I am a first year PhD Student in Professor Dirk Englund's Quantum Photonics Laboratory. My research focuses on leveraging photonic integrated circuits (PICs) to scale cold-atom based quantum computers. I am broadly interested in bridging fundamental research with scalable engineering solutions for quantum technologies.

I earned dual bachelor’s degrees in Physics and Mechanical Engineering from the University of Maryland, College Park (UMD). There, I worked in Professor Avik Dutt’s FloQuET Laboratory, where I was involved in three primary directions: Experimentally implementing and demonstrating a fiber-optic “photonic molecule” for analog quantum simulation; optimizing and executing digital quantum simulation circuits on IonQ’s trapped-ion quantum computer; and generating squeezed light using silicon nitride (SiN)–based on-chip ring resonators.

I also spent two summers with IBM Quantum, where I worked on scalable methods of calibrating transoms qubit readout resonators.

Y. Shen, P-Y. Hsieh, D. Srinivasan, A. Henry, G. Moille, S. Sridhar, A. Restelli, Y-C. Chang, K. Srinivasan, T. Smith, and A. Dutt†, “Highly squeezed nanophotonic quantum microcombs with broadband frequency tunability,” https://arxiv.org/abs/2505.03734 (2025).

D. Srinivasan, A. Beyer, D. Zhu, S. Churchill, K. Mehta, S. K. Sridhar, K. Chakrabarti, D. W. Steuerman, N. Chopra, and A. Dutt,”Trapped-ion quantum simulation of the Fermi-Hubbard model as a lattice gauge theory using hardware-aware native gates,” https://arxiv.org/abs/2411.07778 (2025)

D. Srinivasan, S. K. Sridhar, A. R. Miller, and A. Dutt, "Stably locking a photonic molecule by extending Pound-Drever-Hall feedback with higher-order derivatives," 2024 Conference for Laser and Electro-Optics (2024), Technical Digest Series (Optica Publishing Group, 2024), paper JW2A.218.

S. K. Sridhar, S. Ghosh, D. Srinivasan, A. R. Miller, and A. Dutt, Quantized topological pumping in Floquet synthetic dimensions with a driven dissipative photonic molecule. Nature Physics 20, 843–851 (2024).

D. Srinivasan*, K. Chakrabarti*, N. Chopra†, A. Dutt, “Quantum Circuit Optimization through Iteratively Pre-Conditioned Gradient Descent,” Oral presentation at the 2023 IEEE Conference on Quantum Computing and Engineering (2023). https://arxiv.org/abs/2309.09957.