Novel Computing – Reversible and Neuromorphic

 

Session ID Wk2EOr2A
Live Discussion Day Tuesday, November 3, 2020
Live Discussion Time 4:45 p.m. – 6:00 p.m., EST

 

Presenting Author   Presentation ID   Presentation Title
Michael Frank   Wk2EOr2A-01   [Invited] Reversible Computing as a Path Forward for Improving Dissipation-Delay Efficiency in Superconducting Computing 
Kevin Osborn   Wk2EOr2A-02   Theory of ballistic reversible digital logic using flux solitons and resonances
Liuqi Yu   Wk2EOr2A-03   Experimental studies of flux solitons in reversible logic gates
Naoki Takeuchi   Wk2EOr2A-04   A reversible 8-bit adder using adiabatic quantum-flux-parametron logic
Taiki Yamae   Wk2EOr2A-05   Design and demonstration of an 8-word by 1-bit reversible quantum-flux-parametron register file
Michael Schneider   Wk2EOr2A-06   Single Flux Quantum Neural Networks
Kenneth Segall   Wk2EOr2A-07   Unsupervised learning in Superconducting Spiking Neural Networks
Emily Toomey   Wk2EOr2A-08   Development of an artificial spiking neuron using superconducting nanowires
Paul Tschirhart   Wk2EOr2A-09   Architecture Considerations for Superconducting Neuromorphic Systems
Graham Rowlands   Wk2EOr2A-10   Superconducting circuits as reservoir computers for high speed data processing