4 papers
Efficiently and Reliably Measuring Information Processing Capacity in Dynamical Systems via Kernels
Alessio Benavoli, Felix Binder, Cangxiong Chen
Information Processing Capacity (IPC) is a powerful system-agnostic metric for quantifying a dynamical system's computational capability and is widely used in quantum reservoir com…
Constraint- and Score-Based Nonlinear Granger Causality Discovery with Kernels
Fiona Murphy, Alessio Benavoli
Kernel-based methods are used in the context of Granger Causality to enable the identification of nonlinear causal relationships between time series variables. In this paper, we sh…
Quantum Wiener architecture for quantum reservoir computing
Alessio Benavoli, Felix Binder
This work focuses on quantum reservoir computing and, in particular, on quantum Wiener architectures (qWiener), consisting of quantum linear dynamic networks with weak continuous m…
Gaussian Process with dissolution spline kernel
Fiona Murphy, Marina Navas Bachiller, Deirdre M. D'Arcy +1
In-vitro dissolution testing is a critical component in the quality control of manufactured drug products. The statistic is the standard for assessing similarity bet…