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quant-ph2026

Dimension Reduction for Quantum Adaptive Agents

Rishi Sundar, Thomas J. Elliott

Adaptive agents realise complex reactive behaviours by using a memory of past input stimuli and output actions to guide structured future responses. Quantum adaptive agents can ope…

quant-ph2026

Efficient optimisation of multi-parameter quantum control protocols for strongly-coupled systems

Sion Meredith, Oliver Dudgeon, Wojciech Bukalski +4

Achieving high-fidelity control in the presence of strong non-Markovian noise is critical for the optimization of emergent solid-state quantum devices. We present a highly efficien…

quant-ph2026

Variational Quantum Dimension Reduction for Recurrent Quantum Models

Chufan Lyu, Ximing Wang, Mile Gu +2

Recurrent quantum models (RQMs) realize sequential quantum processes through repeated application of a unitary operation on a memory system coupled with a series of output register…

quant-ph2025

Energetic advantages for quantum agents in online execution of complex strategies

Jayne Thompson, Paul M. Riechers, Andrew J. P. Garner +2

Agents often execute complex strategies -- adapting their response to each input stimulus depending on past observations and actions. Here, we derive the minimal energetic cost for…

quant-ph2024

Causal classification of spatiotemporal quantum correlations

Minjeong Song, Varun Narasimhachar, Bartosz Regula +2

From correlations in measurement outcomes alone, can two otherwise isolated parties establish whether such correlations are atemporal? That is, can they rule out that they have bee…

quant-ph2024

Dimension reduction in quantum sampling of stochastic processes

Chengran Yang, Marta Florido-Llin`as, Mile Gu +1

Quantum technologies offer a promising route to the efficient sampling and analysis of stochastic processes, with potential applications across the sciences. Such quantum advantage…