12 citations · 53 across the 37 of their papers we have counts for
3 papers · 1 filter
A Catalyst Framework for the Quantum Linear System Problem via the Proximal Point Algorithm
Junhyung Lyle Kim, Nai-Hui Chia, Anastasios Kyrillidis
Solving systems of linear equations is a fundamental problem, but it can be computationally intensive for classical algorithms in high dimensions. Existing quantum algorithms can a…
Better Schedules for Low Precision Training of Deep Neural Networks
Cameron R. Wolfe, Anastasios Kyrillidis
Low precision training can significantly reduce the computational overhead of training deep neural networks (DNNs). Though many such techniques exist, cyclic precision training (CP…
Grover-QAOA for 3-SAT: Quadratic Speedup, Fair-Sampling, and Parameter Clustering
Zewen Zhang, Roger Paredes, Bhuvanesh Sundar +5
The SAT problem is a prototypical NP-complete problem of fundamental importance in computational complexity theory with many applications in science and engineering; as such, it ha…