QuantumWire

The Optimization Framework Developed by Researchers Based on Quantum Computing Can Reduce Energy Consumption and Carbon Emissions in Data Centers

Researchers from Cornell University have developed an optimization framework that integrates variational quantum circuits with classical optimization, which can reduce the energy consumption in large data centers handling artificial intelligence (AI) workload by 12.5% and reduce carbon emissions by up to 9.8%.

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Software & Algorithms United States
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OptimizationArtificial IntelligenceEnergy ConsumptionQuantum CircuitData CenterQuantum Research

NewsFlash

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