An efficient Bures-distance algorithm for fermionic Gaussian states shows linear average subsystem-distance growth in the integrable Ising chain, but not in quadratic SYK or random Gaussian states.
Relative Entropy of Random States and Black Holes
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
We study the relative entropy of highly excited quantum states. First, we sample states from the Wishart ensemble and develop a large-N diagrammatic technique for the relative entropy. The solution is exactly expressed in terms of elementary functions. We compare the analytic results to small-N numerics, finding precise agreement. Furthermore, the random matrix theory results accurately match the behavior of chaotic many-body eigenstates, a manifestation of eigenstate thermalization. We apply this formalism to the AdS/CFT correspondence where the relative entropy measures the distinguishability between different black hole microstates. We find that black hole microstates are distinguishable even when the observer has arbitrarily small access to the quantum state, though the distinguishability is nonperturbatively small in Newton's constant. Finally, we interpret these results in the context of the subsystem Eigenstate Thermalization Hypothesis (sETH), concluding that holographic systems obey sETH up to subsystems half the size of the total system.
fields
quant-ph 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Efficient computation of average subsystem Bures distance between fermionic Gaussian states
An efficient Bures-distance algorithm for fermionic Gaussian states shows linear average subsystem-distance growth in the integrable Ising chain, but not in quadratic SYK or random Gaussian states.