Work statistics for Quantum Spin Chains: characterizing quantum phase transitions, benchmarking time evolution, and examining passivity of quantum states
Feng-Li Lin, Ching-Yu Huang

TL;DR
This paper investigates work statistics in quantum spin chains using matrix-product states, revealing their ability to characterize quantum phase transitions, benchmark numerical methods, and analyze state passivity under various processes.
Contribution
It introduces a numerical approach to evaluate work statistics in large quantum spin chains, linking them to phase transitions, and proposes using fluctuation theorems as benchmarks for real-time evolution methods.
Findings
Work statistics indicate quantum phase transitions with local order parameters.
Fluctuation theorem can serve as a model-independent benchmark for numerical methods.
Thermal and ground states remain passive under cyclic processes, verified numerically.
Abstract
We study three aspects of work statistics in the context of the fluctuation theorem for the quantum spin chains up to sites by numerical methods based on matrix-product states (MPS). First, we use our numerical method to evaluate the moments/cumulants of work done by sudden quench process on the Ising or Haldane spin chains and study their behaviors across the quantum phase transitions. Our results show that, up to the fourth cumulant, the work statistics can indicate the quantum phase transition characterized by the local order parameters but barely for purely topological phase transitions. Second, we propose to use the fluctuation theorem, such as Jarzynski's equality, which relates the real-time correlator to the ratio of the thermal partition functions, as a benchmark indicator for the numerical real-time evolving methods. Third, we study the passivity of ground and thermal…
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Quantum many-body systems · Neural dynamics and brain function
