Superconducting nanowire electronics for alternative computing

With traditional computing systems struggling to meet the demands of modern technology, new approaches to both hardware and architecture are becoming increasingly critical. In this work, I develop the foundation of a power-efficient alternative computing system using superconducting nanowires. Although traditionally operated as single photon detectors, superconducting nanowires host a suite of attractive characteristics that have recently inspired their use in digital circuit applications for amplification, addressing, and memory. Here, I take advantage of the electrothermal feedback that occurs in resistively shunted nanowires to develop two new technologies: (1) A multilevel memory cell made by incorporating a shunted nanowire into a superconducting loop, allowing flux to be controllably added and stored; and (2) An artificial neuron for use in spiking neural networks, consisting of two nanowire-based relaxation oscillators acting analogously to the two ion channels in a biological neuron. By harnessing the intrinsic dynamics of superconducting nanowires, these devices offer competitive energy performance and a step towards bringing memory and processing closer together on the same platform.

Name thesis:degree_name

Doctoral

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2020

Author dc:creator

• Toomey, Emily.

Advisor dc:contributor.advisor

• Karl K. Berggren.

• Electrical Engineering and Computer Science.

Statement dc:rights

• MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/127003

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/127003