Dynamical correlations in a dissipative XXZ spin chain preserve early-time transport universality classes (ballistic, KPZ, diffusive) with magnon ballistic features at finite magnetization, but acquire exponential damping at long times under Lindblad evolution.
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Three-spin interactions enable maximal concurrence near multicritical points and sustain entanglement for intra-phase quenches in a central spin model.
The non-relativistic version of Sorkin's paradoxical measurement scenario has explicit bounds on signaling, with conditions identified for zero extraneous signaling.
In the large-N limit, spin squeezing torsion yields a nonlinear qubit governed by the two-state Gross-Pitaevskii equation that solves single-input state discrimination on the Bloch sphere.
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.
citing papers explorer
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Dynamical correlations in a dissipative XXZ spin chain
Dynamical correlations in a dissipative XXZ spin chain preserve early-time transport universality classes (ballistic, KPZ, diffusive) with magnon ballistic features at finite magnetization, but acquire exponential damping at long times under Lindblad evolution.
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Generation of concurrence in a generalized central spin model with a three-spin interacting environment
Three-spin interactions enable maximal concurrence near multicritical points and sustain entanglement for intra-phase quenches in a central spin model.
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Phenomenological constraints on "impossible" measurements
The non-relativistic version of Sorkin's paradoxical measurement scenario has explicit bounds on signaling, with conditions identified for zero extraneous signaling.
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From spin squeezing to fast state discrimination
In the large-N limit, spin squeezing torsion yields a nonlinear qubit governed by the two-state Gross-Pitaevskii equation that solves single-input state discrimination on the Bloch sphere.
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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.