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This research demonstrates that the specific pattern of environmental coupling in quantum reservoirs fundamentally dictates which segments of input history are retained, acting as a critical design parameter rather than just a damping factor. The study reveals that shared relaxation channels preserve more recent information compared to independent local loss, with memory retention varying based on relative phases across different system configurations. These findings provide essential insights for optimizing fixed-dynamics quantum computing architectures where environmental interaction is integral to the computation process.
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The Organization of Environmental Coupling Shapes What Quantum Reservoirs Remember

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arXiv:2608.14181v1 Announce Type: new Abstract: For an open quantum reservoir, how the system forgets is part of how it computes. Quantum reservoir computing processes input streams with fixed quantum dynamics and trains only a linear readout. Dissipation can make old inputs fade, but prior studies commonly fix the environmental process and tune only its strength. Here we show numerically that the coupling pattern, meaning whether transitions connect to separate or shared environmental channels, changes which parts of the input history remain accessible. Paired simulations of finite spin reservoirs keep the Hamiltonian, inputs, measurements, and readout fixed. The tested patterns produce distinct task profiles, with no universal winner. Shared relaxation preserves more recent input history than independent local loss, and the retained memory changes when the qubits contribute with different relative phases to the shared decay channel. This ordering recurs across system sizes, Hamiltonians, input protocols, and targeted controls. Environmental coupling is therefore more than a damping parameter: it is a design layer that shapes not only how quickly information fades, but which input history remains available for computation.

Abstract:For an open quantum reservoir, how the system forgets is part of how it computes. Quantum reservoir computing processes input streams with fixed quantum dynamics and trains only a linear readout. Dissipation can make old inputs fade, but prior studies commonly fix the environmental process and tune only its strength. Here we show numerically that the coupling pattern, meaning whether transitions connect to separate or shared environmental channels, changes which parts of the input history remain accessible. Paired simulations of finite spin reservoirs keep the Hamiltonian, inputs, measurements, and readout fixed. The tested patterns produce distinct task profiles, with no universal winner. Shared relaxation preserves more recent input history than independent local loss, and the retained memory changes when the qubits contribute with different relative phases to the shared decay channel. This ordering recurs across system sizes, Hamiltonians, input protocols, and targeted controls. Environmental coupling is therefore more than a damping parameter: it is a design layer that shapes not only how quickly information fades, but which input history remains available for computation.

arXiv:2608.14181 [quant-ph]

(or arXiv:2608.14181v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2608.14181 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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