Science Operations Manager, Quantum AI Lab

Dr. 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. His applied focus in quantum optimization is in complex scheduling, telecommunication networks, and robotics/distributed AI, also in collaborations with academia and the private sector.

Featured publication links:

  • 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