Mr. Sergi Masot-Llima | Barcelona Supercomputing Center | Spain
S. Masot-Llima is a physicist currently pursuing a Ph.D. in Physics at Quantic, Barcelona Supercomputing Center (BSC), specializing in quantum computing and tensor networks. He holds a Master’s in Physics from ETH Zurich and a double degree in Physics and Mathematics from the University of Barcelona. His research focuses on the development of quantum simulators and quantum convolutional neural networks. Masot-Llima is also an active lecturer and has contributed to numerous publications in quantum mechanics and computational physics. His passion for quantum research is matched by his involvement in both academic and dissemination activities. 🔬🧑💻🎶
Professional Profile:
Google Scholar
Suitability for Best Researcher Award
S. Masot-Llima is a highly suitable candidate for the Best Researcher Award, owing to his exceptional academic achievements and significant contributions to the rapidly evolving field of quantum computing.Masot-Llima’s focus on quantum computing and tensor networks places him at the forefront of cutting-edge research in theoretical physics and computational sciences. Quantum simulators and quantum convolutional neural networks are among the most advanced and impactful areas in modern physics, making his research highly relevant to the future of technology.
Education & Experience
- Ph.D. in Physics, Quantic, Barcelona Supercomputing Center (BSC) (2021–present) 🎓
- Master’s in Physics, ETH Zurich, 98 ECTS (2019–2021) 🧑🎓
- Double degree in Physics and Mathematics, Universitat de Barcelona (UB), 486 ECTS (2013–2019) 📚
- Severo Ochoa Mobility Program, Freie Universität Berlin (2024)
- Talk Presenter, QTML 2024, Melbourne (2024)
- Teacher, Bojos per la Supercomputació, Quantum Computing at BSC (2023–2025) 🧑🏫
- Bachelor Thesis Manager, UAB and BSC (2023–2025) 📑
- Research Intern, Leiden Institute of Physics (2018) 🔬
Professional Development
Masot-Llima has dedicated much of his professional career to enhancing quantum computing capabilities. His collaboration at prestigious institutions such as the Barcelona Supercomputing Center and Freie Universität Berlin allows him to tackle challenging problems in quantum simulation. Alongside his academic work, he manages internships, mentors students, and actively contributes to science dissemination through public talks and workshops. He is also involved in the design of quantum computing challenges at events like Qiskit Hackathon. His skill set extends to programming with advanced tools like Qiskit and JAX for quantum computations. 💻🌐🎓
Research Focus
S. Masot-Llima’s research revolves around quantum computing, specifically tensor networks and their applications to universal quantum simulation. His work investigates the structure and training of quantum convolutional neural networks (QCNNs), aiming to enhance the computational capabilities of quantum processors. He explores new tensor network geometries and quantum entanglement patterns, contributing to a deeper understanding of quantum systems. His innovative approach helps bridge the gap between theoretical models and practical applications of quantum computing. 🔬⚛️💡
Awards & Honors
- Preprint: Advantages of density in tensor network geometries for gradient-based training (2024) 📄
- Preprint: Entropy-driven entanglement forging (2024) 📜
- Publication: Stabilizer Tensor Networks: universal quantum simulator (2024) 🏅
- Publication: Quantum entanglement patterns in atomic nuclei (2023) 🏆
- Publication: Quantum convolutional neural networks on quantum processors (2022)
Publication Top notes:
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“Stabilizer tensor networks: universal quantum simulator on a basis of stabilizer states” – Cited by: 1️⃣7️⃣
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“Advantages of Density in Tensor Network Geometries for Gradient-Based Training”
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“Entropy-driven entanglement forging”