People / current team

Davide Venturelli

Associate Director, Quantum Technologies. Quantum optimization, emerging computing systems, and research programs.

Davide Venturelli leads RIACS quantum computing activities and research programs spanning quantum optimization, emerging computing architectures, and scientific applications.

Scholarly output

Publications

Figure-derived thumbnail for A Copositive Framework for Analysis of Hybrid Ising-Classical Algorithms
2022
Open paper

A Copositive Framework for Analysis of Hybrid Ising-Classical Algorithms

Robin Brown, David E Bernal Neira, Davide Venturelli, Marco Pavone SIAM Journal on Optimization, 34(2), 1455-1489

Figure-derived thumbnail for A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications
2026
Open paper

A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications

Ruomin Zhu, Abhishek Kumar Singh, Jérémie Laydevant, Fan O. Wu, Ari Kapelyan, Davide Venturelli, Kyle Jamieson, Peter L. McMahon arXiv preprint arXiv:2604.17109

Figure-derived thumbnail for A Multilevel Approach For Solving Large-Scale QUBO Problems With Noisy Hybrid Quantum Approximate Optimization
2024
Open paper

A Multilevel Approach For Solving Large-Scale QUBO Problems With Noisy Hybrid Quantum Approximate Optimization

Filip B Maciejewski, Bao Gia Bach, Maxime Dupont, P Aaron Lott, Bhuvanesh Sundar, David E Bernal Neira, Ilya Safro, Davide Venturelli 2024 IEEE High Performance Extreme Computing Conference (HPEC), 1-10

Figure-derived thumbnail for A NASA perspective on quantum computing: Opportunities and challenges
2017
Open paper

A NASA perspective on quantum computing: Opportunities and challenges

Rupak Biswas, Zhang Jiang, Kostya Kechezhi, Sergey Knysh, Salvatore Mandrà, Bryan O'Gorman, Alejandro Perdomo-Ortiz, Andre Petukhov, John Realpe-Gómez, Eleanor Rieffel, Davide Venturelli, Fedir Vasko, Zhihui Wang Parallel Computing, 64, 81-98

Figure-derived thumbnail for Accelerating Continuous Variable Coherent Ising Machines via Momentum
2024
Open paper

Accelerating Continuous Variable Coherent Ising Machines via Momentum

Robin Brown, Davide Venturelli, Marco Pavone, David E Bernal Neira Lecture Notes in Computer Science, 109-126

2024
Open paper

Assessing and advancing the potential of quantum computing: A NASA case study

Eleanor G. Rieffel, Ata Akbari Asanjan, M. Sohaib Alam, Namit Anand, David E. Bernal Neira, Sophie Block, Lucas T. Brady, Steve Cotton, Zoe Gonzalez Izquierdo, Shon Grabbe, Erik Gustafson, Stuart Hadfield, P. Aaron Lott, Filip B. Maciejewski, Salvatore Mandrà, Jeffrey Marshall, Gianni Mossi, Humberto Munoz Bauza, Jason Saied, Nishchay Suri, Davide Venturelli, Zhihui Wang, Rupak Biswas Future Generation Computer Systems, 160, 598-618

Figure-derived thumbnail for Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications
2024
Open paper

Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications

David E Bernal Neira, Robin Brown, Pratik Sathe, Filip Wudarski, Marco Pavone, Eleanor G Rieffel, Davide Venturelli Quantum Machine Intelligence, 7(2), 86

Figure-derived thumbnail for Combinatorial Reasoning: Selecting Reasons in Generative AI Pipelines via Combinatorial Optimization
2024
Open paper

Combinatorial Reasoning: Selecting Reasons in Generative AI Pipelines via Combinatorial Optimization

Mert Esencan, Tarun Advaith Kumar, Ata Akbari Asanjan, P Aaron Lott, Masoud Mohseni, Can Unlu, Davide Venturelli, Alan Ho arXiv preprint arXiv:2407.00071

Figure-derived thumbnail for Comparing and integrating constraint programming and temporal planning for quantum circuit compilation
2018
Open paper

Comparing and integrating constraint programming and temporal planning for quantum circuit compilation

