Quantum memory optimisation using finite-horizon, decoherence time and discounted mean-square performance criteria

• URL: http://arxiv.org/abs/2510.08299v1
• Date: Thu, 09 Oct 2025 14:51:08 GMT
• Title: Quantum memory optimisation using finite-horizon, decoherence time and discounted mean-square performance criteria
• Authors: Igor G. Vladimirov, Ian R. Petersen, Guodong Shi,
• Abstract summary: This paper is concerned with open quantum memory systems for approximately retaining quantum information.<n>The deviation of the system variables from their initial values lends itself to closed-form computation in terms of tractable moment dynamics.<n>We link this approach with the minimisation of the mean-square deviation functionals at a finite time horizon and with their discounted version which quantifies the averaged performance of the quantum system as a temporary memory.
• Score: 3.309206494917515
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This paper is concerned with open quantum memory systems for approximately retaining quantum information, such as initial dynamic variables or quantum states to be stored over a bounded time interval. In the Heisenberg picture of quantum dynamics, the deviation of the system variables from their initial values lends itself to closed-form computation in terms of tractable moment dynamics for open quantum harmonic oscillators and finite-level quantum systems governed by linear or quasi-linear Hudson-Parthasarathy quantum stochastic differential equations, respectively. This tractability is used in a recently proposed optimality criterion for varying the system parameters so as to maximise the memory decoherence time when the mean-square deviation achieves a given critical threshold. The memory decoherence time maximisation approach is extended beyond the previously considered low-threshold asymptotic approximation and to Schr\"{o}dinger type mean-square deviation functionals for the reduced system state governed by the Lindblad master equation. We link this approach with the minimisation of the mean-square deviation functionals at a finite time horizon and with their discounted version which quantifies the averaged performance of the quantum system as a temporary memory under a Poisson flow of storage requests.

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