Rajat Vishwakarma

Utilized Matlab-Simulink to execute flight simulations, and RocketPy's methods to run a Monte Carlo analysis and predict probability distributions of rocket's landing point, apogee and trajectory. Working on a Hybrid Quantum-Classical approach for flight trajectory optimization, executing simulations on GPUs using NVIDIA's cuQuantum SDK.

Exp. Smoothing Method with Tuned Arima Model for Enhanced Time Series Forecasting. Employed various ARIMA model configurations to analyze functional time series data, optimize fidelity & address variance. Applied KPSS test to check time series stationarity.

Analyzing Molecular Interactions & Electronic Structure Using Quantum Computers with Quantum Error Correction. Mapped the Fermionic Operator to qubit operator via multiple mapping methods. Used Mitiq Quantum Error Mitigation technique Zero-Noise Extrapolation (ZNE) for predicting the Ideal Quantum State when Noise is Zero, increasing fidelity from 0.28 to 0.88.

Implemented Kubernetes for user-specific images with isolation & DIND. Leveraged community GPU nodes with dynamic load balancing to serve multi-users across different time zones, reducing costs by approximately 70% with minimal impact on computational capability.