Decoherence Time Maximization and Partial Isolation for Open Quantum Harmonic Oscillator Memory Networks
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Vladimirov, Igor G.
Petersen, Ian R.
Shi, Guodong
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Institute of Electrical and Electronics Engineers Inc.
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This paper considers a network of open quantum harmonic oscillators which interact with their neighbours through direct energy and field-mediated couplings and also with external quantum fields. The position-momentum dynamic variables of the network are governed by linear quantum stochastic differential equations associated with the nodes of a graph whose edges specify the interconnection of the component oscillators. Such systems can be employed as quantum memories with an engineered ability to approximately retain initial conditions over a bounded time interval. We use the quantum memory decoherence time defined previously in terms of a fidelity threshold on a weighted mean-square deviation for a subset (or linear combinations) of network variables from their initial values. This approach is applied to maximizing a high-fidelity asymptotic approximation of the decoherence time over the direct energy coupling parameters of the network. The resulting optimality condition is a set of linear equations for blocks of a sparse matrix associated with the edges of the direct energy coupling graph of the network. We also discuss a setting where the quantum network has a subset of dynamic variables which are affected by the external fields only indirectly, through a complementary "shielding"system. The partially isolated subnetwork has a longer decoherence time in the high-fidelity limit, which is also amenable to optimization.
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2025 IEEE 64th Conference on Decision and Control, CDC 2025
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