Exponential Separations Between Learning With and Without Quantum Memory. - Sitan Chen; Jordan Cotler; Hsin-Yuan Huang; Jerry Li 001 (FOCS, 2021)

A Hierarchy for Replica Quantum Advantage. - Sitan Chen; Jordan Cotler; Hsin-Yuan Huang; Jerry Li 001 (CoRR, 2021)

Quantum advantage in learning from experiments. - Hsin-Yuan Huang; Michael Broughton; Jordan Cotler; Sitan Chen; Jerry Li 001; Masoud Mohseni; Hartmut Neven; Ryan Babbush; Richard Kueng; John Preskill; Jarrod R. McClean (CoRR, 2021)

Revisiting dequantization and quantum advantage in learning tasks. - Jordan Cotler; Hsin-Yuan Huang; Jarrod R. McClean (CoRR, 2021)

The Complexity of NISQ. - Sitan Chen; Jordan Cotler; Hsin-Yuan Huang; Jerry Li 001 (CoRR, 2022)

Hardware-efficient learning of quantum many-body states. - Katherine Van Kirk; Jordan Cotler; Hsin-Yuan Huang; Mikhail D. Lukin (CoRR, 2022)

Analyzing Populations of Neural Networks via Dynamical Model Embedding. - Jordan Cotler; Kai Sheng Tai; Felipe Hernández 004; Blake Elias; David Sussillo (CoRR, 2023)

Renormalizing Diffusion Models. - Jordan Cotler; Semon Rezchikov (CoRR, 2023)

Computational Dynamical Systems. - Jordan Cotler; Semon Rezchikov (FOCS, 2024)