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# ACMD Seminar: Optimal Quantum Sensing

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Alexey Gorshkov*Quantum Measurement Division, PML, NIST and Fellow of the Joint Quantum Institute and of the Joint Center for Quantum Information and Computer Science*

Tuesday, October 30, 15:00 - 16:00	Building 101 Lecture Room D	Gaithersburg

Tuesday, October 30, 13:00 - 14:00	Building 1 Room 4072	Boulder

**Host:** Wesley Griffin

**Abstract:** Entangling quantum sensors, such as magnetometers, can dramatically increase their sensitivity. In this talk, we will first show how entanglement in a network of quantum sensors can be used to optimally measure a spatially inhomogeneous field. We will then present a fast protocol for the preparation of the required entangled state in an array of dipoles. We will also mention applications of this fast protocol to quantum computing and to the preparation of more exotic -- so-called topological -- entangled states. Finally, if time allows, we will put this work in the context of a broader quest to understand and control many-body -- that is, large and interacting -- quantum systems.

**Bio:** Alexey Gorshkov received his A.B. and Ph.D. degrees from Harvard in 2004 and 2010, respectively. In 2013, after three years as a Lee A. DuBridge Postdoctoral Scholar at Caltech, he became a staff physicist at NIST. At the same time, he started his own research group at the University of Maryland, where he is a fellow of the Joint Quantum Institute and of the Joint Center for Quantum Information and Computer Science. His theoretical research is at the interface of quantum optics, atomic physics, condensed matter physics, and quantum information science. Applications of his research include quantum computing, quantum communication, and quantum sensing. He is the recipient of the 2018 IUPAP (International Union of Pure and Applied Physics) Young Scientist Prize in Atomic, Molecular, and Optical Physics.

**Note:** Visitors from outside NIST must contact Cathy Graham; (301) 975-3800; at least 24 hours in advance.

Mathematics and statisticsQuantum information science

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