Bulletin of the American Physical Society
2019 Annual Meeting of the APS Four Corners Section
Volume 64, Number 16
Friday–Saturday, October 11–12, 2019; Prescott, Arizona
Session J02: Atomic, Molecular, and Optical Physics II |
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Chair: Preston Jones, ERAU Room: AC1 114 |
Saturday, October 12, 2019 8:00AM - 8:24AM |
J02.00001: Microresonator Optical Frequency Combs Invited Speaker: Tara Drake The invention of optical-frequency combs has transformed the fields of precision metrology, spectroscopy, and electronic/photonic signal generation. Now, a new and incredibly promising platform for frequency combs has emerged---one in which phase coherent combs are generated in nanofabricated ring resonators using quantum nonlinear photonics. I will present the principles behind microresonator combs, their recent implementation in integrated-photonics optical synthesizers and optical clocks, and a new experiment using laser cooling to control the particle-like properties of the comb light itself. [Preview Abstract] |
Saturday, October 12, 2019 8:24AM - 8:36AM |
J02.00002: Quantum tomography of photon number statistics using integrated optical circuits Benjamin Szamosfalvi, Sequoia Ploeg, Hyrum Gunther, Ryan Camacho We propose a chip-scale photonic circuit for photon number state tomography. The circuit consists of conjugate homodyne receivers and implements a protocol recently proposed by Qi, Lougovski and Williams. We characterize the wavelength-dependent scattering parameters of the device and demonstrate the ability to reconstruct the photon number statistics of an unknown quantum state without single photon detectors or knowledge of the phase of the input states or local oscillator. These results may be useful for chip-scale quantum information processing tasks in communications, sensing, and computing. [Preview Abstract] |
Saturday, October 12, 2019 8:36AM - 8:48AM |
J02.00003: Modeling the Effects of Wavenumber Error in IPSII Images Benjamin Whetten, Jarom Jackson, Dallin Durfee Traditional microscopy technology is limited by lenses, which constrain the depth of field and maximum resolution of the image. We are testing an imaging process that avoids these issues by using an interferometer and structured illumination techniques without the use of a lens. This process, called IPSII, is adversely affected by imprecisions in the movements of the mirror mounts that control the interferometer which then produce blur and other inaccuracies in the resulting image. I am modeling this process computationally to better understand the propagation of this error and create a model to predict its effects. By better understanding the effects of this error, I will determine if these imprecisions are the primary limiting factor in the resolution of IPSII images, and if so, how their effects should be minimized. [Preview Abstract] |
Saturday, October 12, 2019 8:48AM - 9:00AM |
J02.00004: Interference Pattern Structured Illumination Imaging Using Acoustical Waves Cayman Rogers, Dallin Durfee Having accomplished structured illumination imaging using the interference pattern of two light waves, our research team would like to take the technique a step further and use sound waves as the source of the initial signal. Much like the use of two light waves, the idea behind this experiment is to project an interference pattern onto an object and use information from the transmission signal to reconstruct the image. The spacial frequency of the fringe pattern may be altered by changing the frequencies of the two speakers. In doing this a number of times, with a wide array of large and small frequencies, one can theoretically create an intelligible signal to produce a sharp image of the one-dimensional object. While we have not yet succeeded in creating this image, there is a lot of potential in this idea and we plan to continue refining our technique in order to provide a clear one-dimensional and, eventually, a two-dimensional image. [Preview Abstract] |
Saturday, October 12, 2019 9:00AM - 9:12AM |
J02.00005: DFT: the lore is wrong Jeremy Jorgensen Density functional theory (DFT) is the most popular and practical approach to materials simulation, with tens of thousands of articles published on the topic each year over the past decade. DFT codes calculate the charge density that minimizes the total energy via a root finding algorithm. Smoothing methods are supposed to improve the robustness of this algorithm for metals. DFT codes also implement higher order interpolation over tetrahedron and smoothing as a means of improving the computational efficiency of metals. In this talk, we will discuss tests we have performed to quantify the effectiveness of smoothing and tetrahedron methods in achieving these purposes for which they were developed. [Preview Abstract] |
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