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20242026
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quant-ph2026

Generalised Probabilistic Theories

Zujin Wen, Zihan Wang, Xiangjing Liu +1

We give an introduction to research associated with the generalised probabilistic theories framework, also known as the convex framework. States are real vectors representing lists…

quant-ph2025

Non-unique decompositions of mixed states and deterministic energy transfers

Zihan Wang, Fei Meng, Oscar Dahlsten

We investigate the impact of non-unique decompositions of mixed states on energy transfer. Mixed states generally have non-unique decompositions into pure states in quantum theory…

quant-ph2025

Spatial Incompatibility Witnesses for Quantum Temporal Correlations

Xiangjing Liu, Harshit Verma, Yunlong Xiao +2

We introduce a witness-based framework for certifying quantum temporal correlations via the pseudo-density matrix (PDM) formalism, which is a spatiotemporal generalization of the d…

quant-ph2024

Symmetry-guided gradient descent for quantum neural networks

Kaiming Bian, Shitao Zhang, Fei Meng +2

Many supervised learning tasks have intrinsic symmetries, such as translational and rotational symmetry in image classifications. These symmetries can be exploited to enhance perfo…

quant-ph2024

Quantum harvester enables energy transfer without randomness transfer or dissipation

Fei Meng, Junhao Xu, Xiangjing Liu +1

We consider a foundational question in energy harvesting: given a partly random energy source, is it possible to extract the energy without also transferring randomness or acceptin…