Alexander Zlokapa

According to our database, Alexander Zlokapa authored at least 14 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A rigorous quasipolynomial-time classical algorithm for SYK thermal expectations.

Alexander Zlokapa

CoRR, April, 2026

Exponential quantum advantage in processing massive classical data.

Haimeng Zhao, Alexander Zlokapa, Hartmut Neven, Ryan Babbush, John Preskill, Jarrod R. McClean, Hsin-Yuan Huang

CoRR, April, 2026

SYK thermal expectations are classically easy at any temperature.

Alexander Zlokapa, Bobak T. Kiani

CoRR, February, 2026

2025

Quartic quantum speedups for community detection.

Alexander Schmidhuber, Alexander Zlokapa

CoRR, October, 2025

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., July, 2025

2024

Hamiltonian simulation for low-energy states with optimal time dependence.

Alexander Zlokapa, Rolando D. Somma

Quantum, 2024

Bayesian Inference with Deep Weakly Nonlinear Networks.

Boris Hanin, Alexander Zlokapa

CoRR, 2024

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 Interpolation with Deep Linear Networks.

Boris Hanin, Alexander Zlokapa

CoRR, 2022

Biological error correction codes generate fault-tolerant neural networks.

Alexander Zlokapa, Andrew K. Tan, John M. Martyn, Max Tegmark, Isaac L. Chuang

CoRR, 2022

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

A quantum algorithm for training wide and deep classical neural networks.

Alexander Zlokapa, Hartmut Neven, Seth Lloyd

CoRR, 2021

2019

Quantum adiabatic machine learning with zooming.

Alexander Zlokapa, Alex Mott, Joshua A. Job, Jean-Roch Vlimant, Daniel A. Lidar, Maria Spiropulu

CoRR, 2019

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