9 citations · 10 across the 4 of their papers we have counts for
4 papers · 1 filter
Quantum Spectral Model: Data Reuploading with Input-Conditioned Frequency Support
Peiyong Wang, Udaya Parampalli, Casey R. Myers
A central design principle in modern machine learning and artificial intelligence is to align a model's inductive bias with the structure of its input data. For matrix-valued input…
Fine-Tuning Large Language Models for Quantum Reasoning
Katherine Ip, Casey R. Myers, Udaya Parampalli +2
Large language models (LLMs) exhibit abilities beyond natural language modelling and text generation. Recent advances in their reasoning capabilities have spurred interest in apply…
Let the Quantum Creep In: Designing Quantum Neural Network Models by Gradually Swapping Out Classical Components
Peiyong Wang, Casey. R. Myers, Lloyd C. L. Hollenberg +1
Artificial Intelligence (AI), with its multiplier effect and wide applications in multiple areas, could potentially be an important application of quantum computing. Since modern A…
Quantum Hamiltonian Embedding of Images for Data Reuploading Classifiers
Peiyong Wang, Casey R. Myers, Lloyd C. L. Hollenberg +1
When applying quantum computing to machine learning tasks, one of the first considerations is the design of the quantum machine learning model itself. Conventionally, the design of…