no code implementations • 11 Aug 2022 • Ian Convy, K. Birgitta Whaley
We also introduce a new type of tensor network model that is explicitly trained on only a small subset of interaction degrees, and find that these models are able to match or even outperform the full models using only a fraction of the exponential feature space.
2 code implementations • 26 Feb 2020 • Yulong Dong, Xiang Meng, K. Birgitta Whaley, Lin Lin
Quantum signal processing (QSP) is a powerful quantum algorithm to exactly implement matrix polynomials on quantum computers.
Quantum Physics Optimization and Control Computational Physics
no code implementations • 30 Mar 2018 • William Huggins, Piyush Patel, K. Birgitta Whaley, E. Miles Stoudenmire
Machine learning is a promising application of quantum computing, but challenges remain as near-term devices will have a limited number of physical qubits and high error rates.