205 citations · 647 across the 28 of their papers we have counts for
27 papers
A Quantum Reservoir Computing Approach to Quantum Stock Movement Forecasting in Quantum-Invested Markets
Wendy Otieno, Alexandre Zagoskin, Alexander G. Balanov +2
We present a quantum reservoir computing (QRC) framework based on a small-scale quantum system comprising at most six interacting qubits, designed for nonlinear financial time-seri…
Memorisation and forgetting in a learning Hopfield neural network: bifurcation mechanisms, attractors and basins
Adam E. Essex, Natalia B. Janson, Rachel A. Norris +1
Despite explosive expansion of artificial intelligence based on artificial neural networks (ANNs), these are employed as "black boxes'', as it is unclear how, during learning, they…
Stochastic Instabilities of the Diffusive Memristor
Amir Akther, Debi Pattnaik, Yury Ushakov +3
Recently created diffusive memristors have garnered significant research interest owing to their distinctive capability to generate a diverse array of spike dynamics which are simi…
Roadmap to Neuromorphic Computing with Emerging Technologies
Adnan Mehonic, Daniele Ielmini, Kaushik Roy +50
The roadmap is organized into several thematic sections, outlining current computing challenges, discussing the neuromorphic computing approach, analyzing mature and currently util…
Hysteresis and Self-Oscillations in an Artificial Memristive Quantum Neuron
Finlay Potter, Alexandre Zagoskin, Sergey Saveliev +1
We theoretically study an artificial neuron circuit containing a quantum memristor in the presence of relaxation and dephasing. The charge transport in the quantum element is reali…
Stress-induced Artificial neuron spiking in Diffusive memristors
Debi Pattnaik, Yash Sharma, Sergey Saveliev +4
Diffusive memristors owing to their ability to produce current spiking when a constant or slowly changing voltage is applied are competitive candidates for the development of artif…