Venkat Aneesh Padmasola

• Quantum Machine Learning, Quantum Algorithms research using Adiabatic and Universal Gate Based Architectures. QKD, Quantum Networks via teleportation protocols.
• Solving NP-hard combinatorial optimization and graph optimization problems using Quantum Computers.
• Theoretical and Experimental Non-Linear and Quantum Optics
• Fundamental Machine Learning theory and experimental realizations of these concepts through optics

• Showed sub-linear Time Complexity for Adiabatic Quantum Computation and thus demonstrated it’s efficiency over existing classical algorithms for NP-Hard combinatorial optimization problems.
• Determined the shortest paths in large interconnected graphs and networks exponentially faster than the Dijkstra, Bellman-ford and Floyd-Warshall algorithms using Adiabatic Quantum computers.
• Finalist in the competition hosted by CQSE.
• Lead a team to design a program on a quantum computer to find the shortest paths in a large graph or network.

• Improved computational speed from months to hours for Electronic Structure calculations using parallel computing (MPI) and Ab-initio Quantum Physics software on the native HPCC(Dorothy).
• Set up Quantum ESPRESSO on the Stevens native HPCC, for future researchers to use.
• Implemented Low-frequency Raman Spectroscopy techniques (using 960 nm lasers) to determine Phonon modes in metal-halide perovskites.
• Summer Internship: Taught theoretical physics, shell scripting in Linux and C++ & Python programming needed for computational Physics/Chemistry simulations on HPCC's to the undergraduates.

• Programmed microcontrollers for smart digital out-of-home advertising analytics using facial recognition.
• Built and deployed computer vision and image recognition on 8-bit and 16-bit microcontrollers.
• Also hooked them up to the internet for remote data transfer and demoed the process to do so to colleagues.
• Created UNIX servers using Apache and MySQL, to remotely monitor the 4 device POC.
• Acquired Datasets and scaled the operation to deploy 80+ devices across the world for their needs.
• Created scalable request handling programs using R on Hadoop clusters to enable efficient parallel processing of datasets.

• Performed Molecular Dynamics of interaction between peptides and inorganic minerals using various scientific software, with applications in future design of synthetic biological tissues and other relevant nanomaterials.
• Derived NMR spectra for samples obtained from clients in Pharmaceutical and Materials Industries
• Developed computational codes using C and python for the Quantum Harmonic Oscillator on HPCs using MPI and OpenMP Used Ab-initio methods, Hartree-Fock and Density Functional Theory to simulate Quantum Mechanical systems on a HPC cluster using parallel computing routines.
• Built programs using Matlab and Python to analyze the circuit responses of Superconducting Josephson Junctions.

Estimated Band structures, Density of States and Phonon Spectra for 2D confined, thin-film nanomaterials relevant to post silicon electronics.