output
19982026
most citedMachine Learning in Nuclear Physics

255 citations

Showing quant-phShow all

12 papers · 1 filter

quant-ph2025

Quantum Machine Learning for State Tomography Using Classical Data

Shabnam Jabeen, Dmytro Kurdydyk, Aadi Palnitkar +3

Reconstructing quantum states from measurement data represents a formidable challenge in quantum information science, especially as system sizes grow beyond the reach of traditiona…

quant-ph2024★ 3 cited

Surrogate optimization of variational quantum circuits

Erik J. Gustafson, Juha Tiihonen, Diana Chamaki +8

Variational quantum eigensolvers are touted as a near-term algorithm capable of impacting many applications. However, the potential has not yet been realized, with few claims of qu…

quant-ph2018★ 5 cited

Exact results for the infinite supersymmetric extensions of the infinite square well

K. Gutierrez, E. Leon, M. Belloni +1

One-dimensional potentials defined by (for integer ) arise in the repeated supersymmetrization of the infinite square well,…

quant-ph2010★ 5 cited

Less than perfect quantum wavefunctions in momentum-space: How phi(p) senses disturbances in the force

M. Belloni, R. W. Robinett

We develop a systematic approach to determine the large |p| behavior of the momentum-space wavefunction, phi(p), of a one-dimensional quantum system for wich the position-space wav…

quant-ph2010★ 4 cited

New identities from quantum-mechanical sum rules of parity-related potentials

O. A. Ayorinde, K. Chisholm, M. Belloni +1

We apply quantum mechanical sum rules to pairs of one-dimensional systems defined by potential energy functions related by parity. Specifically, we consider symmetric potentials, $…

quant-ph2010

Constraints on Airy function zeros from quantum-mechanical sum rules

M. Belloni, R. W. Robinett

We derive new constraints on the zeros of Airy functions by using the so-called quantum bouncer system to evaluate quantum-mechanical sum rules and perform perturbation theory calc…