3 papers
quant-ph2026
Improved regret bounds for structured online learning of quantum states
Akshay Bansal, Jiahui Liu
Quantum state tomography is fundamental to quantum information processing but becomes infeasible at scale due to the exponential growth of the state space. Shadow tomography allevi…
cs.IT2025
Divergence Inequalities with Applications in Ergodic Theory
Ian George, Alice Zheng, Akshay Bansal
The data processing inequality is central to information theory and motivates the study of monotonic divergences. However, it is not clear operationally we need to consider all suc…
quant-ph2024
Online learning of a panoply of quantum objects
Akshay Bansal, Ian George, Soumik Ghosh +2
In many quantum tasks, there is an unknown quantum object that one wishes to learn. An online strategy for this task involves adaptively refining a hypothesis to reproduce such an…