Graduated with honors in Physics with a strong background in quantum information, optimization, and computational methods. Experienced in international research environments, including an internship at the Perimeter Institute. Committed to advancing the frontiers of quantum computing and its applications, and eager to contribute to the academic and professional community through meaningful collaborations.
Quantum Information Theory, Quantum Key Distribution, Quantum Error Correction, Topological Quantum Computing, Quantum Annealing
Quantum Optimization with Variational Algorithms
The rapid evolution of quantum computing has introduced groundbreaking approaches to solving complex optimization problems, traditionally limited by classical methods. This talk explores the principles and applications of quantum optimization, with a focus on Variational Quantum Algorithms (VQAs). These algorithms, including the Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimization Algorithm (QAOA), leverage hybrid quantum-classical systems to address challenges in diverse fields such as combinatorial optimization, quantum chemistry, and material design. Attendees will gain insights into the theoretical foundations of quantum computing, the operational mechanics of quantum circuits, and the integration of quantum programming tools like Qiskit. Practical examples and demonstrations will highlight how VQAs outperform classical methods in specific scenarios, offering a transformative perspective on optimization in the quantum era.