Project / active

Expeditions: Coherent Ising Machines for Optimization, Machine Learning and Neuromorphic Computing

An NSF Expeditions program on coherent Ising machines and their role in optimization, machine learning, and neuromorphic computing research.

This Expeditions project studies coherent Ising machines as emerging computational systems for optimization, machine learning, and neuromorphic computing.

Related output / newest first

Project publications

8 linked records

Staff involved

Davide Venturelli Filip Maciejewski

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

arXiv Academy

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

arXiv Academy

Open paper

Pushing the Boundary of Quantum Advantage in Hard Combinatorial Optimization with Probabilistic Computers

Shuvro Chowdhury, Navid Anjum Aadit, Andrea Grimaldi, Eleonora Raimondo, Atharva Raut, P. Aaron Lott, Johan H. Mentink, Marek M. Rams, Federico Ricci-Tersenghi, Massimo Chiappini, Luke S. Theogarajan, Tathagata Srimani, Giovanni Finocchio, Masoud Mohseni, Kerem Y. Camsari Nature Communications 16 (1), 9193

DOI arXiv Academy

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

DOI arXiv

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

arXiv

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

DOI arXiv

Open paper

Anomaly Detection in Aeronautics Data with Quantum-compatible Discrete Deep Generative Model

Thomas Templin, Milad Memarzadeh, Walter Vinci, P Aaron Lott, Ata Akbari Asanjan, Anthony Alexiades Armenakas, Eleanor Rieffel Machine Learning: Science and Technology, 4(3), 035018

DOI arXiv Academy

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

DOI arXiv Academy