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Potential Energy Advantage of Quantum Economy (2308.08025v1)

Published 15 Aug 2023 in quant-ph, cs.AI, cs.ET, cs.LG, and stat.ML

Abstract: Energy cost is increasingly crucial in the modern computing industry with the wide deployment of large-scale machine learning models and LLMs. For the firms that provide computing services, low energy consumption is important both from the perspective of their own market growth and the government's regulations. In this paper, we study the energy benefits of quantum computing vis-a-vis classical computing. Deviating from the conventional notion of quantum advantage based solely on computational complexity, we redefine advantage in an energy efficiency context. Through a Cournot competition model constrained by energy usage, we demonstrate quantum computing firms can outperform classical counterparts in both profitability and energy efficiency at Nash equilibrium. Therefore quantum computing may represent a more sustainable pathway for the computing industry. Moreover, we discover that the energy benefits of quantum computing economies are contingent on large-scale computation. Based on real physical parameters, we further illustrate the scale of operation necessary for realizing this energy efficiency advantage.

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Authors (3)
  1. Junyu Liu (141 papers)
  2. Hansheng Jiang (6 papers)
  3. Zuo-Jun Max Shen (30 papers)

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