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20242026
most citedPhysics Informed Kolmogorov-Arnold Neural Networks for Dynamical Analysis via Efficent-KAN and WAV-KAN

7 citations · 15 across the 16 of their papers we have counts for

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quant-ph2025

Generalized Boundary Conditions for the qBounce Experiment

Eric J. Sung, Benjamin Koch, Tobias Jenke +2

Discrepancies between theory and recent qBounce data have prompted renewed scrutiny of how boundary conditions are implemented for ultracold neutrons bouncing above a mirror in Ear…

cs.LG2025★ 1 cited

Physics-informed time series analysis with Kolmogorov-Arnold Networks under Ehrenfest constraints

Abhijit Sen, Illya V. Lukin, Kurt Jacobs +3

The prediction of quantum dynamical responses lies at the heart of modern physics. Yet, modeling these time-dependent behaviors remains a formidable challenge because quantum syste…

physics.optics2025

The Mass and Velocity of Light from Energy and Momentum Conservation

Volodimir Simulik, Denys I. Bondar

While the numerical value of the speed of light is known with extraordinary precision, its theoretical definition remains a subject of fundamental interest. We show that the defini…

quant-ph2025

Unitary Gate Synthesis via Polynomial Optimization

Llorenç Balada Gaggioli, Denys I. Bondar, Jiri Vala +2

Quantum optimal control plays a crucial role in the development of quantum technologies, particularly in the design and implementation of fast and accurate gates for quantum comput…

quant-ph2025

Predicting Entanglement Entropy from Particle Tunneling of Interacting Fermions Using Kolmogorov-Arnold Networks

Elvira Bilokon, Valeriia Bilokon, Abhijit Sen +3

Entanglement entropy is a fundamental measure of quantum correlations and a key resource underpinning advances in quantum information and many-body physics. We uncover a universal…

cs.CV2025

Feature Engineering is Not Dead: Reviving Classical Machine Learning with Entropy, HOG, and LBP Feature Fusion for Image Classification

Abhijit Sen, Giridas Maiti, Bikram K. Parida +3

Feature engineering continues to play a critical role in image classification, particularly when interpretability and computational efficiency are prioritized over deep learning mo…

quant-ph2025

Enhancement of superconducting pairing via quantum Lyapunov control

Oleksandr Povitchan, Denys I. Bondar, Andrii G. Sotnikov

We demonstrate that quantum Lyapunov control provides an effective strategy for enhancing superconducting correlations in the Fermi-Hubbard model without requiring careful paramete…