Private learning implies quantum stability
- Srinivasan Arunachalam
- Yihui Quek
- et al.
- 2021
- NeurIPS 2021
Publications
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83 results for Quantum Machine Learning
Quantum boosting
- Srinivasan Arunachalam
- Reevu Maity
- 2020
- ICML 2020
- Topic
Hybrid quantum-classical graph neural networks for tumor classification in digital pathology
- Anupama Ray
- Dhiraj Madan
- et al.
- 2024
- QCE 2024
Quantum Theory and Application of Contextual Optimal Transport
- Nicola Mariella
- Albert Akhriev
- et al.
- 2024
- ICML 2024
Topological Data Analysis on Noisy Quantum Computers
- Ismail Akhalwaya
- Shashanka Ubaru
- et al.
- 2024
- ICLR 2024
On the role of entanglement and statistics in learning
- Srinivasan Arunachalam
- Vojtech Havlicek
- et al.
- 2023
- NeurIPS 2023
Stochastic Approximation of Variational Quantum Imaginary Time Evolution
- 2023
- QCE 2023
Distributed Coordinate Descent Algorithm for Variational Quantum Classification
- Izuho Koyasu
- Raymond Harry Putra Rudy
- et al.
- 2023
- QCE 2023
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra
- Nadiia Chepurko
- Kenneth L. Clarkson
- et al.
- 2022
- ICML 2022
Fault-tolerance for a universal non-Abelian topological quantum computer at finite temperature
- Alexis Schotte
- Lander Burgelman
- et al.
- 2022
- APS March Meeting 2022