Jordan Cotler

According to our database, Jordan Cotler authored at least 12 papers between 2021 and 2025.

Collaborative distances:

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

2025

Noisy Quantum Learning Theory.

Jordan Cotler, Weiyuan Gong, Ishaan Kannan

CoRR, December, 2025

Quantum Probe Tomography.

Sitan Chen, Jordan Cotler, Hsin-Yuan Huang

CoRR, October, 2025

Self-replication and Computational Universality.

Jordan Cotler, Clément Hongler, Barbora Hudcová

CoRR, October, 2025

2024

Computational Dynamical Systems.

Jordan Cotler, Semon Rezchikov

Proceedings of the 65th IEEE Annual Symposium on Foundations of Computer Science, 2024

2023

Renormalizing Diffusion Models.

Jordan Cotler, Semon Rezchikov

CoRR, 2023

Analyzing Populations of Neural Networks via Dynamical Model Embedding.

Jordan Cotler, Kai Sheng Tai, Felipe Hernández, Blake Elias, David Sussillo

CoRR, 2023

2022

Hardware-efficient learning of quantum many-body states.

Katherine Van Kirk, Jordan Cotler, Hsin-Yuan Huang, Mikhail D. Lukin

CoRR, 2022

The Complexity of NISQ.

Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, Jerry Li

CoRR, 2022

2021

Revisiting dequantization and quantum advantage in learning tasks.

Jordan Cotler, Hsin-Yuan Huang, Jarrod R. McClean

CoRR, 2021

Quantum advantage in learning from experiments.

Hsin-Yuan Huang, Michael Broughton, Jordan Cotler, Sitan Chen, Jerry Li, Masoud Mohseni, Hartmut Neven, Ryan Babbush, Richard Kueng, John Preskill, Jarrod R. McClean

CoRR, 2021

A Hierarchy for Replica Quantum Advantage.

Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, Jerry Li

CoRR, 2021

Exponential Separations Between Learning With and Without Quantum Memory.

Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, Jerry Li

Proceedings of the 62nd IEEE Annual Symposium on Foundations of Computer Science, 2021