Design and Optimization of Adaptive Diversity Schemes in Quantum MIMO Channels
Shehbaz Tariq, Symeon Chatzinotas

TL;DR
This paper proposes an adaptive quantum MIMO transmission scheme using asymmetric cloning and probabilistic purification, improving fidelity and robustness in noisy quantum channels, with a focus on practical design and optimization.
Contribution
It introduces a novel adaptive diversity strategy for QuMIMO systems utilizing universal asymmetric cloning and channel-aware purification, with an eigenvalue-based fidelity optimization approach.
Findings
Significant fidelity improvements in crosstalk-dominated regimes.
Automatic adaptation to channel symmetry and conditions.
Efficient tuning of cloning parameters without iterative optimization.
Abstract
As quantum networks evolve toward a full quantum Internet, reliable transmission in quantum multiple-input multiple-output (QuMIMO) settings becomes essential, yet remains difficult due to noise, crosstalk, and the mixing of quantum information across subchannels. To improve reliability in such settings, we study an adaptive diversity strategy for discrete-variable QuMIMO systems based on universal asymmetric cloning at the transmitter and probabilistic purification at the receiver. An input qubit is encoded into M approximate clones, transmitted over an N x N multi-mode quantum channel, and recovered through a purification map optimized using available channel state information (CSI). For the given cloning asymmetry parameters, we derive an eigenvalue-based expression for the decoder-optimal end-to-end fidelity in the form of a generalized Rayleigh quotient, which enables efficient…
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Computing Algorithms and Architecture · Molecular Communication and Nanonetworks
