Distinguishing synthetic unravelings on quantum computers
Eloy Pi\~nol, Piotr Sierant, Dustin Keys, Romain Veyron, Miguel Angel Garc\'ia-March, Tanner Reese, Morgan W. Mitchell, Jan Wehr, Maciej Lewenstein

TL;DR
This paper demonstrates how different measurement schemes, or unravelings, of the same quantum master equation produce distinct nonlinear trajectory statistics, and shows how to experimentally distinguish these unravelings using superconducting qubits.
Contribution
The authors introduce synthetic unravelings implemented as quantum circuits, enabling experimental differentiation of measurement backaction effects beyond ensemble averages.
Findings
Variance across trajectories distinguishes unravelings
Ensemble-averaged von Neumann entropy varies with unraveling
Unconditional states and linear expectation values remain identical
Abstract
Distinct monitoring or intervention schemes can produce different conditioned stochastic quantum trajectories while sharing the same unconditional (ensemble-averaged) dynamics. This is the essence of unravelings of a given Gorini-Kossakowski-Sudarshan-Lindblad (GKSL) master equation: any trajectory-ensemble average of a function that is linear in the conditional state is completely determined by the unconditional density matrix, whereas applying a nonlinear function before averaging can yield unraveling-dependent results beyond the average evolution. A paradigmatic example is resonance fluorescence, where direct photodetection (jump/Poisson) and homodyne or heterodyne detection (diffusive/Wiener) define inequivalent unravelings of the same GKSL dynamics. In earlier work, we showed that nonlinear trajectory averages can distinguish such unravelings, but observing the effect in that…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum many-body systems · Quantum Computing Algorithms and Architecture
