Private learning implies quantum stability
- Srinivasan Arunachalam
- Yihui Quek
- et al.
- 2021
- NeurIPS 2021
Conference paper
Publications
33 results for Srinivasan Arunachalam
Improved Bounds on Fourier Entropy and Min-entropy
- Srinivasan Arunachalam
- Sourav Chakraborty
- et al.
- 2021
- ACM TOCT
PaperTwo new results about quantum exact learning
- Srinivasan Arunachalam
- Sourav Chakraborty
- et al.
- 2021
- Quantum
PaperSimpler (classical) and Faster (quantum) Algorithms for Gibbs Partition Functions
- Srinivasan Arunachalam
- Vojtech Havlicek
- et al.
- 2021
- INFORMS 2021
TalkA rigorous and robust quantum speed-up in supervised machine learning
- Yunchao Liu
- Srinivasan Arunachalam
- et al.
- 2021
- Nature Physics
PaperSample-efficient learning of interacting quantum systems
- Anurag Anshu
- Srinivasan Arunachalam
- et al.
- 2021
- Nature Physics
PaperCommunication memento: Memoryless communication complexity
- Srinivasan Arunachalam
- Supartha Podder
- 2021
- ITCS 2021
Conference paperSample-efficient learning of quantum many-body systems
- Anurag Anshu
- Srinivasan Arunachalam
- et al.
- 2021
- QIP 2021
TalkQuantum Learning Algorithms Imply Circuit Lower Bounds
- Srinivasan Arunachalam
- Alex B. Grilo
- et al.
- 2021
- QIP 2021
TalkSample-efficient learning of quantum many-body systems
- Anurag Anshu
- Srinivasan Arunachalam
- et al.
- 2020
- FOCS 2020
Conference paper