Spain
I am a Master's student in Physics. My interests span around quantum photonics and technology. In particular, I have an inclination towards light manipulation and light-matter interaction, cavity QED and "Quantum Circuits". I find meaning in contributing to challenging experiments and enjoy conducting the corresponding computations and numerical analysis to make it work.
Presently for my master’s thesis, I am characterizing the photonic optical density of states (LDOS) of metallic nano-cavities for single-photon emission studies in low-temperature UHV-STM. Additionally, I am performing dielectric characterization of (few layers) hBN to determine its voltage tolerance as an insulating layer.
I had the opportunity to attend the week long QVLS Winter School 2026. This was a rigorous academic program about the state of the art quantum computing and quantum logic with trapped ions. The curriculum offered a well rounded approach of topics relevant to the quantum optics domain, including theoretical and experimental lectures on Paul trap physics, precise light-matter interactions, and the Jaynes-Cummings model. Through problem-solving sessions, and laboratory tours, they also provide knowledge of the most crucial challenges in microfabrication, physical quantum gate implementation. Thank you QVLS!
I recently completed the Womanium & WISER Quantum Program 2025, and it’s been an incredible journey! The lecture series explored quantum algorithms for differential equations, covering everything from fundamentals to advanced techniques like HHL, VQLS, LCU, and Block Encoding. It was fascinating to see how these approaches can be applied to real-world problems such as PDEs and nonlinear systems. As part of the 6-week WISER 2025 Project Challenge, I also worked on the most ambitious independent project I have undertaken so far and currently the only one on my GitHub profile. It is titled “Quantum Walks and Monte Carlo Methods”. This work implements a quantum simulation framework based on the Universal Statistical Simulator model provided on the challenge website and referenced paper. 1) One of the key technical hurdles was handling the layered structure of the simulation, which required recycling the control qubit and applying a re-Hadamard operation. 2) Our solution notebook builds a quantum Galton board simulator in Qiskit, implementing both copy (CNOT-based) and peg (CSWAP-based) circuit models. It verifies that with unbiased coins, the output converges to the expected Gaussian distribution, then modifies coin rotations to engineer non-Gaussian targets (e.g., exponential, quantum-walk distributions 3) While the Galton board itself is classical concept, reproducing it on a quantum computer validates quantum circuit encodings of probability distributions and provides a controlled testbed for studying noise effects. It also establishes a foundation for extending the method to simulation of classically complex distributions, where quantum nature can be used to advantage A big thank you to Womanium, WISER, and all the mentors for creating such a challenging and inspiring program!
This year, I had a chance to attend the 2 week IBM quantum summer school themed- "The Past, Present, and Future of Quantum Computing" . It offered me- "the opportunity to gain an understanding of quantum computing, from foundational concepts to recent breakthroughs" (credits: Olivia lanes) The program provided a fantastic chance to strengthen my understanding of quantum computing, from core principles to the latest breakthroughs (credit: Olivia Lanes). What made it even more exciting was the hands-on approach through four immersive, DIY-style labs: 🔹 Lab 1: Recreating Famous Experiments at Home We began by setting up our Python environment and Qiskit toolkit, then revisited foundational quantum experiments—an excellent way to connect theory with practice. 🔹 Lab 2: Cutting Through the Noise This lab explored the challenge of quantum noise in real devices. Using a Max-Cut problem as an example, we tested transpilation and error mitigation strategies, and even implemented them on real quantum hardware. 🔹 Lab 3: Good Sampling in Quantum Chemistry Here we looked at simulating molecules with quantum computers, following a workflow familiar to quantum chemists. This showcased one of the most promising applications of quantum computing—quantum chemistry. 🔹 Lab 4: Quantum Error Correction The final lab introduced error-correcting codes, from classical basics to Quantum Error Correction (QEC). We studied stabilizer formalism and advanced codes such as QLDPC, Toric, and Gross codes, all with practical exercises. A huge thank you to IBM Quantum and the Qiskit team for organizing such an intelligently engaging and insightful program!
During my visiting student internship, I successfully re-created the previously engineered standalone system for generating vector vortex beams using a Digital Micromirror Device . The primary objective of this project was to create a tool capable of studying the influence of structured light on quantum dynamics.