Kyle Booth, Minh Do, J Beck, Eleanor Rieffel, Davide Venturelli, Jeremy Frank Proceedings of the International Conference on Automated Planning and Scheduling

Figure-derived thumbnail for Compiling quantum circuits to realistic hardware architectures using temporal planners
2018
Open paper

Compiling quantum circuits to realistic hardware architectures using temporal planners

Davide Venturelli, Minh Do, Eleanor Rieffel, Jeremy Frank Quantum Science and Technology

Figure-derived thumbnail for Design and execution of quantum circuits using tens of superconducting qubits and thousands of gates for dense Ising optimization problems
2023
Open paper

Design and execution of quantum circuits using tens of superconducting qubits and thousands of gates for dense Ising optimization problems

Filip B. Maciejewski, Stuart Hadfield, Benjamin Hall, Mark Hodson, Maxime Dupont, Bram Evert, James Sud, M. Sohaib Alam, Zhihui Wang, Stephen Jeffrey, Bhuvanesh Sundar, P. Aaron Lott, Shon Grabbe, Eleanor G. Rieffel, Matthew J. Reagor, Davide Venturelli arXiv preprint arXiv:2308.12423

Figure-derived thumbnail for Entanglement Across Separate Silicon Dies in a Modular Superconducting Qubit Device
2021
Open paper

Entanglement Across Separate Silicon Dies in a Modular Superconducting Qubit Device

Alysson Gold, JP Paquette, Anna Stockklauser, Matthew J. Reagor, M. Sohaib Alam, Andrew Bestwick, Nicolas Didier, Ani Nersisyan, Feyza Oruc, Armin Razavi, Ben Scharmann, Eyob A. Sete, Biswajit Sur, Davide Venturelli, Cody James Winkleblack, Filip Wudarski, Mike Harburn, Chad Rigetti npj Quantum Information

Figure-derived thumbnail for Experimental investigation of performance differences between Coherent Ising Machines and a quantum annealer
2019
Open paper

Experimental investigation of performance differences between Coherent Ising Machines and a quantum annealer

Ryan Hamerly, Takahiro Inagaki, Peter L. McMahon, Davide Venturelli, Alireza Marandi, Tatsuhiro Onodera, Edwin Ng, Carsten Langrock, Kensuke Inaba, Toshimori Honjo, Koji Enbutsu, Takeshi Umeki, Ryoichi Kasahara, Shoko Utsunomiya, Satoshi Kako, Ken-ichi Kawarabayashi, Robert L. Byer, Martin M. Fejer, Hideo Mabuchi, Dirk Englund, Eleanor Rieffel, Hiroki Takesue, Yoshihisa Yamamoto Science advances

Figure-derived thumbnail for From ansätze to Z-gates: A NASA view of quantum computing
2019
Open paper

From ansätze to Z-gates: A NASA view of quantum computing

Eleanor G. Rieffel, Stuart Hadfield, Tad Hogg, Salvatore Mandrà, Jeffrey Marshall, Gianni Mossi, Bryan O'Gorman, Eugeniu Plamadeala, Norm M. Tubman, Davide Venturelli, Walter Vinci, Zhihui Wang, Max Wilson, Filip Wudarski, Rupak Biswas Future Trends of HPC in a Disruptive Scenario

Figure-derived thumbnail for From quantum feature maps to quantum reservoir computing: perspectives and applications
2025
Open paper

From quantum feature maps to quantum reservoir computing: perspectives and applications

Casper Gyurik, Filip Wudarski, Evan Philip, Antonio Sannia, Hossein Sadeghi, Oleksandr Kyriienko, Davide Venturelli, Antonio A. Gentile arXiv preprint arXiv:2510.01797

Figure-derived thumbnail for From the quantum approximate optimization algorithm to a quantum alternating operator ansatz
2019
Open paper

From the quantum approximate optimization algorithm to a quantum alternating operator ansatz

Stuart Hadfield, Zhihui Wang, Bryan O'Gorman, Eleanor G Rieffel, Davide Venturelli, Rupak Biswas Algorithms

Figure-derived thumbnail for How to Build a Quantum Supercomputer: Scaling Challenges and Opportunities
2024
Open paper

