Formation of a bound state in the agent-noise energy spectrum restores QRL performance to the noiseless case for eigenstate solving under non-Markovian decoherence.
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quant-ph 2years
2025 2verdicts
UNVERDICTED 2representative citing papers
Bang-bang-bang protocols combining forward and backward trap potentials achieve faster coherent state transport approaching the quantum speed limit, outperforming forward-only methods.
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Noise-Resilient Quantum Reinforcement Learning
Formation of a bound state in the agent-noise energy spectrum restores QRL performance to the noiseless case for eigenstate solving under non-Markovian decoherence.
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Adaptable Route to Fast Coherent State Transport via Bang-Bang-Bang Protocols
Bang-bang-bang protocols combining forward and backward trap potentials achieve faster coherent state transport approaching the quantum speed limit, outperforming forward-only methods.