1 citations · 2 across the 5 of their papers we have counts for
7 papers
More on OTOCs and Chaos in Quantum Mechanics -- Magnetic Fields
Cameron Beetar, Jeff Murugan
We revisit thermal out-of-time-order correlators (OTOCs) in single-particle quantum systems, focusing on magnetic billiards. Using the stadium billiard as a testbed, we compute the…
(A)Symmetric Complexity and the Quantum Mpemba Effect
Cameron Beetar, Jeff Murugan, Hendrik J. R. van Zyl
The Quantum Mpemba Effect (QME) -- the counter-intuitive phenomenon where states further from equilibrium can relax faster than those closer to it -- challenges standard expectatio…
Krylov complexity, path integrals, and instantons
Cameron Beetar, Eric L Graef, Jeff Murugan +2
Krylov complexity has emerged as an important tool in the description of quantum information and, in particular, quantum chaos. Here we formulate Krylov complexity for quant…
A Quantum Computational Perspective on Spread Complexity
Cameron Beetar, Eric L Graef, Jeff Murugan +2
We establish a direct connection between spread complexity and quantum circuit complexity by demonstrating that spread complexity emerges as a limiting case of a circuit complexity…
Double Copy in AdS3 from Minitwistor Space
Cameron Beetar, Mariana Carrillo González, Sumer Jaitly +1
The double copy relates gravitational theories to the square of gauge theories. While it is well understood in flat backgrounds, its precise realisation around curved spacetimes re…
Complexity and Operator Growth for Quantum Systems in Dynamic Equilibrium
Cameron Beetar, Nitin Gupta, S. Shajidul Haque +2
Krylov complexity is a measure of operator growth in quantum systems, based on the number of orthogonal basis vectors needed to approximate the time evolution of an operator. In th…
Neural Networks as Universal Probes of Many-Body Localization in Quantum Graphs
Cameron Beetar, Jeff Murugan, Dario Rosa
We show that a neural network, trained on the entanglement spectra of a nearest neighbor Heisenberg chain in a random transverse magnetic field, can be used to efficiently study th…