Tunnel-FET Switching Is Governed by Non-Lorentzian Spectral Line Shape. - Sri Krishna Vadlamani; Sapan Agarwal; David T. Limmer; Steven G. Louie; Felix R. Fischer; Eli Yablonovitch (Proc. IEEE, 2020)

Physics successfully implements Lagrange multiplier optimization. - Sri Krishna Vadlamani; Tianyao Patrick Xiao; Eli Yablonovitch (Proc. Natl. Acad. Sci. USA, 2020)

Sharp Switching in Tunnel Transistors and Physics-based Machines for Optimization. - Sri Krishna Vadlamani (2021)

Equivalence of Coupled Parametric Oscillator Dynamics to Lagrange Multiplier Optimization. - Sri Krishna Vadlamani; Tianyao Patrick Xiao; Eli Yablonovitch (ICRC, 2022)

Equivalence of coupled parametric oscillator dynamics to Lagrange multiplier primal-dual optimization. - Sri Krishna Vadlamani; Tianyao Patrick Xiao; Eli Yablonovitch (CoRR, 2022)

A Self-Similar Sine-Cosine Fractal Architecture for Multiport Interferometers. - Jasvith Raj Basani; Sri Krishna Vadlamani; Saumil Bandyopadhyay; Dirk R. Englund; Ryan Hamerly (CoRR, 2022)

Transferable Learning on Analog Hardware. - Sri Krishna Vadlamani; Dirk R. Englund; Ryan Hamerly (CoRR, 2022)

Quantum-secure multiparty deep learning. - Kfir Sulimany; Sri Krishna Vadlamani; Ryan Hamerly; Prahlad Iyengar; Dirk R. Englund (CoRR, 2024)

Towards the Information-Theoretic Limit of Programmable Photonics. - Ryan Hamerly; Jasvith Raj Basani; Alexander Sludds; Sri Krishna Vadlamani; Dirk R. Englund (CoRR, 2024)

Improved Differential Evolution based Feature Selection through Quantum, Chaos, and Lasso. - Yelleti Vivek; Sri Krishna Vadlamani; Vadlamani Ravi; P. Radha Krishna 001 (CoRR, 2024)

QAMNet: Fast and Efficient Optical QAM Neural Networks. - Marc Gong Bacvanski; Sri Krishna Vadlamani; Kfir Sulimany; Dirk Robert Englund (CoRR, 2024)

Circuits that Solve Optimization Problems by Exploiting Physics Inequalities. - Eli Yablonovitch; Qixin Feng; Sri Krishna Vadlamani; T. Patrick Xiao (ISSCC, 2025)

Optical QAM Neural Networks for Efficient AI Accelerators. - Marc Gong Bacvanski; Sri Krishna Vadlamani; Kfir Sulimany; Dirk Robert Englund (OFC, 2025)

Quantum-Secure Deep Learning in Optical Networks. - Kfir Sulimany; Sri Krishna Vadlamani; Ryan Hamerly; Prahlad Iyengar; Dirk R. Englund (OFC, 2025)

Disaggregated Deep Learning via In-Physics Computing at Radio Frequency. - Zhihui Gao; Sri Krishna Vadlamani; Kfir Sulimany; Dirk R. Englund; Tingjun Chen (CoRR, 2025)

Machine Intelligence on Wireless Edge Networks. - Sri Krishna Vadlamani; Kfir Sulimany; Zhihui Gao; Tingjun Chen; Dirk R. Englund (CoRR, 2025)