Quantum computing emissions largely from hardware not electricity use
A Carbon-Aware Quantum Computing Framework for LCA-Driven Sustainability in Quantum Cloud Services
Software Engineering
Summary
Calculating the environmental impact of quantum computers is tricky, and these researchers found that most of the carbon footprint comes from the hardware itself, not the energy they use while running. This is very different from regular computers, where electricity use is usually the biggest factor. The team developed a way to help cloud providers understand and manage the carbon footprint of quantum computer services based on actual life cycle data. They showed that making quantum computers last longer and using them more efficiently matters more than just buying renewable electricity.
What this means in practice
- •For quantum cloud service operators: Use life cycle carbon data to prioritize hardware utilization and service life extension for reducing quantum cloud services’ emissions.
- •For data center facility managers: Incorporate carbon-aware metrics based on quantum hardware manufacturing impacts when planning infrastructure upgrades involving quantum devices.
Authors
Muhammad Umar, Nauman Arshad, Azeem Akbar, Arif Ali Khan
Abstract
Quantum computing's environmental footprint remains poorly understood relative to classical infrastructure, and as quantum computing moves toward cloud delivery, Quantum Cloud Service (QCS) providers lack actionable guidance beyond platform-level carbon-accounting frameworks. Objective: This study extends the carbon-aware quantum computing (CQC) framework from a platform-level to a service-level model that translates empirical life cycle assessment (LCA) findings of a superconducting quantum computer into guidance for QCS providers. Method: We modeled the CQC framework via service-level embodied-carbon allocation, load-independent and load-proportional operational decomposition, and a workload-resolved application offset on the basis of results acquired through a cradle-to-grave LCA of a superconducting quantum platform. Results: The five-year footprint is 583 t CO2e (GKP) and 10,570 t (surface-code), dominated by embodied carbon (77.3-85.2%), with operational-embodied parity not reached until 17.0-28.7 years versus 2.7 years for classical comparators. This reorders provider levers: utilisation yields the largest gain (19.7x), followed by service life extension (59.9%) and electricity supply (6.5x), while operational efficiency and renewable procurement offer limited leverage. Conclusion: Superconducting quantum computers are structurally embodied-carbon-dominated, inverting classical sustainability intuition and motivating direct power measurement and cross-architecture validation as quantum infrastructure scales.