Harshil Bhatia Email & Phone Number

Bengaluru, Karnataka, India

working with LLMs to e-commerce automate product listings.

Bangalore Urban, Karnataka, India

using diffusion based approaches for 3d generation

Saarbrücken, Saarland, Germany

Supervisor: Dr. Vladislav Golyanik.Multi-Shape Matching1. Worked on developing a novel formulation for multi-shape matching problem2. Implemented the proposed methodology on an adiabatic quantum annealer.3. Work published at Computer Vision and Pattern Recognition.Quantum Random Number Generator. 1. Generated random numbers with the help of a quantum annealer.2. Evaluate the generated sequences on their randomness pattern and deviations from the theoretically predicted behavior.3. Analyse the low-level (hardware) sources of disturbances that can affect the performance of our algorithm.4. The work reports experiments on real quantum hardware (quantum annealers from D-Wave).

Jodhpur, Rajasthan, India

Supervised by: Dr. RIcha Singh and Dr. Mayank Vatsa.Worked on StyleGAN's latent space to analyse directions of identity leakage. Published as a AAAI student abstract and WACV 2024.

Budapest, Hungary

Supervisor: Dr. Tamas Kiss and Dr. Orsolya Kalman.Measurement Induced Non Linear Chaos in Quantum Systems. 1. Modelled the statistical effect of measurement noise on a non-linear iterative quantum protocol2. Proved that the fractal nature of the regime is preserved upon the addition of noise.3. Introduced the different sources of noise present in a quantum system including but not limited to decoherence and dephasing.4. The results obtained are currently under preparation.5. Devised a new protocol to reduce the effect of noise and maintain the fractal nature. The results obtained are currently under preparation.

Den Haag, South Holland, Netherlands

Supervisor: Prof. Frank Phillipson Quantum Support Vector Machine 1. Analysed the working of a Support Vector Machine on the hybrid solvers offered by the D-Wave quantum Annealer.2. We studied the sensitivity of the ’Quadratic Unsupervised Binary Optimization’ formulation and analysed the reason for over fitting.3. The work was presented in ICCS 2021Quantum Portfolio Optimisation 1. Worked on modeling a Quadratic Unsupervised Binary Optimization for the Portfolio management problem 2. Implementation on real quantum hardware 3. Perform benchmarking against state of the art commercially available Classical Mixed Integer Non Linear Solvers (e.g., gurobi, localsolver).4. Devised a theoretical framework for predicting the penalty parameters proved and the scalability of the same. 5. The work was presented in ICCS 2021.

Bachelor Of Technology - Btech, Computer Science

Non-Medical With Computer Science