Quantagonia releases HybridSolver, the first quantum-enabled mathematical optimization solver
(PRweb) Quantagonia has announced the release of HybridSolver, a commercial-grade, quantum-enabled mathematical optimization solver at a competitive price. It’s the first solver to offer a combination of advanced mixed-integer and linear programming algorithms and cutting-edge quantum-inspired algorithms. IQT-News shares the news announcement below:
HybridSolver can handle a broad range of decision models, including excelling with QUBO models, on today’s high-performance computers while also giving users an on-ramp to quantum computing as quantum hardware continues to evolve.
“Businesses told us of their need for a good solver at a competitive price for today’s computers that also gives them an on-ramp to quantum computing,” said Dr. Sebastian Pokutta, Quantagonia co-founder. “We are happy to introduce HybridSolver to meet that need.”
HybridSolver is part of Quantagonia’s developing SaaS, cloud-native, Hybrid Quantum Platform (HQP). Designed to support artificial intelligence/machine learning, simulation, and optimization models. HQP analyzes decision models and transforms them – so they can be optimally solved across available classical and quantum hardware. This gives businesses benefits today while providing an on-ramp to quantum computing without having to rewrite their models.
Founded by Prof. Dr. Sabina Jeschke, Prof. Dr. Sebastian Pokutta, Dirk Zechiel, and Philipp Hannemann, Quantagonia enables hybrid quantum-classical computing through its Hybrid Quantum Platform, delivering benefits on today’s high-performance computers with seamless migration to quantum computers as those continue to evolve. You can learn more on their website: http://www.quantagonia.com/hybridsolver.
Sandra K. Helsel, Ph.D. has been researching and reporting on frontier technologies since 1990. She has her Ph.D. from the University of Arizona.
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