Novel Computing – Reversible and Neuromorphic

 

Session ID 3EOr2A
Session Day Wednesday, July 1, 2020
Session Time 3:45 p.m. – 6:30 p.m.

 

Presentation time   Presenting Author   Presentation ID   Presentation Title
3:45 – 4:15 p.m.   Michael Frank   3EOr2A-01   [Invited] Reversible Computing as a Path Forward for Improving Dissipation-Delay Efficiency in Superconducting Computing 
4:15 – 4:30 p.m.   Kevin Osborn   3EOr2A-02   Theory of ballistic reversible digital logic using flux solitons and resonances
4:30 – 4:45 p.m.   Liuqi Yu   3EOr2A-03   Experimental studies of flux solitons in reversible logic gates
4:45 – 5:00 p.m.   Naoki Takeuchi   3EOr2A-04   A reversible 8-bit adder using adiabatic quantum-flux-parametron logic
5:00 – 5:15 p.m.   Taiki Yamae   3EOr2A-05   Design and demonstration of an 8-word by 1-bit reversible quantum-flux-parametron register file
5:15 – 5:30 p.m.   Michael Schneider   3EOr2A-06   Single Flux Quantum Neural Networks
5:30 – 5:45 p.m.   Kenneth Segall   3EOr2A-07   Unsupervised learning in Superconducting Spiking Neural Networks
5:45 – 6:00 p.m.   Emily Toomey   3EOr2A-08   Development of an artificial spiking neuron using superconducting nanowires
6:00 – 6:15 p.m.   Paul Tschirhart   3EOr2A-09   Architecture Considerations for Superconducting Neuromorphic Systems
6:15 – 6:30 p.m.   Graham Rowlands   3EOr2A-10   Superconducting circuits as reservoir computers for high speed data processing