Deborah Volpe

Ph.D. candidate in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 37th cycle (2021-2024)
Department of Electronics and Telecommunications (DET)

Fellow
Student, Education and International Affairs (STUDI)

Docente esterno e/o collaboratore didattico
Department of Electronics and Telecommunications (DET)

Profile

PhD

Research topic

Quantum-related approaches for solving optimization problems

Tutors

Research presentation

Poster

Research interests

Micro- and nanotechnologies, devices, systems and applications
Modeling, simulation and CAD
VLSI theory, design and applications

Biography

Deborah Volpe received the B.Sc. and M.Sc. degrees in Electronic Engineering – in 2019 and 2021, respectively – from Politecnico di Torino, where she is now pursuing the Ph.D. degree in Electrical, Electronics and Communications Engineering. Her research interests mainly focus on the emulation of quantum computers on classical hardware (FPGA, CPU and GPU) and quantum-compliant approaches for solving QUBO problems.

Awards and Honors

  • Article titled: "Towards an Automatic Framework for Solving Optimization Problems with Quantum Computers" accepted and presented at "IEEE International Conference on Quantum Software (QSW)" 2024. Authors: Deborah Volpe, Nils Quetschlich, Mariagrazia Graziano, Giovanna Turvani, and Robert Wille It presents the framework developed in collaboration with the Technical University of Munich, available on GitHub (link in the article) and installable with pip command (2024)
  • Article titled "A Predictive Approach for Selecting the Best Quantum Solver for an Optimization Problem" accepted at "IEEE International Conference on Quantum Computing and Engineering" 2024. Authors: Deborah Volpe, Nils Quetschlich, Mariagrazia Graziano, Giovanna Turvani, and Robert Wille (2024)
  • Article titled: "Scheduling of Satellite Constellation Operations in EO Missions using Quantum Optimization" accepted at the "International Conference on Optimization, Learning Algorithms and Applications" 2024 authors: Vinicius Marchioli, Mattia Boggio, Deborah Volpe, Luca Massotti, and Carlo Novara (2024)
  • Poster presented as WIP titled "AMARETTO: Enabling Efficient Quantum Algorithm Emulation on Low-Tier FPGAs" at Design Automation Conference (DAC) 2024 Authors: C. Conti, D. Volpe, M. Graziano, M. Zamboni, and G. Turvani (2024)

Teaching

Teachings

Master of Science

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Publications

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