Universities Space Research Association Research Institute for Advanced Computer Science
Resources
Quantum Research Task Force

Program / completed

NSF SpecEES

Advancing the Wireless Spectral Frontier with Quantum-Enabled Computational Techniques (QENeTs): quantum and quantum-inspired methods for high-performance wireless decoding and MIMO processing.

The QENeTs collaboration with Princeton University explored how quantum computing and Ising optimization could address the computational bottlenecks of wireless communications. The work included maximum-likelihood decoding, large MIMO detection, and quantum annealing for precoding, tested against classical approaches.

USRA’s NSF SpecEES award CNS-1824470 ran from October 2018 through February 2022. Publications may appear after this award period. Publication assignments below follow acknowledgments of this USRA award rather than unrelated NSF support for collaborators.

Related output / newest first

Program publications

6 linked records
Staff involved

Davide VenturelliFilip WudarskiDavid Bernal Neira

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

DOI arXiv Academy Google Scholar recordGoogle Scholar record
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

DOI arXiv Academy
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

DOI arXiv Academy
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

DOI arXiv Hardware: D-Wave
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

DOI arXiv Academy Hardware: D-Wave
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

DOI arXiv Hardware: D-Wave