5 papers
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…
A neural processing approach to quantum state discrimination
Saeed A. Khan, Fangjun Hu, Gerasimos Angelatos +2
Although linear quantum amplification has proven essential to the processing of weak quantum signals, extracting higher-order quantum features such as correlations in principle dem…
Overcoming the Coherence Time Barrier in Quantum Machine Learning on Temporal Data
Fangjun Hu, Saeed A. Khan, Nicholas T. Bronn +4
Practical implementation of many quantum algorithms known today is limited by the coherence time of the executing quantum hardware and quantum sampling noise. Here we present a mac…
Physical reservoir computing using finitely-sampled quantum systems
Saeed Ahmed Khan, Fangjun Hu, Gerasimos Angelatos +1
The paradigm of reservoir computing exploits the nonlinear dynamics of a physical reservoir to perform complex time-series processing tasks such as speech recognition and forecasti…