Charged particle tracking with quantum annealing-inspired optimization. - Alexander Zlokapa; Abhishek Anand; Jean-Roch Vlimant; Javier M. Duarte; Joshua A. Job; Daniel A. Lidar; Maria Spiropulu (CoRR, 2019)

Quantum adiabatic machine learning with zooming. - Alexander Zlokapa; Alex Mott; Joshua A. Job; Jean-Roch Vlimant; Daniel A. Lidar; Maria Spiropulu (CoRR, 2019)

A quantum algorithm for training wide and deep classical neural networks. - Alexander Zlokapa; Hartmut Neven; Seth Lloyd (CoRR, 2021)

Charged particle tracking with quantum annealing optimization. - Alexander Zlokapa; Abhishek Anand; Jean-Roch Vlimant; Javier M. Duarte; Joshua A. Job; Daniel A. Lidar; Maria Spiropulu (Quantum Mach. Intell., 2021)

Biological error correction codes generate fault-tolerant neural networks. - Alexander Zlokapa; Andrew K. Tan; John M. Martyn; Max Tegmark; Isaac L. Chuang (CoRR, 2022)

Bayesian Interpolation with Deep Linear Networks. - Boris Hanin; Alexander Zlokapa (CoRR, 2022)

Traversable wormhole dynamics on a quantum processor. - Daniel Jafferis; Alexander Zlokapa; Joseph D. Lykken; David K. Kolchmeyer; Samantha I. Davis; Nikolai Lauk; Hartmut Neven; Maria Spiropulu (Nat., 2022)

Bayesian Inference with Deep Weakly Nonlinear Networks. - Boris Hanin; Alexander Zlokapa (CoRR, 2024)

Hamiltonian simulation for low-energy states with optimal time dependence. - Alexander Zlokapa; Rolando D. Somma (Quantum, 2024)

Reply to: Experiments implementing small commuting models lack gravitational features. - Daniel Jafferis; Alexander Zlokapa; Joseph D. Lykken; David K. Kolchmeyer; Samantha I. Davis; Hartmut Neven; Maria Spiropulu (Nat., 2025)