Jordan Cotler

14 papers A* 2Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Noisy Quantum Learning Theory.
CoRR
Jordan Cotler, Weiyuan Gong, Ishaan Kannan
2025 J jnl
Quantum Probe Tomography.
CoRR
Sitan Chen, Jordan Cotler, Hsin-Yuan Huang
2025 J jnl
Self-replication and Computational Universality.
CoRR
Jordan Cotler, Clément Hongler, Barbora Hudcová
2024 A* conf
Computational Dynamical Systems.
FOCS
Jordan Cotler, Semon Rezchikov
2024 J jnl
Computational Dynamical Systems.
CoRR
Jordan Cotler, Semon Rezchikov
2023 J jnl
Analyzing Populations of Neural Networks via Dynamical Model Embedding.
CoRR
Jordan Cotler, Kai Sheng Tai, Felipe Hernández, Blake Elias, David Sussillo
2023 J jnl
Renormalizing Diffusion Models.
CoRR
Jordan Cotler, Semon Rezchikov
2022 J jnl
Hardware-efficient learning of quantum many-body states.
CoRR
Katherine Van Kirk, Jordan Cotler, Hsin-Yuan Huang, Mikhail D. Lukin
2022 J jnl
The Complexity of NISQ.
CoRR
Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, Jerry Li
2021 J jnl
A Hierarchy for Replica Quantum Advantage.
CoRR
Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, Jerry Li
2021 A* conf
Exponential Separations Between Learning With and Without Quantum Memory.
FOCS
Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, Jerry Li
2021 J jnl
Exponential separations between learning with and without quantum memory.
CoRR
Sitan Chen, Jordan Cotler, Hsin-Yuan Huang, Jerry Li
2021 J jnl
Quantum advantage in learning from experiments.
CoRR
Hsin-Yuan Huang, Michael Broughton, Jordan Cotler, Sitan Chen, Jerry Li, Masoud Mohseni, Hartmut Neven, Ryan Babbush, Richard Kueng, John Preskill, Jarrod R. McClean
2021 J jnl
Revisiting dequantization and quantum advantage in learning tasks.
CoRR
Jordan Cotler, Hsin-Yuan Huang, Jarrod R. McClean