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Dark Subspaces and Invariant Measures of Quantum Trajectories
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Dark Subspaces and Invariant Measures of Quantum Trajectories
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Quantum trajectories are Markov processes describing the evolution of a quantum system subject to indirect measurements. They can be viewed as place dependent iterated function systems or the result of products of dependent and non identically distributed random matrices. In this article, we establish a complete classification of their invariant measures. The classification is done in two steps. First, we prove a Markov process on some linear subspaces called dark subspaces, defined in (Maassen, K\"ummerer 2006), admits a unique invariant measure. Second, we study the process inside the dark subspaces. Using a notion of minimal family of isometries from a reference space to dark subspaces, we prove a set of measures indexed by orbits of a unitary group is the set of ergodic measures of quantum trajectories.
Forward citations
Cited by 2 Pith papers
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Supermartingales in Quantum Resources Theories: Where do quantum resources go when you're watching?
Strongly monotonic quantum resource measures are supermartingales along quantum trajectories, yielding universal post-selection bounds and an asymptotic resource vanishing-or-freezing dichotomy.
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The rate of purification of quantum trajectories
Monitored quantum systems without dark subspaces purify exponentially fast in expectation, with a computable rate, and state estimates from the same record converge exponentially to the true state.
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