Martina Nibbi

Martina Nibbi is a Researcher and PhD candidate at the Technical University of Munich (TUM) within the TUM School of CIT, Department of Computer Science. Her work focuses on quantum algorithms, quantum chemistry, and quantum simulation of fermionic systems. She holds a B.Sc. and M.Sc. in Physics from Università degli Studi di Milano (2016–2022) and has conducted a visiting research stint at the Lawrence Berkeley National Laboratory in Spring 2025.

Research Interests: Martina’s research explores quantum computing applications in chemistry and physics, including block encoding techniques for matrix product operators, tensor networks, and multiwavelet-based methods. She investigates computational methods to optimize wavefunctions and simulate fermionic systems at the complete basis set limit.

Teaching: She contributes to courses such as Informatics for Engineering (C programming) and Advanced Concepts of Quantum Computing, spanning both lectures and seminars.

Publications: Her recent work includes advancements in quantum algorithm design and computational methods, such as optimizing wavefunctions using multiwavelets and DMRG, and developing block encoding frameworks for matrix product operators.

Supervised Work:

• Cecilie Priller (B.Sc. 2024): Computational complexity analysis of linear combination of unitaries block encoding
• Robert-Mihai Budai (M.Sc. 2024): Quantum algorithms using Lindbladian dissipation
• Defne Tolun (B.Sc. 2025): Complexity analysis of linear combination of unitaries in quantum chemistry