A hands-on portfolio documenting my journey into quantum computing, with a focus on bridging physical chemistry concepts with quantum algorithms and optimization techniques.
MSc in Physical Chemistry exploring quantum information science, simulation and computing applications for molecular simulation and electronic structure problems. This repository showcases practical implementations from the Qbraid QuSyn specialization and independent projects.
- Objective: Compare quantum circuit compilation efficiency between Qbraid and Qiskit transpilers
- Method: Decomposed arbitrary unitary operations into minimal {U3, CNOT} gate sequences
- Key Insight: Analyzed circuit depth reduction strategies for NISQ-era hardware limitations
- Tools: Qiskit, Qbraid Transpiler, Matplotlib for visualization
- View Project
- Quantum Phase Estimation: Foundation for quantum chemistry algorithms (future VQE applications)
- Grover's Search Algorithm: Quadratic speedup demonstration
- Deutsch-Josza Algorithm: Oracle-based quantum advantage
- Quantum Fourier Transform: Key quantum subroutine
- View Algorithms
- Molecular Hamiltonian representation as Pauli operators
- Simple VQE framework for small molecular systems
- Noise simulation for quantum chemistry circuits
- Quantum Frameworks: Qiskit, Qbraid SDK
- Programming: Python, Jupyter Notebooks
- Visualization: Matplotlib, Seaborn
- Development: Git, VS Code, Jupyter Lab