Quantum computers enable exponentially better scaling in the number of modes n for learning n-mode Gaussian optical states, with polynomially improved energy dependence over continuous-variable classical shadows.
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Separable squeezed inputs in finite-memory structured reservoirs produce detuning-locked entanglement freezing, birth-death-revival cycles, and integer-locked beating oscillations that persist with small deviations at cryogenic and moderate temperatures.
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Learning Gaussian optical states with quantum computers
Quantum computers enable exponentially better scaling in the number of modes n for learning n-mode Gaussian optical states, with polynomially improved energy dependence over continuous-variable classical shadows.
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Entanglement Dynamics of Separable Squeezed States in Finite Memory Structured Reservoir
Separable squeezed inputs in finite-memory structured reservoirs produce detuning-locked entanglement freezing, birth-death-revival cycles, and integer-locked beating oscillations that persist with small deviations at cryogenic and moderate temperatures.