Event program

UNLV Undergraduates from all departments, programs and colleges participated in a campus-wide symposium on April 16, 2011. Undergraduate posters from all disciplines and also oral presentations of research activities, readings and other creative endeavors were exhibited throughout the festival

Event program

UNLV Undergraduates from all departments, programs and colleges participated in a campus-wide symposium on April 16, 2011. Undergraduate posters from all disciplines and also oral presentations of research activities, readings and other creative endeavors were exhibited throughout the festival

Novel systems and tools for quantum spintronics

For quantum technologies to develop in the future, we need to create and manipulate systems of increasing complexity. Consequently, a number of challenges must be overcome when it comes to controlling, calibrating, and validating quantum states and their dynamics. There is no doubt that a quantum computer will be the only way to simulate large-scale quantum systems fully; however, classical characterisation and optimisation methods will continue to play a critical role in the process. In this thesis, we look at one such adaptive method of characterising the dynamics of a quantum system. We provide theoretical and experimental results on the study of {T1, T∗2, T2} for a single qubit. We also provide results for the case of multiparameter estimation and finish the discussion on adaptive estimation with an experiment on frequency estimation via Ramsey measurement. Spin-based quantum emitters have shown great promise to be the ideal platforms for quantum applications, particularly quantum networking. However, most of these suffer from large inhomogeneous broadening and emit outside the telecom band. In the second part of this thesis, we look at optical, electronic and charge state properties of vanadium (V) defect in SiC with the goal of its use in quantum networking applications owing to O-band emission and ultra-narrow inhomogeneous broadening

Bayesian estimation for quantum sensing in the absence of single-shot detection

Quantum information protocols, such as quantum error correction and quantum phase estimation, have been widely used to enhance the performance of quantum sensors. While these protocols have relied on single-shot detection, in most practical applications only an averaged readout is available, as in the case of room-temperature sensing with the electron spin associated with a nitrogen-vacancy center in diamond. Here, we theoretically investigate the application of the quantum phase estimation algorithm for high dynamic-range magnetometry, in the case where single-shot readout is not available. We show that, even in this case, Bayesian estimation provides a natural way to use the available information in an efficient way. We apply Bayesian analysis to achieve an optimized sensing protocol for estimating a time-independent magnetic field with a single electron spin associated to a nitrogen-vacancy center at room temperature and show that this protocol improves the sensitivity over previous protocols by more than a factor of 3. Moreover, we show that an extra enhancement can be achieved by considering the timing information in the detector clicks.Comment: 7 pages + 2 pages supplementary, 5 figures, In the updated version we have added updating the probability after every single measurement. Comments are welcom