A thresholding bandit algorithm on data from a single-parameter entanglement-witness family enables conclusive batch entanglement detection for two-qubit states in class F, with MAB-derived sample-complexity bounds.
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Pure-state BNMR is an intrinsic function of the nonzero Schmidt spectrum via dimension reduction, yielding quadratic perturbation response, Haar-random profiles localized at symmetric cuts, and closed forms for rank-2 states.
A Julia package implementing Weingarten calculus and Wick contractions for symbolic Haar integration over compact groups and random matrix ensembles.
Lecture notes and accompanying library teach replica tensor network methods to compute circuit-averaged observables in random quantum circuits by mapping them to classical statistical mechanics models.
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Batch Entanglement Detection in Parameterized Qubit States using Classical Bandit Algorithms
A thresholding bandit algorithm on data from a single-parameter entanglement-witness family enables conclusive batch entanglement detection for two-qubit states in class F, with MAB-derived sample-complexity bounds.
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Intrinsic spectral structure of bipartite nonlocal magic resource
Pure-state BNMR is an intrinsic function of the nonzero Schmidt spectrum via dimension reduction, yielding quadratic perturbation response, Haar-random profiles localized at symmetric cuts, and closed forms for rank-2 states.
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IntegrateUnitary.jl: A Julia package for symbolic integration over Haar measures
A Julia package implementing Weingarten calculus and Wick contractions for symbolic Haar integration over compact groups and random matrix ensembles.
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Lecture Notes on Replica Tensor Networks for Random Quantum Circuits
Lecture notes and accompanying library teach replica tensor network methods to compute circuit-averaged observables in random quantum circuits by mapping them to classical statistical mechanics models.