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most citedA reinforcement learning path planning approach for range-only underwater target localization with autonomous vehicles

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cs.LG2026

SQARL: A Size-Agnostic Reinforcement Learning approach for Circuit Allocation in Distributed Quantum Architectures

Víctor Carballo, Júlia López-Closa, Mario Martin

The scaling of quantum processors is currently limited by technical challenges such as decoherence and cross-talk. As the number of qubits grows, interference increases the computa…