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Olivia Di Matteo

Assistant Professor

Department of Electrical and Computer Engineering

Current Projects

  • Methods and tools for debugging quantum programs
  • Machine learning for quantum program optimization
  • Hardware-aware compilation for spin qubit processors
  • Quantum computing for physics applications

Selected Publications

  1. N. Quetschlich, O. Di Matteo. An experience-based classification of quantum bugs in quantum software. Computing 107, 193 (2025).
  2. O. Di Matteo, S. Núñez-Corrales, M. Stęchły, S. P. Reinhardt, T. Mattson. An Abstraction Hierarchy Toward Productive Quantum Programming. In Proc. of 2024 IEEE International Conference on Quantum Computing and Engineering (QCE), Montreal, PQ. pp. 979-989 (2024).
  3. Di Matteo (2024) On the need for effective tools for debugging quantum programs. In Proc. of ICSE 5th International Workshop on Quantum Software Engineering (Q-SE 2024).
  4. Sarma, O. Di Matteo, A. Abhishek, P. C. Srivastava. Prediction of the neutron drip line in oxygen isotopes using quantum computation. Phys. Rev. C 108 064305 (2023).
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