Develop better quantum sensors and simulators with solid state spins
Tuesday, November 8, 2022
11 a.m. – 11:45 a.m. ET
>>Register for this Zoom webinar.
Guoqing Wang, PhD candidate
Nuclear Science and Engineering
Quantum sensors, such as spin defects in diamond, have achieved excellent performance by combining high sensitivity with spatial resolution. Unfortunately, these sensors can only detect signal fields with frequency in a few accessible ranges (a narrow window around the sensors’ resonance frequency), and extracting vectorial information usually satisfies the sensor's nanoscale spatial resolution.
In this talk, Wang will introduce recent work on sensing arbitrary-frequency vector signals by using the sensor qubit as a quantum frequency mixer. The technique leverages nonlinear effects in periodically driven (Floquet) quantum systems to achieve quantum frequency mixing of the signal and an applied bias AC field. The frequency-mixed field can be detected using well-developed sensing techniques such as Rabi and CPMG.
In addition to enhancing the sensing performance by mediating spin transitions, the synthetic Floquet energy levels can improve the capabilities of quantum simulators, which is reported in another of Wang and his colleagues' work. By implementing modulated driving and performing projective measurements (generalized Rabi oscillation), they can engineer and characterize dynamical symmetries in time domain. In summary, Wang will discuss how their contributions are paving the way for building more powerful quantum sensors and simulating more interesting phases.
Attendees can join and participate in the series via Zoom.