Continuous-time probabilistic angle interpolation enables Trotter-error-free stochastic quantum evolution, demonstrated on H3+ ground-state energy and sparse SYK out-of-time-ordered correlators via simulations and trapped-ion hardware.
Measuring the scrambling of quantum information
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abstract
We provide a protocol to measure out-of-time-order correlation functions. These correlation functions are of theoretical interest for diagnosing the scrambling of quantum information in black holes and strongly interacting quantum systems generally. Measuring them requires an echo-type sequence in which the sign of a many-body Hamiltonian is reversed. We detail an implementation employing cold atoms and cavity quantum electrodynamics to realize the chaotic kicked top model, and we analyze effects of dissipation to verify its feasibility with current technology. Finally, we propose in broad strokes a number of other experimental platforms where similar out-of-time-order correlation functions can be measured.
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The study demonstrates that long-range couplings and heterogeneous degree distributions in Ising spin networks on path, Erdős–Rényi, and Watts–Strogatz topologies accelerate quantum information scrambling and chaos, diagnosed via OTOCs, tripartite information, Krylov complexity, and spectral form fa
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Continuous-time evolution via probabilistic angle interpolation and its applications
Continuous-time probabilistic angle interpolation enables Trotter-error-free stochastic quantum evolution, demonstrated on H3+ ground-state energy and sparse SYK out-of-time-ordered correlators via simulations and trapped-ion hardware.
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Topological Control of Quantum Chaos Diagnostics: OTOCs, Spectral Statistics, and Information Scrambling in Ising Model
The study demonstrates that long-range couplings and heterogeneous degree distributions in Ising spin networks on path, Erdős–Rényi, and Watts–Strogatz topologies accelerate quantum information scrambling and chaos, diagnosed via OTOCs, tripartite information, Krylov complexity, and spectral form fa