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Bruno Abreu

University of Pittsburgh & Carnegie Mellon University
Pittsburgh Supercomputing Center
Education
Ph.D. in Physics
Profile

I am a Doctor of Science (University of Campinas) with a background in condensed matter physics. I co-led the Quantum Computing activities at the National Center for Supercomputing Applications (NCSA), where I was a Research Scientist focusing on QC and machine learning. Currently, I am the Deputy Scientific Director at the Pittsburgh Supercomputing Center, where I focus on advancing scientific research enabled by cutting-edge cyberinfrastructure, interacting closely with researchers at Carnegie Mellon University, the University of Pittsburgh, and several other partners in the Commonwealth of Pennsylvania.

Research

I employ stochastic methods to simulate quantum systems and circuits and seek real-world scientific applications that can display quantum advantage in the NISQ-era devices. I also develop abstract programming models and frameworks for distributed and hybrid quantum-classical computing with increased algorithmic expression, composability, and scalability toward potential quantum applications, providing standard platforms for collaborative efforts between application developers and quantum scientists.

Most Cited Publications

- Properties of the superfluid in the disordered Bose-Hubbard model, https://doi.org/10.1103/PhysRevA.98.023628

- Superstripes and quasicrystals in bosonic systems with hard-soft corona interactions, https://doi.org/10.1103/PhysRevB.105.094505

- quAPL: Modeling Quantum Computation in an Array Programming Language, https://doi.org/10.1109/QCE57702.2023.00114

- Properties of fermionic systems with the path-integral ground state method, doi: 10.21468/SciPostPhysCore.6.2.031

- Modeling He Clusters with Wave Functions Based on Neural Networks, https://doi.org/10.1007/s10909-024-03061-w

Recent Publications

- Modeling He Clusters with Wave Functions Based on Neural Networks, https://doi.org/10.1007/s10909-024-03061-w

- quAPL: Modeling Quantum Computation in an Array Programming Language, https://doi.org/10.1109/QCE57702.2023.0011

- Properties of fermionic systems with the path-integral ground state method, doi: 10.21468/SciPostPhysCore.6.2.031

- Quantum State Passing Interfaces for Distributed Quantum Computing, https://www.ideals.illinois.edu/items/128370

- Statistical constraints on climate model parameters using a scalable cloud-based inference framework, doi:10.1017/eds.2023.12