I am currently a Master’s student at Queen Mary University of London (QMUL), majoring in Computer Science, with a specific focus on quantum computing. My background includes work in both software engineering and quantum computing research.
In the realm of quantum computing, I have primarily concentrated on theoretical aspects, with a particular interest in Quantum Programming Languages, Quantum Error Correction, and Quantum Machine Learning. Currently, I am working on my thesis on Quantum Lambda Calculus, an advanced field that combines principles of quantum computing with lambda calculus to explore computational frameworks for quantum algorithms, and various error correction methods, under the expert guidance of my supervisor, Mr. Nikos Tzevelekos. Earlier in my undergraduate, I worked upon my undergraduate thesis, which focused on the intricacies of Monte Carlo algorithms with a special emphasis on the simulations of Markov Chain Monte Carlo, my work culminated in a publication in an international journal, showcasing my deep dive into this complex area of study.
Further extending my research interests, I have delved into an independent project on Quantum-inspired Hamiltonian Monte Carlo. This project aims to simulate this specific Monte Carlo variant using ZX calculus, demonstrating my continuous commitment to advancing in the field of quantum computing.
My journey towards a career in computer science has been diverse and enriching. Initially, I honed my skills in communication and public relations, gaining valuable insights into effective storytelling and audience engagement. This was followed by a foray into the technical realm as a full-stack software developer and a founder for a reach out coding programs for university students. Over the course of 4 years, I have played a pivotal role in leading and actively participating in free and open source software communities, which has significantly shaped my professional path in computer science. For more details on my programming experience check my portfolio website.
My dissertation focused on to engineer a machine-learning model aimed at gauging the likelihood of an atom’s forthcoming interaction using the Monte Carlo method with the help of MATLAB, but how and why whether such system will work was the longstanding question which my dissertation answers. The first part of the dissertation explored different types of Monte Carlo methods. In the second part, my collaborator and I demonstrated stationary state of an atom’s interaction in a system, and sampled the interactions against probability distribution to understand the accuracies.
I am currently working my Master thesis, which is about Quantum Lambda Calculus, my main research interest under this theme. The current work talks about an in-depth exploration of the quantum lambda calculus. It focuses on the challenge of developing satisfactory denotational semantics for the quantum lambda calculus, a higher-order language integrating quantum data and classical control.