Logan Wright

Assistant Professor of Applied Physics
Room / Office: Becton 311
Office Address:
15 Prospect Street
New Haven, CT 06511
Mailing Address:
P.O. Box 208284
New Haven, CT 06520
Email: logan.wright@yale.edu
Degrees:
  • Ph.D., Applied Physics, Cornell University
  • BSc. (Eng.); Engineering Physics, Queens University

Interests:

I am interested in physical computation, control, and complexity, mostly with photons.

Current research directions include:

  1. Physical and quantum neural networks: Using physical systems with many controllable parameters for analog computing, and for computational imaging and sensing.
  2. Automated experimental science and engineering: Computer-driven discovery, design, and control of complex physical systems, usually with physics-informed machine learning.
  3. Multimode quantum and nonlinear photonics: The physics and applications of nonlinear and quantum optical wave propagation and oscillators, usually involving many degrees of freedom.

Research on these topics includes experimental, theoretical, and computational components, with an emphasis on experiments and prototypes based on, or enabled by, photonics. Where feasible, I'm interested in developing and applying broad, system-level concepts and algorithms. Accordingly, I also welcome diverse ideas and applications from adjacent fields, such as robotics, applied mathematics, fluids, biology, and materials science.

Selected Awards & Honors:

  • Cornell William Nichols Findley Award, 2018
  • Tingye Li Innovation Prize, 2018
  • Optica Outstanding Reviewer Recognition, 2017
  • Cornell William Nichols Findley Award, 2015

Selected Publications:

  • L.G. Wright*, T. Onodera* et al., (2022). Deep physical neural networks trained with backpropagation. Nature, 601 (7894), 549-555.
  • L.G. Wright, F.O. Wu, D.N. Christodoulides, and F.W. Wise (2022) Physics of highly multimode nonlinear optical systems. Nature Physics, 18, 1018-1030.
  • L.G. Wright, W.H. Renninger, D.N. Christodoulides, & F.W. Wise. (2022). Nonlinear multimode photonics: nonlinear optics with many degrees of freedom. Optica, 9 (7), 824-841.
  • T. Wang, S.Y. Ma, L.G. Wright, T. Onodera, B.C. Richard & P.L. McMahon (2022). An optical neural network using less than 1 photon per multiplication. Nature Communications, 13 (1), 1-8.
  • L.G. Wright et al., (2017). Multimode nonlinear fiber optics: massively parallel numerical solver, tutorial, and outlook. IEEE Journal of Selected Topics in Quantum Electronics, 24 (3), 1-16.
  • L.G. Wright et al., (2020). Mechanisms of spatiotemporal mode-locking. Nature Physics, 16 (5), 565-570.
  • L.G. Wright, D.N. Christodoulides, and F.W. Wise. (2017) Spatiotemporal mode-locking in multimode fiber lasers. Science 358 (6359),94-97.
  • L.G. Wright et al., (2016). Self-organized instability in graded-index multimode fibres. Nature Photonics, 10 (12), 771-776.
  • L.G. Wright, D.N. Christodoulides, and F.W. Wise. (2015). Controllable spatiotemporal nonlinear effects in multimode fibres. Nature Photonics, 9 (5), 306-310.