Zobrazeno 1 - 10
of 337
pro vyhledávání: '"De Nardis, P."'
In the hydrodynamic theory, the non-equilibrium dynamics of a many-body system is approximated, at large scales of space and time, by irreversible relaxation to local entropy maximisation. This results in a convective equation corrected by viscous or
Externí odkaz:
http://arxiv.org/abs/2408.04502
We consider quantum or classical many-body Hamiltonian systems, whose dynamics is given by an integrable, contact interactions, plus another, possibly long-range, generic two-body potential. We show how the dynamics of local observables is given in t
Externí odkaz:
http://arxiv.org/abs/2408.00593
Autor:
Mello, Antonio Francesco, Santini, Alessandro, Lami, Guglielmo, De Nardis, Jacopo, Collura, Mario
We propose an enhanced Time-Dependent Variational Principle (TDVP) algorithm for Matrix Product States (MPS) that integrates Clifford disentangling techniques to efficiently manage entanglement growth. By leveraging the Clifford group, which maps Pau
Externí odkaz:
http://arxiv.org/abs/2407.01692
Integrable spin chains with a continuous non-Abelian symmetry, such as the one-dimensional isotropic Heisenberg model, show superdiffusive transport with little theoretical understanding. Although recent studies reported a surprising connection to th
Externí odkaz:
http://arxiv.org/abs/2406.07150
Nonstabilizerness, or `magic', is a critical quantum resource that, together with entanglement, characterizes the non-classical complexity of quantum states. Here, we address the problem of quantifying the average nonstabilizerness of random Matrix P
Externí odkaz:
http://arxiv.org/abs/2404.18751
We study the formation and the subsequent dynamics of shock waves in repulsive one-dimensional Bose gases during the free expansion of a density hump. By building coherent Fermi states for interacting Bethe fermions, we define a quantum fluctuating i
Externí odkaz:
http://arxiv.org/abs/2403.08875
We study the time evolution of long quantum spin chains subjected to continuous monitoring via matrix product states (MPS) at fixed bond dimension, with the Time-Dependent Variational Principle (TDVP) algorithm. The latter gives an effective classica
Externí odkaz:
http://arxiv.org/abs/2402.13160
Publikováno v:
Phys. Rev. Lett. 132, 243402 (2024)
We consider one-dimensional interacting quantum fluids, such as the Lieb-Liniger gas. By computing the low-temperature limit of its (generalised) hydrodynamics we show how in this limit the gas is well described by a conventional viscous (Navier-Stok
Externí odkaz:
http://arxiv.org/abs/2309.14476
We consider a system of classical hard rods or billiard balls in one dimension, initially prepared in a Bragg-pulse state at a given temperature and subjected to external periodic fields. We show that at late times the system always thermalises in th
Externí odkaz:
http://arxiv.org/abs/2307.05379
This paper presents a novel safe reinforcement learning algorithm for strategic bidding of Virtual Power Plants (VPPs) in day-ahead electricity markets. The proposed algorithm utilizes the Deep Deterministic Policy Gradient (DDPG) method to learn com
Externí odkaz:
http://arxiv.org/abs/2307.05812