An Exponential Quantum Projection Filter for Open Quantum Systems
Qing Gao, Guofeng Zhang, Ian R. Petersen

TL;DR
This paper introduces an exponential quantum projection filter for open quantum systems, reducing computational complexity by constraining quantum trajectories to a finite-dimensional manifold, with proven stability and demonstrated effectiveness through simulations.
Contribution
It develops a novel exponential quantum projection filtering scheme using differential geometry, simplifying quantum filter equations and enabling more efficient quantum control.
Findings
Significant reduction in computational cost compared to traditional quantum filters
Proven input-to-state stability for systems converging to pure states
Simulation results demonstrate effective performance in atomic ensemble systems
Abstract
An approximate exponential quantum projection filtering scheme is developed for a class of open quantum systems described by Hudson- Parthasarathy quantum stochastic differential equations, aiming to reduce the computational burden associated with online calculation of the quantum filter. By using a differential geometric approach, the quantum trajectory is constrained in a finite-dimensional differentiable manifold consisting of an unnormalized exponential family of quantum density operators, and an exponential quantum projection filter is then formulated as a number of stochastic differential equations satisfied by the finite-dimensional coordinate system of this manifold. A convenient design of the differentiable manifold is also presented through reduction of the local approximation errors, which yields a simplification of the quantum projection filter equations. It is shown that…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture · Quantum Mechanics and Applications
