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To become more pervasive in daily life, quantum technology needs to better detect single particles of light, called photons, carrying quantum information. The problem is that each photon is a very weak signal, making it difficult for measurement devices to efficiently detect them. Purdue University engineers have proposed a new quantum resource that could help design the next generation of single-photon detectors.

Quantum causality is an emerging field of study which has the potential to greatly advance our understanding of quantum systems. In this paper, we put forth a theoretical framework for merging quantum information science and causal inference by exploiting entropic principles. For this purpose, we...

Our recent paper titled "Why are Thermal Images Blurry?" has been selected to be featured as a Spotlight on Optics by Optica Publishing Group. Checkout the spotlight at: https://opg.optica.org/spotlight/summary.cfm?id=545756 Description of the spotlight from Optica Publishing Group: "Spotlight on...

Replacing traditional computer chip components with light-based counterparts will eventually make electronic devices faster due to the wide bandwidth of light. A new protective metamaterial "cladding" prevents light from leaking out of the very curvy pathways it would travel in a computer chip.

Researchers at the University of Alberta, Canada, have proposed a new approach to confining light at subdiffraction wavelengths, using transparent metamaterials—without creating heat or losing data, and with dramatically reduced crosstalk.

Zubin Jacob gives invited talk at Rice University quantum seminar “New directions in quantum sensing: Photonic spin density and atomistic topological electrodynamics”. Nitrogen vacancy (NV) centers in diamond have emerged as promising room temperature quantum sensors for probing condensed matter...

Prof. Stephan Haas discussed how the many-body excitation spectrum of topological insulators is affected by the presence of long-range Coulomb interactions. In the one-dimensional Su-Schrieffer-Heeger model and its mirror-symmetric variant, strongly localized plasmonic excitations are observed which...

In our recent work in Optics Express , we discover the quantum analog of the well-known classical maximum power transfer theorem, typically used in classical circuit design. By developing a unified framework, from the Lindblad master equation and describing power delivery in dissipative quantum...

There is a long way to go before quantum information (QI) can have a real-world impact on machine learning applications. However, in the short term, QI presents a principled approach to unravel performance bounds and find hidden quantum-classical parallels for widely used machine learning algorithms...

Congratulations to Mohammad Ali Javidian on the selection of his paper titled “Tensor Rings for Learning Circular Hidden Markov Models” which was virtually presented at the second Workshop on Quantum Tensor Networks in Machine Learning.