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. Di Matteo, S. Núñez-Corrales, M. Stęchły, S. P. Reinhardt, T. Mattson (2024) An Abstraction Hierarchy Toward Productive Quantum Programming. To appear in Proc. of IEEE Quantum Week QCE 24.
  2. 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).
  3. Sarma, O. Di Matteo, A. Abhishek, P. C. Srivastava (2023) Prediction of the neutron drip line in oxygen isotopes using quantum computation. Phys. Rev. C 108 064305.
  4. Bottrill, M. Pandey, O. Di Matteo (2023) Exploring the Potential of Qutrits for Quantum Optimization of Graph Coloring. In Proc. of IEEE Quantum Week QCE 23.
  5. Di Matteo, J. Izaac, T. Bromley, A. Hayes, C. Lee, M. Schuld, A. Száva, C. Roberts, and N. Killoran (2023) Quantum computing with differentiable quantum transforms. ACM Transactions on Quantum Computing 4, 3, Article 22.