12
talks
2
committee roles
0
leadership roles
2019–2026
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, Allen Liu, Ankur Moitra |
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. |
|||
|
Quantum oracles, weak and strong ↗
|
QIP 2026 | regular | John Wright, Mark L. Zhandry |
What does it mean to have access to a subroutine? In quantum computing, the usual answer is that, if we can perform a circuit implementing a unitary $U$, we can also implement its variants $U^\dagger$, $\controlled U$, and $\controlled U^\dagger$ equally as efficiently. These four operations are the "usual" suite of oracles we mean when we model access to a subroutine. We interrogate these choices and investigate how changing our access model to $U$ affects the tractability of its computational problems.
This submission is a collection of three preprints on possible models of oracle access.
1. In the most limited setting, we only have access to $U$: this is the natural model for metrology, sensing, learning, and other experimental contexts. We show that, unlike in the usual model, the generic Grover speedups for search and estimation, ubiquitous throughout quantum algorithms, cannot be achieved in this setting.
2. In the usual model as well as in general, we show that controlled unitary oracles have a surprisingly limited role. We prove they are not helpful for a large class of problems: problems which are invariant up to global phase, i.e. problems which are a about $U$ as a unitary channel.
3. In the full setting, we are given a circuit implementing $U$: this model is natural for algorithms on scalable quantum computers. We show that the usual suite of oracles is not enough to characterize the strength of this model, by giving a natural problem which cannot be solved efficiently without queries to $U^*$ or $U^T$---which can be implemented from any circuit for $U$.
Our proofs are simple and use two main techniques: the compressed oracle method and a lifting principle which we call the "acorn trick". |
|||
| Learning the closest product state | QIP 2025 | plenary_short | Ainesh Bakshi, John Bostanci, William Kretschmer, Zeph Landau, Jerry Li, Allen Liu, Ryan O’Donnell |
| Structure learning of Hamiltonians from real-time evolution | QIP 2025 | regular ▸ presenter | Ainesh Bakshi, Allen Liu, Ankur Moitra |
| High-Temperature Gibbs States are Unentangled and Efficiently Preparable | QIP 2025 | invited ▸ presenter | Ainesh Bakshi, Allen Liu, Ankur Moitra |
| Learning quantum Hamiltonians at any temperature in polynomial time | QIP 2024 | invited | ▸Ainesh Bakshi, Allen Liu, Ankur Moitra |
| Query-optimal estimation of unitary channels in diamond distance | QIP 2024 | regular | ▸Jeongwan Haah, Robin Kothari, Ryan O'Donnell |
| Learning quantum Hamiltonians at any temperature in polynomial time | QIP 2024 | regular | ▸Ainesh Bakshi, Allen Liu, Ankur Moitra |
| Optimal learning of quantum Hamiltonians from high-temperature Gibbs states | QIP 2022 | regular ▸ presenter | Jeongwan Haah, Robin Kothari |
| Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning | QIP 2020 | regular | Nai-Hui Chia, Andras Gilyen, Tongyang Li, Han-Hsuan Lin, Chunhao Wang |
| Quantum-inspired classical algorithms for recommendation systems, principal component analysis, and supervised clustering | QIP 2020 | plenary_long ▸ presenter | — |
| Ewin Tang: Building a classical framework to analyze quantum machine learning speedups | TQC 2019 | invited ▸ presenter | — |
Committee service
| Conference | Committee | Position | Title |
|---|---|---|---|
| QIP 2022 | PC | member | — |
| QIP 2020 | PC | member | — |
Collaborators
| Co-author | Joint talks |
|---|---|
| Ainesh Bakshi | 6 |
| Allen Liu | 6 |
| Ankur Moitra | 5 |
| Jeongwan Haah | 2 |
| Robin Kothari | 2 |
| Andras Gilyen | 1 |
| Chunhao Wang | 1 |
| Han-Hsuan Lin | 1 |
| Jerry Li | 1 |
| John Bostanci | 1 |
| John Wright | 1 |
| Mark L. Zhandry | 1 |
| Nai-Hui Chia | 1 |
| Ryan O'Donnell | 1 |
| Ryan O’Donnell | 1 |
| Tongyang Li | 1 |
| William Kretschmer | 1 |
| Zeph Landau | 1 |