Randomization Times under Quantum Chaotic Hamiltonian Evolution
Souradeep Ghosh, Nicholas Hunter-Jones, and Joaquin F. Rodriguez-Nieva

TL;DR
This paper investigates how generic quantum-chaotic Hamiltonian evolution can generate effective randomness rapidly, with local and nonlocal observables reaching Haar-random expectations on polynomial timescales, surpassing previous limitations.
Contribution
It demonstrates that non-random, physically realistic Hamiltonians can produce Haar-like randomness efficiently, challenging assumptions about the necessity of random circuits for rapid thermalization.
Findings
Effective Haar-randomization occurs before ergodic exploration of Hilbert space.
Local and nonlocal observables equilibrate to Haar expectations quickly.
Randomization timescales are linear in system size, bypassing sub-ballistic entropy growth.
Abstract
Randomness generation through quantum-chaotic evolution underpins foundational questions in statistical mechanics and applications across quantum information science, including benchmarking, tomography, metrology, and demonstrations of quantum computational advantage. While statistical mechanics successfully captures the temporal averages of local observables, understanding randomness at the level of higher statistical moments remains a daunting challenge, with analytic progress largely confined to random quantum circuit models or fine-tuned systems exhibiting space-time duality. Here we study how much randomness can be dynamically generated by generic quantum-chaotic evolution under physical, non-random Hamiltonians. Combining theoretical insights with numerical simulations, we show that for broad classes of initially unentangled states, the dynamics become effectively Haar-random well…
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Taxonomy
TopicsQuantum many-body systems · Quantum chaos and dynamical systems · Advanced Thermodynamics and Statistical Mechanics
