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William Turner, Venice, The Mouth of the Grand Canal, watercolour (1840 ca.), Yale Center for British Art, USA
Credit: William Turner, Venice, The Mouth of the Grand Canal, watercolour (1840 ca.), Yale Center for British Art, USA

Lodovico Scarpa

DPhil candidate

Research theme

  • Quantum information and computation

Sub department

  • Atomic and Laser Physics

Research groups

  • Frontiers of quantum physics
lodovico.scarpa@physics.ox.ac.uk
Clarendon Laboratory, room 241.7
  • About
  • Teaching
  • Publications

Non-classicality at equilibrium and efficient predictions under non-commuting charges

ArXiv

Authors:

Lodovico Scarpa, Nishan Ranabhat, Amit Te'eni, Abdulla Alhajri, Vlatko Vedral, Fabio Anza, Luis Pedro García-Pintos

Abstract:

A quantum thermodynamic system can conserve non-commuting observables, but the consequences of this phenomenon on relaxation are still not fully understood. We investigate this problem by leveraging an observable-dependent approach to equilibration and thermalization in isolated quantum systems. We extend such approach to scenarios with non-commuting charges, and show that it can accurately estimate the equilibrium distribution of coarse observables without access to the energy eigenvalues and eigenvectors. Our predictions do not require weak coupling and are not restricted to local observables, thus providing an advantage over the non-Abelian thermal state. Within this approach, weak values and quasiprobability distributions emerge naturally and play a crucial role in characterizing the equilibrium distributions of observables. We show and numerically confirm that, due to charges' non-commutativity, these weak values can be anomalous even at equilibrium, which has been proven to be a proxy for non-classicality. Our work thus uncovers a novel connection between the relaxation of observables under non-commuting charges, weak values, and Kirkwood-Dirac quasiprobability distributions.
More details from the publisher

Observable Statistical Mechanics

ArXiv

Authors:

Lodovico Scarpa, Abdulla Alhajri, Vlatko Vedral, Fabio Anza

Abstract:

Predicting the stationary behavior of observables in isolated many-body quantum systems is a central challenge in quantum statistical mechanics. While one can often use the Gibbs ensemble, which is simple to compute, there are many scenarios where this is not possible and one must instead use another ensemble, such as the diagonal, microcanonical or generalized Gibbs ensembles. However, these all require detailed information about the energy or other conserved quantities to be constructed. Here we propose a general and computationally easy approach to determine the stationary probability distribution of observables with few outcomes. Interpreting coarse measurements at equilibrium as noisy communication channels, we provide general analytical arguments in favor of the applicability of a maximum entropy principle for this class of observables. We show that the resulting theory accurately predicts stationary probability distributions without detailed microscopic information like the energy eigenstates. Extensive numerical experiments on 7 non-weakly interacting spin-1/2 Hamiltonians demonstrate the broad applicability and robustness of this framework in both quantum integrable and chaotic models.
More details from the publisher

Classical Mechanics: A professor–student collaboration

Institute of Physics Publishing (2020)

Authors:

L. Scarpa, M. Campanelli, A. d’Alfonso del Sordo, C. Tacconis, E. Caprioglio, S. M. Perez Garcia, M. T. Shabbir

Abstract:

Classical Mechanics: A professor-student collaboration is a textbook tailored for undergraduate physics students embarking on a first-year module in Newtonian mechanics. This book was written as a unique collaboration between Professor Mario Campanelli and students that attended his course in Classical Mechanics at University College London (UCL). Taking his lecture notes as a starting point, and reflecting on their own experiences studying the material, the students worked together with Prof. Campanelli to produce a comprehensive course text that covers a familiar topic from a new perspective.
More details from the publisher
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