9
talks
0
committee roles
0
leadership roles
2023–2026
years active
Contributions
QIP QCrypt TQC presenter award · △program ◇steering ○organising □local · filled = chair
Talks
| Title | Conference | Type | Co-authors |
|---|---|---|---|
| A Dobrushin condition for quantum Markov chains: Rapid mixing and conditional mutual information at high temperature | QIP 2026 | regular | Ainesh Bakshi, Ankur Moitra, Ewin Tang |
A central challenge of quantum physics is to understand the structural properties of many-body systems, both in equilibrium and out of equilibrium. For classical systems, we have a unified perspective which connects structural properties of systems at thermal equilibrium to the Markov chain dynamics which mix to them. We lack such a perspective for quantum systems: many of the most fundamental ideas of the modern classical theory are notably absent from our quantum toolkit.
We develop a theory which brings the broad scope and flexibility of the classical theory to quantum Gibbs states at high temperature. At its core is a natural quantum analogue of Dobrushin’s condition; whenever this condition holds, a concise path-coupling argument proves rapid mixing for the corresponding Markovian evolution. The same machinery bridges dynamic and structural properties: rapid mixing yields exponential decay of CMI without restrictions on the size of the probed subsystems, resolving a central question in the theory of open quantum systems. Our key technical insight is an optimal transport viewpoint which couples the quantum dynamics to a linear differential equation, enabling precise control over how local deviations from equilibrium propagate to distant sites. |
|||
| Learning the closest product state | QIP 2025 | plenary_short | Ainesh Bakshi, John Bostanci, William Kretschmer, Zeph Landau, Jerry Li, Ryan O’Donnell, Ewin Tang |
| Structure learning of Hamiltonians from real-time evolution | QIP 2025 | regular | Ainesh Bakshi, Ankur Moitra, ▸Ewin Tang |
| Optimal state learning with any amount of entanglement | QIP 2025 | regular ▸ presenter | Sitan Chen, Jerry Li |
| High-Temperature Gibbs States are Unentangled and Efficiently Preparable | QIP 2025 | invited | Ainesh Bakshi, Ankur Moitra, ▸Ewin Tang |
| Learning quantum Hamiltonians at any temperature in polynomial time | QIP 2024 | invited | ▸Ainesh Bakshi, Ankur Moitra, Ewin Tang |
| Learning quantum Hamiltonians at any temperature in polynomial time | QIP 2024 | regular | ▸Ainesh Bakshi, Ankur Moitra, Ewin Tang |
| Tight Bounds for Quantum State Certification with Incoherent Measurements | QIP 2023 | regular | ▸Sitan Chen, Brice Huang, Jerry Li |
| Tight Bounds for State Tomography with Incoherent Measurements | QIP 2023 | regular | ▸Sitan Chen, Brice Huang, Jerry Li, Mark Sellke |
Collaborators
| Co-author | Joint talks |
|---|---|
| Ainesh Bakshi | 6 |
| Ewin Tang | 6 |
| Ankur Moitra | 5 |
| Jerry Li | 4 |
| Sitan Chen | 3 |
| Brice Huang | 2 |
| John Bostanci | 1 |
| Mark Sellke | 1 |
| Ryan O’Donnell | 1 |
| William Kretschmer | 1 |
| Zeph Landau | 1 |