Dirk Robert Englund is a Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology.https://www.eecs.mit.edu/department-of-eecs-announces-2024-promotions/ He is known for his research in quantum photonics and optical computing.
Biography and education Dirk Robert Englund grew up in Germany and California. He attended the California Institute of Technology, where he majored in physics and received his B.S. in 2002. After spending one year at the Technical University of Eindhoven on a Fulbright scholarship, he returned to the United States to earn his M.S. in electrical engineering and Ph.D. in applied physics from Stanford University in 2008 under the supervision of Jelena Vuckovic. He then completed postdoctoral research in the group of Mikhail Lukin at Harvard University. Dirk Englund is the son of American Assyriologist, Robert Keith Englund.
Career and research
From 2010 to 2013, Englund was an Assistant Professor of Electrical Engineering and of Applied Physics at Columbia University. In 2013, he moved to Massachusetts Institute of Technology, where he is currently a Professor of Electrical Engineering and Computer Science.
Englund’s research focuses on photonic devices and systems for quantum information technologies and machine learning acceleration. He has contributed to a wide range of topics in photonics including quantum dot light emission in photonic crystals,Englund, D., Fattal, D., Waks, E., et al. Controlling the spontaneous emission rate of single quantum dots in a two-dimensional photonic crystal. Phys. Rev. Lett. 95, 013904 (2005) https://doi.org/10.1103/PhysRevLett.95.013904 solid-state quantum memories in nitrogen-vacancy centers in diamond,Wan, N.H., Lu, TJ., Chen, K.C. et al. Large-scale integration of artificial atoms in hybrid photonic circuits. Nature 583, 226–231 (2020). https://doi.org/10.1038/s41586-020-2441-3 graphene integration for photodetectors,Gan, X., Shiue, RJ., Gao, Y. et al. Chip-integrated ultrafast graphene photodetector with high responsivity. Nature Photon 7, 883–887 (2013). https://doi.org/10.1038/nphoton.2013.253 optical accelerators for machine learning,Shen, Y., Harris, N., Skirlo, S. et al. Deep learning with coherent nanophotonic circuits. Nature Photon 11, 441–446 (2017), https://doi.org/10.1038/nphoton.2017.93 and programmable photonic circuits for cryogenic environments.Dong, M., Clark, G., Leenheer, A. J. et al. High-speed programmable photonic circuits in a cryogenically compatible, visible–near-infrared 200 mm CMOS architecture. Nature Photonics 16, 59-65 (2022), https://doi.org/10.1038/s41566-021-00903-x In 2022, he and his team demonstrated power-efficient neural network inference on network edge devices using a fiber optic link and telecommunication components.Sludds, A., Bandyopadhyay, S., Cai, Z., et al. Delocalized photonic deep learning on the internet’s edge. Science 378, 270-276 (2022). https://doi.org/10.1126/science.abq8271
His work has led to several spin-off companies: DUST Identity is developing diamond nitrogen-vacancy centers for authentication; Lightmatter is developing photonic computing platforms; QuEra Computing is building quantum computers using neutral atoms; and Quantum Network Technologies is developing quantum repeaters for networks.
Awards
Englund has received numerous awards in recognition of his research, including a Humboldt Professorship, the Optica Adolph Lomb Medal, and an IBM Faculty Award. He is an Optica Fellow.
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