Energy-Aware Quantum-Enhanced Computing Continuum

2026-04-30

AI Summary

This work addresses the poor energy efficiency of conventional quantum computing architectures and the absence of system-level integration strategies aligned with sustainability goals. It proposes a heterogeneous hybrid architecture that synergistically integrates edge, cloud, and high-performance computing through a three-tier design: a shared optical fiber physical layer, a user-managed control and orchestration layer, and an Adaptive Quantum-Classical Fusion (AQCF) application framework. By extending system integration from the cloud down to the cryogenic logic level, the architecture introduces the novel concept of “green performance advantage.” This approach substantially reduces thermal footprint and energy consumption, achieving measurable gains in energy efficiency—quantified by energy per problem solved—and thereby advancing the development of sustainable, quantum-enhanced computing.

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.

Problem

• energy-aware integration
• quantum-enhanced computing
• thermal footprint
• green performance advantage
• heterogeneous architecture

Innovation

• Quantum-Enhanced Computing Continuum
• Energy-Aware Integration
• Adaptive Quantum Classical Fusion
• Cryogenic Logic
• Green Performance Advantage