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Davide Venturelli

Davide Venturelli works in the NASA Intelligent System Division (TI) as a research scientist under the NASA Academic Mission Service contract. He is currently Quantum Computing team lead and Science Operations Manager of the Research Institute of Advanced Computer Science (RIACS) at USRA.


Venturelli graduated from Ecole Normale Superieure de Lyon and obtained his Ph.D. in Numerical Simulations of the Condensed Matter at the International School for Advanced Studies (SISSA) in Trieste and in Nanophysics at the Universite de Grenoble (CNRS/UJF). He worked as a post-doc at Scuola Normale Superiore in Pisa, Italy, in the Condensed Matter and Information Theory group. Before joining QuAIL, his past publications include quantum condensed matter, many-body theory, device designs in collaboration with experimentalists, quantum thermodynamics, quantum phase transitions, and non-equilibrium spin/charge/energy transport in mesoscopic systems.

Research Interests

Venturelli is currently invested in research projects dealing with quantum optimization applications and their near-term implementation in real hardware. The research focus is to accelerate as much as possibile the near-term potential of quantum computing applied to computational challenges of industrial and public interest. This includes research on:

  • programming techniques and physics-based analysis of unconventional computing architectures
  • new hybrid quantum-classical optimization algorithms
  • compilation techniques for gate-model variational algorithms
  • research on new analytic and numerical methods to study the performance of quantum machines

His applied focus on algorithms is in advanced scheduling, telecommunication networks, robotics, AI planning, in collaborations with other governmental institutions, universities and the private sector.

Selected Publications

  • Compiling Quantum Circuits to Realistic Hardware Architectures using Temporal Planners, D. Venturelli, M. Do, E. Rieffel, J. Frank, Quantum Sci. Tech. Vol. 2 (2018) and IJCAI17 arXiv
  • Quantum Annealing via Environment-Mediated Quantum Diffusion, V. Smelyanskiy, D. Venturelli, A. Perdomo-Ortiz, S. Knysh, MI Dykman, Physical Review Letters 118 (6), 066802 (2017) arXiv
  • Quantum Annealing Implementation of Job-Shop Scheduling, D. Venturelli, D. Marchand, G. Rojo, COPLAS Workshop of the 26th International Conference on Automated Planning and Scheduling (2016) arXiv
  • Quantum Optimization of Fully-Connected Spin Glasses, D. Venturelli, S. Mandra, S. Knysh, B. O’Gorman, V. Smelyanskiy, R. Biswas, Physical Review X 5 (3), 031040 (2015) APS open
  • A Case Study in Programming a Quantum Annealer for Hard Operational Planning Problems, E. G. Rieffel, D. Venturelli, B. O’Gorman, M. Do, E. M. Pristay, V. N. Smelyanskiy, Quant. Inf. Process. 1-36 (2014) arXiv

Davide Venturelli
Davide Venturelli
Research Scientist, USRA/RIACS Science Operations Manager

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