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quant-ph2026
Interpretable Activation-Selection Neural Networks for Symbolic Regression of Parameter-Dependent Hamiltonian Eigenvalues
Alexander Yu. Kharin, Kirill F. Sheberstov
Analytical approximations to eigenvalues of parameter-dependent Hamiltonians can provide physical insight that is not readily apparent from numerical diagonalization alone. Here, w…
quant-ph2026
Origin of Long-Lived Nuclear Spin States and Coherences in Aliphatic Chains Revealed by Relaxation Theory
Danil A. Markelov, Kirill F. Sheberstov
Delocalized long-lived states (LLSs) and collective zero-quantum long-lived coherences (LLCs) in aliphatic chains provide a promising route for preserving nuclear spin order with l…
quant-ph2025
Aliphatic Chains as One-Dimensional XY Spin Chains
Kirill F. Sheberstov
Spin waves are propagating disturbances of spin order in lattices with nearest-neighbor interactions. They are traditionally observed in magnetically ordered solids using inelastic…