How to Build a Quantum Supercomputer: Scaling Challenges and Opportunities

Masoud Mohseni, Artur Scherer, K. Grace Johnson, Oded Wertheim, Matthew Otten, Namit Anand, Navid Anjum Aadit, Yuri Alexeev, Gilad Ben-Shach, Kirk M. Bresniker, Kerem Y. Camsari, Barbara Chapman, Soumitra Chatterjee, Shuvro Chowdhury, Gebremedhin A. Dagnew, Tom Dvir, Aniello Esposito, Farah Fahim, Michael Ferguson, Marco Fiorentino, Archit Gajjar, Katerina Gratsea, Gaurav Gyawali, Christian Heiter, Ali H. Z. Kavaki, Abdullah Khalid, Xiangzhou Kong, Bohdan Kulchytskyy, Elica Kyoseva, Ruoyu Li, P. Aaron Lott, Igor L. Markov, Robert F. McDermott, Lucas Morais, Giacomo Pedretti, Pooja Rao, Eleanor Rieffel, Allyson Silva, John Sorebo, Panagiotis Spentzouris, Ziv Steiner, Boyan Torosov, Davide Venturelli, Robert J. Visser, Zak Webb, Xin Zhan, Yonatan Cohen, Pooya Ronagh, Alan Ho, Raymond G. Beausoleil, John M. Martinis Publication venue not recorded

Figure-derived thumbnail for Hybrid quantum-classical reservoir computing for simulating chaotic systems
2024
Open paper

Hybrid quantum-classical reservoir computing for simulating chaotic systems

Filip Wudarski, Daniel O'Connor, Shaun Geaney, Ata Akbari Asanjan, Max Wilson, Elena Strbac, P. Aaron Lott, Davide Venturelli arXiv preprint arXiv:2311.14105

Figure-derived thumbnail for Improving Quantum Approximate Optimization by Noise-Directed Adaptive Remapping
2024
Open paper

Improving Quantum Approximate Optimization by Noise-Directed Adaptive Remapping

Filip B Maciejewski, Jacob Biamonte, Stuart Hadfield, Davide Venturelli Quantum, 9, 1906

Figure-derived thumbnail for Integer programming techniques for minor-embedding in quantum annealers
2020
Open paper

Integer programming techniques for minor-embedding in quantum annealers

David E Bernal, Kyle EC Booth, Raouf Dridi, Hedayat Alghassi, Sridhar Tayur, Davide Venturelli Lecture Notes in Computer Science, 112-129

Figure-derived thumbnail for Inter-generational comparison of quantum annealers in solving hard scheduling problems
2021
Open paper

Inter-generational comparison of quantum annealers in solving hard scheduling problems

Bibek Pokharel, Zoe Gonzalez Izquierdo, P Aaron Lott, Elena Strbac, Krzysztof Osiewalski, Emmanuel Papathanasiou, Alexei Kondratyev, Davide Venturelli, Eleanor Rieffel Quantum Information Processing, 22(10), 364

2021
Open paper

Ising Machines' Dynamics and Regularization for Near-Optimal Large and Massive MIMO Detection

Abhishek Kumar Singh, Kyle Jamieson, Davide Venturelli, Peter McMahon in IEEE Transactions on Wireless Communications, vol. 21, no. 12, pp. 11080-11094, Dec. 2022

Figure-derived thumbnail for Leveraging quantum annealing for large MIMO processing in centralized radio access networks
2019
Open paper

Leveraging quantum annealing for large MIMO processing in centralized radio access networks

Minsung Kim, Davide Venturelli, Kyle Jamieson Proceedings of the ACM Special Interest Group on Data Communication, 241-255

Figure-derived thumbnail for Mixer-Phaser Ansätze for Quantum Optimization with Hard Constraints
2022
Open paper

Mixer-Phaser Ansätze for Quantum Optimization with Hard Constraints

Ryan LaRose, Eleanor Rieffel, Davide Venturelli Quantum Machine Intelligence

Figure-derived thumbnail for Noise-Directed Adaptive Remapping for Integer Optimization: from qubits to (encoded) qudits
2026
Open paper

