Hamiltonian engineering for quantum sensing and quantum simulation

Quantum sensing and quantum simulation are emerging areas in quantum science and technology with broad applications. In this thesis, we explore Hamiltonian engineering techniques to build better quantum sensors and quantum simulators. In quantum sensing, advanced control techniques are required to extract all the information available about the sensing target from the sensor. Unfortunately, one major challenge to implementing the optimal control sequence-which extracts the maximum information-is the clock rate of the (classical) hardware used to control the sensor. To overcome this challenge, we develop a novel control technique inspired by quantum simulation ("quantum interpolation") and achieve an effective six picoseconds sampling rate from the hardware-constrained two nanoseconds. This improved sampling rate enables a higher precision in measuring classical fields and the quantum signal arising from a single nuclear spin.

Name thesis:degree_name

Doctoral

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Nuclear Science and Engineering

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2021

Author dc:creator

• Liu, Yi-Xiang

Advisor dc:contributor.advisor

• Paola Cappellaro.

• Nuclear Science and Engineering.

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/1721.1/130799

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/130799