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Events 2024 - 2025

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AP 483 Optics & Electronics Seminar

Sponsored by the Department of Applied Physics and the Ginzton Laboratory

FALL 2024 

 

Speakers Organized by Prof. Bert Hesselink

Mondays at 4:15 pm in Spilker 232

https://stanford.zoom.us/j/97931999310

 

 

September 30, 2024

Mo Wu and Mohammad Asif Zaman

PhD Student and Postdoctoral Scholar in the Hesselink Group, Stanford University

Title: Optically controlled on-chip DNA synthesis: Applying trapping and manipulation techniques to solid-   phase chemistry

 

 

October 7, 2024

Joonhee Choi

Assistant Professor of Electrical Engineering, Stanford University

Title:  Quantum sensing with solid-state spins

 

 

October 14, 2024

Thibault Chervy

Research Scientist, PHI Lab, NTT Research

Title:  Quantum control of exciton wavefunctions in 2D semiconductors

 

 

October 21, 2024

David Schuster

Professor of Applied Physics, Stanford University

Title: Juggling single photons between superconducting cavities

 

 

October 28, 2024

Xiaodi Wu

Associate Professor in the Department of Computer Science, QuICS, University of Maryland, College Park

Title: An Unconventional Computer Scientist’s Journey to Bridge Theory and Practice for Quantum Applications

 

 

November 4, 2024

Drew Endy

Associate Professor of Bioengineering and Senior Fellow, by courtesy, at the Hoover Institution and at the Freeman Spogli Institute for International Studies, Stanford University

Title: Synthesis & Operation of Cellular-Scale Systems

 

 

November 11, 2024

Jon Simon

Professor of Physics and Applied Physics, Stanford University

Title: Racing to the Bottom: Low Finesse, Small Waist Cavity QED

 

 

November 18, 2024

Matthias Kling

Professor of Photon Science, Ultrafast Electronics and Nanophotonics Group, PULSE Institute, LCLS, SLAC National Accelerator Laboratory, Stanford University

Title: Attosecond Science and Technology

 

 

November 25, 2024

Thanksgiving Day (holiday, no classes)

 

 

December 2, 2024

Lars Neustock

Senior Product Engineer, Siemens Digital Industries Software

Title: Optimization of Charged-Particle Devices using the Adjoint Variable Method