6 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…
Scalable platform enabling reservoir computing with nanoporous oxide memristors for image recognition and time series prediction
Joshua Donald, Ben A. Johnson, Amir Mehrnejat +5
Typical mammal brains have some form of random connectivity between neurons. Reservoir computing, a neural network approach, uses random weights within its processing layer along w…
Stochastic Dynamics of Diffusive Memristor Blocks for Neuromorphic Computing
Wendy Otieno, Alex Gabbitas, Debi Pattnaik +3
Biological systems use neural circuits to integrate input information and produce outputs. Synaptic convergence, where multiple neurons converge their inputs onto a single downstre…
Topological Quenching of Noise in a Free-Running Moebius Microcomb
Debayan Das, Antonio Cutrona, Andrew C. Cooper +10
Microcombs require ultralow-noise repetition rates to enable next-generation applications in metrology, high-speed communications, microwave photonics, and sensing, where spectral…
Minimal Quantum Reservoirs with Hamiltonian Encoding
Gerard McCaul, Juan Sebastian Totero Gongora, Wendy Otieno +3
We investigate a minimal architecture for quantum reservoir computing based on Hamiltonian encoding, in which input data is injected via modulation of system parameters rather than…
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…