Physics PhD Applicant

Computational Biophysics • Quantum Computing • High-Performance Computing

About

My academic journey in physics began with a fascination for the laws that govern our universe. I pursued rigorous studies in theoretical physics, computational science, and machine learning, developing a unique blend of skills that bridges high-energy theory with practical computational methods.

Research Focus

My research interests have converged toward applying quantum computation to solve problems in quantum systems. I am particularly interested in using Variational Quantum Eigensolvers (VQE) to compute molecular electronic structures—tasks where classical computers often fall short but quantum systems can achieve remarkable precision.

Academic Philosophy

I believe in combining theoretical rigor with practical computational expertise. My journey reflects persistence, curiosity, and a constant drive to identify weaknesses and transform them into strengths. I bring together theoretical physics, computational science, and machine learning to advance the frontiers of computational and quantum physics.

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