Selected highlight

Noise-Directed Adaptive Remapping for Integer Optimization: from qubits to (encoded) qudits

Stuart Hadfield, Filip B. Maciejewski, Davide Venturelli arXiv preprint arXiv:2606.28234

Figure-derived thumbnail for Numerical Gate Synthesis for Quantum Heuristics on Bosonic Quantum Processors
2022
Open paper

Numerical Gate Synthesis for Quantum Heuristics on Bosonic Quantum Processors

A Barış Özgüler, Davide Venturelli Frontiers in Physics

Figure-derived thumbnail for Physics-Inspired Heuristics for Soft MIMO Detection in 5G New Radio and Beyond
2021
Open paper

Physics-Inspired Heuristics for Soft MIMO Detection in 5G New Radio and Beyond

Minsung Kim, Salvatore Mandrà, Davide Venturelli, Kyle Jamieson Proceedings of the 27th Annual International Conference on Mobile Computing and Networking, 42-55

Figure-derived thumbnail for Physics-Inspired Probabilistic Computing for Extremely Large-Scale MIMO Detection in Future 6G Wireless Systems
2026
Open paper

Physics-Inspired Probabilistic Computing for Extremely Large-Scale MIMO Detection in Future 6G Wireless Systems

Andrea Grimaldi, Christian Duffee, Eleonora Raimondo, Edoardo Piccolo, Deborah Volpe, Filip B. Maciejewski, Mario Carpentieri, Massimo Chiappini, Pedram Khalili Amiri, Davide Venturelli, Giovanni Finocchio arXiv preprint arXiv:2605.07884

Figure-derived thumbnail for Power of pausing: Advancing understanding of thermalization in experimental quantum annealers
2019
Open paper

Power of pausing: Advancing understanding of thermalization in experimental quantum annealers

Jeffrey Marshall, Davide Venturelli, Itay Hen, Eleanor G Rieffel Physical Review Applied

Figure-derived thumbnail for Quantum annealing applied to de-conflicting optimal trajectories for air traffic management
2019
Open paper

Quantum annealing applied to de-conflicting optimal trajectories for air traffic management

Tobias Stollenwerk, Bryan O’Gorman, Davide Venturelli, Salvatore Mandra, Olga Rodionova, Hokkwan Ng, Banavar Sridhar, Eleanor Gilbert Rieffel, Rupak Biswas IEEE transactions on intelligent transportation systems

Figure-derived thumbnail for Quantum Annealing for Large MIMO Downlink Vector Perturbation Precoding
2021
Open paper

Quantum Annealing for Large MIMO Downlink Vector Perturbation Precoding

Srikar Kasi, Abhishek Kumar Singh, Davide Venturelli, Kyle Jamieson ICC 2021 - IEEE International Conference on Communications, 1-6

Figure-derived thumbnail for Quantum annealing implementation of job-shop scheduling
2015
Open paper

Quantum annealing implementation of job-shop scheduling

Davide Venturelli, Dominic JJ Marchand, Galo Rojo arXiv preprint arXiv:1506.08479

Figure-derived thumbnail for Quantum annealing speedup of embedded problems via suppression of Griffiths singularities
2020
Open paper

Quantum annealing speedup of embedded problems via suppression of Griffiths singularities

Sergey Knysh, Eugeniu Plamadeala, Davide Venturelli Physical Review B

Figure-derived thumbnail for Quantum annealing via environment-mediated quantum diffusion
2017
Open paper

Quantum annealing via environment-mediated quantum diffusion

Vadim N Smelyanskiy, Davide Venturelli, Alejandro Perdomo-Ortiz, Sergey Knysh, Mark I Dykman Physical review letters

Figure-derived thumbnail for Quantum Approximate Optimization via Noise-Directed Adaptive Warm-Starting
2026
Open paper

Selected highlight

Quantum Approximate Optimization via Noise-Directed Adaptive Warm-Starting

Filip B. Maciejewski, Stuart Hadfield, Oscar Wallis, George Pennington, Sebastian Brandhofer, Stefan Woerner, Daniel J. Egger, Davide Venturelli arXiv preprint arXiv:2607.09368

