7 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…
Quantum entanglement provides a competitive advantage in adversarial games
Peiyong Wang, Kieran Hymas, James Quach
Whether uniquely quantum resources confer advantages in fully classical, competitive environments remains an open question. Competitive zero-sum reinforcement learning is particula…
Towards Real-time Control of a CartPole System on a Quantum Computer
Nguyen Truong Thu Ngo, Väinö Mehtola, Jérome Lenssen +4
The application of quantum reinforcement learning (QRL) to real-time control systems faces significant challenges regarding hardware latency, noise susceptibility, and learning con…
Benchmarking Swarm Optimization Algorithms for Parameter Initialization in the Quantum Approximate Optimization Algorithm
Shashank Sanjay Bhat, Peiyong Wang, Udaya Parampalli
The Quantum Approximate Optimization Algorithm (QAOA) is a prominent variational algorithm for solving combinatorial optimization problems such as the Max Cut problem. A key challe…
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…