Vaishnavi Addala
- Program Year: 1
- Academic Institution: Massachusetts Institute of Technology
- Field of Study: Quantum Computing
- Academic Advisor: William Oliver
- Practicum(s): Practicum Not Yet Completed
- Degree(s):
S.B. Electrical Engineering and Computer Science, and S.B. Mathematics, Massachusetts Institute of Technology, 2024
Summary of Research
Vaishnavi’s research is centered around quantum error correction for the superconducting qubit architecture. She is working on efficient calibration and control techniques which can be used before and during error correction protocols. Quantum systems are noisy, and the noise drifts with time. To combat this, real-time updating of device parameters during experiments in addition to accurate calibration before experiments is important. Vaishnavi is working on this problem by looking into both the types of calibrations that can be done as well as the configuration of hardware and software which minimizes latency.She has additionally been researching a layout process for various error correcting codes on 3D-integrated superconducting qubit architecture. Over decades, the layout of semiconductor chips has been highly refined. For quantum chips, there are different constraints which lead to the want for a new automated and optimized way of performing a layout. She has been working on a team to better understand the advancements and constraints in superconducting qubit device fabrication in order to develop such an automated layout tool. She presented on this work at the QSEC Annual Research Conference.
Publications
Addala, V. L., Ge, S., & Krastanov, S. (2025). Faster-than-Clifford simulations of entanglement purification circuits and their full-stack optimization. npj Quantum Information, 11(1), 12.Goodenough, K., De Bone, S., Addala, V., Krastanov, S., Jansen, S., Gijswijt, D., & Elkouss, D. (2024). Near-term n to k distillation protocols using graph codes. IEEE Journal on Selected Areas in Communications.
Edwards, K. M., Addala, V. L., & Ahmed, F. (2021). Design Form and Function Prediction From a Single Image. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (Vol. 85376, p. V002T02A032). American Society of Mechanical Engineers.
Awards
Department of Energy Computational Science Graduate FellowshipMIT Thriving Stars Fellowship