian. Below $v_d< non-Markovian, is able onto show two regimes separated by continuous phase transition with exponents directly related diffusive...
Understanding the nonequilibrium behavior of quantum systems is a major goal contemporary physics. Much research currently focused on dynamics many-body in low-dimensional lattices following quench, i.e., sudden change parameters. Already such simple setting poses substantial theoretical challenges for investigation real-time postquench dynamics. In classical systems, Kolmogorov-Mehl-Johnson-Avrami model describes phase transformation kinetics system that quenched across first-order...
We investigate the use of a boundary time crystals (BTCs) as sensors AC fields. Boundary are non-equilibrium phases matter in contact to an environment, for which macroscopic fraction many-body system breaks translation symmetry. find enhanced sensitivity BTC when its spins resonant with applied field, quantified by quantum Fisher information (QFI). The QFI dynamics this regime is shown be captured relatively simple ansatz consisting initial power-law growth and late-time exponential decay....
Non-Markovian dynamics arising from the strong coupling of a system to structured environment is essential in many applications quantum mechanics and emerging technologies. Deriving an accurate description general including memory effects however demanding task, prohibitive standard analytical or direct numerical approaches. We present major release our open source software package, OQuPy (Open Quantum System Python), which provides several recently developed methods that address this...
Tracing out the environmental degrees of freedom is a necessary procedure when simulating open quantum systems. While being an essential step in deriving tractable master equation it represents loss information. In situations where there strong interplay between system and this makes understanding dynamics challenging. These dynamics, viewed isolation, have no time-local description: they are non-Markovian memory effects induce complex features that difficult to interpret. To address...