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Quantum Computing Energy and Resource Impacts

Quantum computing has become the subject of enormous attention worldwide, owing to breakthrough technological developments in recent years and the potential for dramatically accelerating compute over the coming decades.

Quantum Computing Energy and Resource Impacts

Quantum computing has become the subject of enormous attention worldwide, owing to breakthrough technological developments in recent years and the potential for dramatically accelerating compute over the coming decades. However, the future implications of large-scale quantum-accelerated supercomputing for energy, water, and other sustainability considerations have not yet been quantified, especially how they compare to today’s AI data centers. Oak Ridge National Laboratory (ORNL) has completed an initial effort toward systematic assessment of these impacts: the QUEENS project. Results, insights, and open questions are summarized in two papers (references below). One overarching conclusion: planning a robust path for the future of quantum computing requires strong collaboration between research communities across engineering, physics, environmental sciences, economics, policy, and energy systems and scenario modeling.

More publications

A harmonised dataset for Earth system foundation models

Foundation models for Earth systems have so far been trained primarily on physical climate and weather data, with limited representation of the human systems that both drive and respond to environmental change. The lack of a unified global training resource that combines climate, land, ocean, cryosphere, infrastructure, hazards, and socioeconomic