336 citations · 1.7k across the 63 of their papers we have counts for
65 papers
A Single Atom in Front of a Mirror is a Universal Reservoir Computer
Peter J. Ehlers, Phi Hung Nguyen, Kanu Sinha +4
Universal approximation in reservoir computing is typically associated with a class of reservoirs. We show that universality can be associated with a single reservoir, considering…
Projection Operator Stochastic Equations for Non-Markovian Quantum Systems Under Continuous Measurement-Based Feedback
H. I. Nurdin
Quantum Markov models have been successfully used to accurately model various physical quantum systems in fields such as quantum optics, optomechanics and superconducting circuits…
A Solvable Molecular Switch Model for Stable Temporal Information Processing
H. I. Nurdin, C. A. Nijhuis
This paper studies an input-driven one-state differential equation model initially developed for an experimentally demonstrated dynamic molecular switch that switches like synapses…
Physical Reduced Stochastic Equations for Continuously Monitored Non-Markovian Quantum Systems with a Markovian Embedding
Hendra I. Nurdin
An effective approach to modeling non-Markovian quantum systems is to embed a principal (quantum) system of interest into a larger quantum system. A widely employed embedding is on…
Minimalistic and Scalable Quantum Reservoir Computing Enhanced with Feedback
Chuanzhou Zhu, Peter J. Ehlers, Hendra I. Nurdin +1
Quantum Reservoir Computing (QRC) leverages quantum systems to perform complex computational tasks with exceptional efficiency and reduced energy consumption. We introduce a minima…
Stochastic Reservoir Computers
Peter J. Ehlers, Hendra I. Nurdin, Daniel Soh
Reservoir computing is a form of machine learning that utilizes nonlinear dynamical systems to perform complex tasks in a cost-effective manner when compared to typical neural netw…