Energy-Aware Quantum-Enhanced Computing Continuum
Carlos J. Barrios H., and Fr\'ed\'eric Le Mou\"el, and Oscar Carrillo

TL;DR
This paper proposes a heterogeneous quantum-enhanced computing architecture that emphasizes energy efficiency through integrated quantum processing within a multi-layered edge-cloud-HPC system.
Contribution
It introduces a novel energy-aware, multi-layered architecture with quantum-classical fusion to reduce energy waste and promote sustainable high-performance computing.
Findings
Tighter system integration reduces energy waste.
The architecture aims for a Green Performance Advantage.
Energy per problem is minimized in the proposed system.
Abstract
We discuss a Quantum-Enhanced Computing Continuum, a heterogeneous, hybrid architecture that integrates quantum processing units (QPUs) within an Edge-Cloud-HPC fabric. Promote sustainability by shifting from performance to "energy-aware integration.' The architecture has three layers: a Physical Layer with shared fiber-optic infrastructure, a Control and Orchestration Layer managed by the user, and an Application Layer with an Adaptive Quantum Classical Fusion (AQCF) framework. Tighter system integration, like moving from cloud coupling to cryogenic logic, reduces energy waste and "thermal footprints.' The aim is a Green Performance Advantage: energy per problem solved in the era of Advanced Computing.
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