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Hamiltonian engineering for quantum sensing and quantum simulation

Y.-X. Liu

Ph.D. thesis, Massachusetts Institute of Technology (2021)

Abstract

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.

BibTeX

@PhdThesis{Liu21t, author = {Liu, Yi-Xiang}, school = {Massachusetts Institute of Technology}, title = {Hamiltonian engineering for quantum sensing and quantum simulation}, year = {2021}, }