3 citations · 6 across the 6 of their papers we have counts for
6 papers
Setting angles in quantum approximate optimization at utility-scale
Maosheng Guo, Joel Jurado Diaz, Anurag Ramesh +16
The quantum approximate optimization algorithm (QAOA) is a powerful heuristic that seeks to solve combinatorial optimization problems using quantum hardware and classical optimizat…
Physics-Inspired Probabilistic Computing for Extremely Large-Scale MIMO Detection in Future 6G Wireless Systems
Andrea Grimaldi, Christian Duffee, Eleonora Raimondo +8
Extremely large-scale multiple-input multiple-output (XL-MIMO) architectures are a key enabler of forthcoming 6G wireless communication networks by allowing high data rates through…
A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications
Ruomin Zhu, Abhishek Kumar Singh, Jérémie Laydevant +5
Ising machines---special-purpose hardware for heuristically solving Ising optimization problems---based on probabilistic bits (p-bits) have been established as a promising alternat…
Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications
David E. Bernal Neira, Robin Brown, Pratik Sathe +4
We discuss guidelines for evaluating the performance of parameterized stochastic solvers for optimization problems, with particular attention to systems that employ novel hardware,…
Accelerating Continuous Variable Coherent Ising Machines via Momentum
Robin Brown, Davide Venturelli, Marco Pavone +1
The Coherent Ising Machine (CIM) is a non-conventional architecture that takes inspiration from physical annealing processes to solve Ising problems heuristically. Its dynamics are…
Hybrid quantum-classical reservoir computing for simulating chaotic systems
Filip Wudarski, Daniel O`Connor, Shaun Geaney +5
Forecasting chaotic systems is a notably complex task, which in recent years has been approached with reasonable success using reservoir computing (RC), a recurrent network with fi…