Figure-derived thumbnail for Quantum computing hardware for HEP algorithms and sensing
2022
Open paper

Quantum computing hardware for HEP algorithms and sensing

M. Sohaib Alam, Sergey Belomestnykh, Nicholas Bornman, Gustavo Cancelo, Yu-Chiu Chao, Mattia Checchin, Vinh San Dinh, Anna Grassellino, Erik J. Gustafson, Roni Harnik, Corey Rae Harrington McRae, Ziwen Huang, Keshav Kapoor, Taeyoon Kim, James B. Kowalkowski, Matthew J. Kramer, Yulia Krasnikova, Prem Kumar, Doga Murat Kurkcuoglu, Henry Lamm, Adam L. Lyon, Despina Milathianaki, Akshay Murthy, Josh Mutus, Ivan Nekrashevich, JinSu Oh, A. Barış Özgüler, Gabriel Nathan Perdue, Matthew Reagor, Alexander Romanenko, James A. Sauls, Leandro Stefanazzi, Norm M. Tubman, Davide Venturelli, Changqing Wang, Xinyuan You, David M. T. van Zanten, Lin Zhou, Shaojiang Zhu, Silvia Zorzetti arXiv e-prints

Figure-derived thumbnail for Quantum Enhanced Greedy Solver for Optimization Problems
2023
Open paper

Quantum Enhanced Greedy Solver for Optimization Problems

Maxime Dupont, Bram Evert, Mark J. Hodson, Bhuvanesh Sundar, Stephen Jeffrey, Yuki Yamaguchi, Dennis Feng, Filip B. Maciejewski, Stuart Hadfield, M. Sohaib Alam, Zhihui Wang, Shon Grabbe, P. Aaron Lott, Eleanor G. Rieffel, Davide Venturelli, Matthew J. Reagor arXiv preprint arXiv:2303.05509

Figure-derived thumbnail for Sequential Reservoir Computing for Efficient High-Dimensional Spatiotemporal Forecasting
2026
Open paper

Sequential Reservoir Computing for Efficient High-Dimensional Spatiotemporal Forecasting

Ata Akbari Asanjan, Filip Wudarski, Daniel O'Connor, Shaun Geaney, Elena Strbac, P. Aaron Lott, Davide Venturelli arXiv preprint arXiv:2601.00172

Figure-derived thumbnail for Setting angles in quantum approximate optimization at utility-scale
2026
Open paper

Setting angles in quantum approximate optimization at utility-scale

Maosheng Guo, Joel Jurado Diaz, Anurag Ramesh, Conrad J. Haupt, Alberto Baiardi, Dimitrios Athanasakos, M. Emre Sahin, Oscar Wallis, George Pennington, Christian Arenz, Sebastian Brandhofer, Georgios Korpas, Ieva Čepaitė, J. A. Montañez-Barrera, Jakub Marecek, Davide Venturelli, Stephan Eidenbenz, David E. Bernal Neira, Daniel J. Egger arXiv preprint arXiv:2606.05311

Figure-derived thumbnail for Towards Hybrid Classical-Quantum Computation Structures in Wirelessly-Networked Systems
2020
Open paper

Towards Hybrid Classical-Quantum Computation Structures in Wirelessly-Networked Systems

Minsung Kim, Davide Venturelli, Kyle Jamieson Proceedings of the 19th ACM Workshop on Hot Topics in Networks, 110-116

Figure-derived thumbnail for Uniformly Decaying Subspaces for Error Mitigated Quantum Computation
2024
Open paper

Uniformly Decaying Subspaces for Error Mitigated Quantum Computation

Nishchay Suri, Jason Saied, Davide Venturelli Physical Review A, 110(4), 042621

Figure-derived thumbnail for Uplink MIMO Detection using Ising Machines: A Multi-Stage Ising Approach
2024
Open paper

Uplink MIMO Detection using Ising Machines: A Multi-Stage Ising Approach

Abhishek Kumar Singh, Ari Kapelyan, Minsung Kim, Davide Venturelli, Peter L McMahon, Kyle Jamieson IEEE Transactions on Wireless Communications