News & Events
Compressive Quantum Sensing
Dr. John Howell, UofR Physics Department
Thursday, April 10, 2014
3:30 p.m.4:30 p.m.
Abstract:
Compressive
sensing utilizes sparsity to realize efficient image reconstruction. It is a
valuable processing technique when cost, power, technology or computational
overhead are limited or high. In the quantum domain technology usually limits
efficient acquisition of weak or fragile signals. I will discuss the basics of
information theory, compression, and compressive sensing. I will then discuss
our recent work in compressive sensing. The topics of discussion include
low-flux laser Radar, photonic phase transitions, high resolution biphoton
ghost imaging, Ghost object tracking, 3D object tracking and high dimensional
entanglement characterization. I will touch lightly on our current work of
rapid wavefunction reconstruction and wavefront sensing. As an example (shown
below), we were able efficiently and rapidly reconstruct high dimensional joint
probability functions of biphotons in momentum and position. With conventional
raster scanning this process would take approximately a year, but using
double-pixel compressive sensing, the pictures were acquired in a few hours
with modest flux.