Solid-state spin-integrated circuits for quantum sensing and control

Spin systems are an increasingly important quantum-sensing platform. In particular, atomic defect centers in diamond called nitrogen-vacancy (NV) centers offer impressive room temperature imaging capabilities for both magnetic fields and temperature. NV-based sensing platforms have found utility in solid-state physics, biological systems, and vector magnetometry. These applications highlight the immense promise of NV quantum sensors. Despite this promise, the use of NV centers within commercial devices remains limited to date, with many impediments to transitioning this platform from the laboratory. This thesis describes the development of solid-state spin-integrated circuits (S3IC) for quantum sensing and control with the overarching goal of creating scalable NV platforms. We present two major experiments that develop S3IC. These expand the application space of NV centers and improve device functionality. The first application was to develop an NV spin microscope capable of wide-field temperature and magnetic field imaging to elucidate functional device behavior at the microscopic scale. The second experiment was integrating the essential components of an NV spin microscope, spin control and detection, with integrated electronics. In this manner, S3IC combines the exceptional sensitivity of NV centers with the robustness and scalability of modern electronic chip-scale platforms. This co-integration of spin systems into integrated electronics shows a potential path for migrating previous proof-of-principal sensing demonstrations into affordable packages that demonstrate both much greater system integration and custom electronic architectures. In short, this work demonstrates advances in NV-ensemble quantum sensing platforms and establishes a foundation for future integration efforts, perhaps inspiring innovations in both application space and the development of new quantum devices.

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

• Foy, Christopher,Ph. D.(Christopher C.)Massachusetts Institute of Technology.

Advisor dc:contributor.advisor

• Dirk R. Englund.

• 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/1721.1/127017

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/127017