2 papers
quant-ph2025
Learning Equivariant Maps with Variational Quantum Circuits
Zachary P. Bradshaw, Ethan N. Evans, Matthew Cook +1
Geometric quantum machine learning uses the symmetries inherent in data to design tailored machine learning tasks with reduced search space dimension. The field has been well-studi…
quant-ph2025
Learning with SASQuaTCh: a Novel Variational Quantum Transformer Architecture with Kernel-Based Self-Attention
Ethan N. Evans, Matthew Cook, Zachary P. Bradshaw +1
The recent exploding growth in size of state-of-the-art machine learning models highlights a well-known issue where exponential parameter growth, which has grown to trillions as in…