Curriculum Vitae

Incoming PhD student in the Department of Mathematics.

Final GPA: 5.69 out of 6. Specialization in Quantum Information and Computation.

• Awarded the highly competitive full-ride "La Caixa" Foundation Fellowship to fund Master's studies.
• Relevant coursework: Quantum Computing, Computational Quantum Physics, Computational Complexity.

GPA: 9.42 out of 10.

• 18 distinctions of "Matrícula de Honor" (top 5% of the class).

Awarded First Class Honours.

• End of Degree project on Gaussian Boson Sampling, a potential method for demonstrating quantum advantage using photons, supervised by Prof. Myungshik Kim.
• Determined the noise thresholds for efficient classical simulation of Gaussian Boson Sampling, analytically and numerically.

Master's thesis: "Quantum Algorithms for Matrix Equations and Applications to Quantum Chemistry". Supervised by Prof. Joonho Lee (Harvard) and Prof. Giuseppe Carleo (EPFL).

• Developed quantum algorithms to solve the coupled-cluster energy and amplitude equations more efficiently, leveraging the Quantum Singular Value Transform (QSVT) framework for solving non-linear equations on quantum computers.
• Related first-author preprint: "Quantum Solvers for Nonlinear Matrix Equations in Quantum Chemistry" (arXiv:2605.16189).

Supervised by Prof. Jean-Philip Piquemal and Baptiste Claudon.

• Devised new quantum circuits for the Metropolis-Hastings quantum walk that achieve a provable quadratic speed-up with constant ancilla usage. Implemented the simulation and verification pipeline for the circuits.
• Co-wrote preprint "Quantum Circuits for the Metropolis-Hastings Algorithm" (arXiv:2506.11576).

Supervised by Prof. Giuseppe Carleo.

• Investigated the integration of circuit knitting techniques with tensor-network methods (MPS/MPO) to simulate strongly correlated quantum systems.
• Designed and implemented a two-stage circuit-knitting workflow that extracts knitting subcircuits using Qiskit and simulates low-entanglement regions on a Julia tensor-network backend.

Supervised by Prof. Zoë Holmes.

• Developed Gaussian-process models to classify Wigner negativity in continuous-variable quantum states, achieving up to 95% accuracy on cat and coherent states.
• Benchmarked performance against neural networks and logistic regression, and compared various measurement schemes for learning continuous-variable quantum states.

Supervised by Prof. Nicolas Macris.

• Analysed the computational complexity of classical simulations for matchgate circuits, evaluating quantum and classical techniques to simulate fermionic quadratic Hamiltonians in polynomial time.
• Implemented and executed quantum simulations on IBM's quantum hardware using Qiskit.

BSc thesis: "Noise Thresholds for Classical Simulability of Gaussian Boson Sampling". Supervised by Prof. Myungshik Kim.

• Modelled continuous-variable quantum systems using the phase-space formulation of quantum optics and incorporated various noise sources.
• Determined the noise thresholds for efficient classical simulation of Gaussian Boson Sampling via analytical and numerical methods.

Published at the 33rd ACM International Conference on Multimedia (ACM MM 2025).

• Research project for EPFL's Deep Learning course, selected from 50 projects for continued support in collaboration with Idiap and accepted for publication at ACM MM '25.
• Developed and implemented cross-modal attention mechanisms to improve hate speech detection in videos, surpassing prior models on the HateMM dataset.

Paper accepted at the ICLR 2025 MLGenX and AI4NA workshops.

• Research project for EPFL's Machine Learning course, resulting in a paper accepted at the ICLR 2025 MLGenX and AI4NA workshops.
• Fine-tuned and evaluated multiple RNA language models for intronic branch-point prediction, achieving state-of-the-art performance.

Semester project supervised by Prof. Giuseppe Carleo.

• Integrated circuit knitting and tensor-network methods to tackle the simulation of strongly correlated quantum systems on NISQ devices.

Summer research supervised by Prof. Zoë Holmes.

• Developed ML approaches (Neural Networks, Gaussian Processes) to classify Wigner negativity in continuous-variable quantum systems, reaching up to 95% accuracy on cat and coherent states.

Semester project supervised by Prof. Nicolas Macris.

• Analysed the computational complexity of classically simulating matchgate circuits and evaluated techniques to simulate fermionic quadratic Hamiltonians in polynomial time.

Achieved 2nd place with my team.

• Implemented the Heyfron-Campbell "normal form" of arbitrary quantum circuits, useful for reducing T-gate count in quantum compilation.

Received a travel grant from EPFL's Quantum Science and Engineering Center.

• Built a multi-modal ML model using Quantum Convolutional Neural Networks to classify fake-news tweets.
• Developed a QUBO model to rank Twitter feeds by "trustedness", mapped it to an Ising Hamiltonian, and solved it using QAOA.

BSc end-of-degree project supervised by Prof. Myungshik Kim.

• Determined, analytically and numerically, the noise thresholds for efficient classical simulation of Gaussian Boson Sampling, a candidate route to photonic quantum advantage.

Merit-based postgraduate fellowship funding MSc studies abroad.

Highly selective fellowship funding MSc studies at EPFL, awarded for undergraduate academic excellence. Declined in favour of the La Caixa Fellowship.

Awarded by EPFL's Quantum Science and Engineering Center to two EPFL students.

Spanish Ministry of Education scholarship to fund undergraduate research.

Ranked in the top 25 of ~6000 candidates (top 0.5%), with a score of 13.74/14.

Co-founded EPFL's student-led quantum engineering association.

• Coordinated events including networking sessions with PhD students, meet-ups with quantum industry professionals, and a biweekly Quantum Paper Club.

Teaching assistant for "Introduction to Quantum Information Processing".

• Responsible for supervising and aiding students in weekly problem-solving sessions.

Participated in the IBM Qiskit Summer School 2024 and IBM Quantum Challenge 2024.

• Covered topics such as quantum circuit compilation and quantum combinatorial optimization. Completed all challenges and earned advanced-level badges.

Personal tutor of several students for 3 years and "Entreiguals" mentor for incoming Erasmus students.