Dr. Shyam Shankar

Assistant Professor

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Biography

Shyam Shankar is an Assistant Professor in the Department of Electrical and Computer Engineering at The University of Texas at Austin. He is a Texas ECE Early Career Fellow. Dr. Shankar's research focuses on developing superconducting semiconductor quantum device circuits for quantum information science and engineering. He received his B.Tech in Electrical Engineering from the Indian Institute of Technology, Kanpur in 2004 and completed his Ph.D. in Electrical Engineering at Princeton University in 2010. Following his doctoral studies, he worked as a postdoctoral researcher and subsequently as a research scientist at Yale University's Applied Physics department until 2019. In his capacity, he led experiments demonstrating the underlying principles necessary for designing large-scale quantum computers, including advancements in quantum back-action dispersive readout and stabilization of entanglement measurements through measurement-based autonomous feedback. Dr. Shankar is also involved in the development of quantum-limited amplifiers and non-reciprocal devices, and he started the Quantum Circuits group at the University of Texas at Austin in the fall of 2019.

Research Interests

Experience

Research Scientist

— Present

Yale University • New Haven, CT

Conducted research and development in quantum information science.

Assistant Professor

— Present

The University of Texas at Austin • Austin, TX

Leads the Quantum Circuits group focusing on quantum computing and superconducting devices.

Requirements for University of Texas at Austin

Master Program
Requirements
GPA Requirement
Required:3
GRE General
TOEFL
Total
Required:79
IELTS
Overall
Required:6.5
Prerequisites
Bachelor's degree from a regionally accredited institution
Application Checklist
  • Online application
  • Application fee
  • Official transcripts
  • Statement of Purpose
  • Three letters of recommendation
  • CV/Resume
Specialization Notes

General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.