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20172026
most citedSegment Anything in Medical Images

2.8k citations

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quant-ph2026

Design Principles for Enhanced Quantum Transport with Site-Dependent Noise

Maggie Lawrence, Elise Wang, Dvira Segal

Environmental noise can enhance transport, an effect known as environmental noise-assisted quantum transport. Most theoretical studies focus on optimizing system parameters under s…

quant-ph2025

Entanglement and optimization within autoregressive neural quantum states

Andrew Jreissaty, Hang Zhang, Jairo C. Quijano +2

Neural quantum states (NQSs) are powerful variational ansätze capable of representing highly entangled quantum many-body wavefunctions. While the average entanglement properties of…

quant-ph2025★ 1 cited

Discovery of energy landscapes towards optimized quantum transport: Environmental effects and long-range tunneling

Maggie Lawrence, Matthew Pocrnic, Erin Fung +3

Carrier transport in quantum networks is governed by a variety of factors, including network dimensionality and connectivity, on-site energies, couplings between sites and whether…

quant-ph2025★ 1 cited

Biorthogonal Neural Network Approach to Two-Dimensional Non-Hermitian Systems

Massimo Solinas, Brandon Barton, Yuxuan Zhang +2

Non-Hermitian quantum many-body systems exhibit a rich array of physical phenomena, including non-Hermitian skin effects and exceptional points, that remain largely inaccessible to…

quant-ph2025★ 1 cited

Double descent in quantum kernel methods

Marie Kempkes, Aroosa Ijaz, Elies Gil-Fuster +4

The double descent phenomenon challenges traditional statistical learning theory by revealing scenarios where larger models do not necessarily lead to reduced performance on unseen…

quant-ph2024★ 5 cited

Quantum Algorithm for Vibronic Dynamics: Case Study on Singlet Fission Solar Cell Design

Danial Motlagh, Robert A. Lang, Paarth Jain +5

Vibronic interactions between nuclear motion and electronic states are critical for the accurate modeling of photochemistry. However, accurate simulations of fully quantum non-adia…