4 papers
Leveraging Metrologically Useful States in Quantum Reservoir Networks
Erik L. Connerty, Margarite LaBorde, Ethan N. Evans
Interest in using quantum computers for the purpose of predicting chaotic partial differential equations (PDEs) has been growing with the advent of newer low-error quantum computer…
Controllable Quantum Memory Capacity in Quantum Reservoir Networks with Tunable partial-SWAPs
Erik L. Connerty, Ethan N. Evans
In the field of quantum reservoir computing (QRC), many different computational models and architectures have been proposed. From these models, we identify feedback-based models --…
Quantum Observers: A NISQ Hardware Demonstration of Chaotic State Prediction Using Quantum Echo-state Networks
Erik L. Connerty, Ethan N. Evans, Gerasimos Angelatos +1
Recent advances in artificial intelligence have highlighted the remarkable capabilities of neural network (NN)-powered systems on classical computers. However, these systems face s…
Predicting Chaotic Systems with Quantum Echo-state Networks
Erik Connerty, Ethan Evans, Gerasimos Angelatos +1
Recent advancements in artificial neural networks have enabled impressive tasks on classical computers, but they demand significant computational resources. While quantum computing…