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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.

Prof Zubin Jacob gave a plenary talk at the physics of quantum electronics conference. He spoke about the recent theory work on Atomistic Maxwell Hamiltonians and the topological optical-N insulator.

Our first speaker was a pioneer in the field of theoretical quantum optics - Prof. John Sipe from the University of Toronto. He talked about the response of solids to incident electromagnetic fields which is often heuristically described in terms of macroscopic polarization and magnetization fields...

Published in PR Applied, our recent work develops the theoretical and computational framework to analyze the spin angular momentum of thermal radiation from bodies with nonuniform temperature profiles. By considering a sample problem of a long silica wire held under a temperature gradient within its...

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...