From Quantum Computation to Quantum Sensing, Imaging, and Metrology
Abstract
I. STATEMENT OF WORK: LSU will carry out theoretical, numerical, and design research that exploits the synergistic connections between quantum information processing and quantum metrology, in order to develop new paradigms of quantum sensing, imaging, and metrology, with applications to quantum technologies of direct benefit to the Army warfighter. LSU will build on our 30 years of previous work in this field to develop models and design tools for characterizing and building quantum sensors and imagers. II. BASIC APPROACHES: LSU has developed a suite of quantum analytical, numerical, and design tools and methodologies to study multi-party coherent and quantum-entangled systems, particularly photonic and atomic systems, for applications to quantum sensing, imaging, and metrology. LSU will divide the program into the exploitation of single or few photons, produced by single photon guns or second order nonlinearities and squeezed and other Gaussian light sources produced in third-order nonlinearities found in atomic vapor cells. III. STATEMENT OF SCIENTIFIC OBJECTIVES: LSU will design and model quantum computational systems, such as circuit model and linear optical, that operate on multi-particle quantum states. We will use these tools to study novel quantum interferometers and deploy error correction and mitigation techniques Ñ developed for use in quantum computers, to improve the signal-to-noise in quantum sensors and the resolution in quantum imagers. LSU will deploy recent results in boson-sampling-inspired quantum sensors and imagers, dynamical decoupling noise mitigation strategies, and multimode nonclassical light, for applications to sensors, such as optical quantum magnetometers, and imagers such as quantum microscopes, thermal imagers, and LIDAR systems. IV. METHODS TO BE EMPLOYED: A. General Theory: LSU will study the limits to known theories of quantum metrology and how they relate. Particularly we will consider limits to quantum Fisher information, reconsider Bayesian analysis, investigate issues with number of sampling measurements, explore the tradeoff between resources and fundamental quantum limits, and develop metrics that go beyond the limited definition of sensitivity as well as the classical definition of image resolution. B. Imaging and Sensing with Single or Few Photons: LSU will exploit advances in few-, single-, and entangled-photon production to develop protocols for multi-parameter information, binary-detection schemes, and single-photon tomography. C. Imaging and Sensing with Gaussian States: LSU will explore super-resolution and super-sensitivity with squeezed multi-mode states of light, improved thermal state imaging of faint objects, and improvements in LIDAR via quantum thermal noise reduction utilizing higher quantum coherence functions. V. SIGNIFICANCE TO THE ADVANCEMENT OF KNOWLEDGE: Computation, imaging, and sensing are primary technologies that are deployed by in classical networks. Classical approaches have reached the Rayleigh limit of resolution for imaging, the shotnoise limit for sensing, and computational limits for certain hard problems. It is known that by exploiting the quantum advantage these limits can be beaten and so LSU will develop and design a framework for exploiting these quantum technologies for good of all humankind.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 11, 2018
- Source ID
- W911NF1710541
Entities
People
- Jonathan Dowling
Organizations
- Army Contracting Command
- Louisiana State University
- United States Army