Energy Efficiency for Quantum Computers: Minimizing the Environmental Footprint

Vaishali Sood, Rishi Pal Chauhan

Michael Bahtaji

Spectral Synchronization for Near-Zero Entropy Quantum Operation at Ambient ABSTRACTQuantum computing promises exponential computational advantage, yet its adoption is bottlenecked by the extreme energy and infrastructure requirements of cryogenic cooling. Here we present a material agnostic framework for achieving stable quantum operation at ambient conditions by actively managing environmental entropy. Leveraging real-time spectral analysis and synchronized control across optical, electromagnetic, acoustic, and thermal domains, we demonstrate a theoretical pathway to suppress decoherence and approach near-zero entropy states without dilution refrigeration. This work extends the principle of interferometric environmental monitoring to active entropy and energy management. By engineering destructiveinterference of stochastic fluctuations, the proposed architecture projects a >90% reduction in stabilization power and the elimination of waste heat associated with quantum systems. The implications span fault-tolerant quantum computing, low-power data storage, and sustainable quantum data centers. Our results establish a new paradigm for energy-efficient, roomtemperature quantum technologies with minimal environmental footprint. Keywords: Quantum coherence, Entropy management, Spectral synchronization, Roomtemperature quantum computing, Energy efficiency, Sustainable quantum technology

Priyanka, Piyush Dhuliya, Deepak Singh Rana +3 more

The rapid advancements in quantum computing hold transformative potential for addressing critical global challenges and achieving sustainable development. This paper presents a conceptual framework that aligns quantum computing innovations with the United Nations Sustainable Development Goals (SDGs). It explores key areas such as renewable energy optimization, smart city infrastructure, and climate change mitigation. The study also emphasizes sustainability challenges, including environmental impacts, ethical concerns, and socio-economic considerations like workforce transitions and digital equity. A novel Carbon-aware Quantum Computing model is introduced to minimize the environmental footprint of quantum systems. Finally, the paper proposes a roadmap for ethical and scalable adoption of quantum technologies, ensuring inclusive and resilient societal growth.

Belal Ehsan Baaquie, L. C. Kwek

Sreevatsa Bellary, Ananya Hadadi Raghavendra

Harshraj N. Gadbail, Prateek Verma, Utkarsha Sumedh Pacharaney

Quantum computing (QC) offers a pathway to solving certain problems that classical computers struggle with, such as advanced drug discovery, secure cryptography, and the design of new materials. While these capabilities are promising, the field also raises serious sustainability concerns. Running quantum processors demands significant amounts of energy, rare elements, and specialized infrastructure, often without clear guidelines for environmentally responsible design. This paper reviews the environmental impact of QC by examining inefficiencies in energy use, cooling, and hardware manufacturing. The findings indicate that integrating renewable energy sources, adopting energy-efficient quantum hardware designs, and developing optimized, low-power quantum algorithms are the most effective strategies for reducing QC’s environmental footprint. In addition, a set of potential sustainability metrics is proposed to guide future research and implementation. The discussion points to one clear message: if sustainability is not embedded into quantum technology now, we risk repeating the environmental mistakes made in past computing revolutions.