Paris, France – March 13, 2024 – A Franco-Singaporean collaboration has been announced to benchmark and optimize the energy efficiency of quantum computing. The partnership includes HBA, the Atos Group business leading in advanced computing, A*STAR’s Institute of High Performance Computing (IHPC) in Singapore, and MajuLab, an international research laboratory in quantum physics. Majulab is a joint laboratory of the Centre National de la Recherche Scientifique (CNRS), Université Côte d’Azur (UCA), Sorbonne University (SU), National University of Singapore (NUS) and Nanyang Technological University (NTU).
In the context of conventional high-performance computing (HPC) environments, energy optimizations are generally achieved through improved hardware architectures and better cooling systems. However new approaches must be set up to optimize energetic consumption in future quantum computers.
Quantum computing leverages fundamental science to solve complex problems much more efficiently than classical methods: this is known as the quantum computational advantage. While the age of large-scale, fault-tolerant quantum computing seems years away, Noisy-Intermediate Scale Quantum (NISQ) devices are already a reality. In such devices, the energy cost to solve a problem on quantum devices could be much less than solving the same problem on a classical HPC system. This offers the possibility that the energy advantage of quantum algorithms may be established before quantum the computational advantage itself.
This research collaboration aims to build a user-friendly framework for accurate benchmarking of energy efficiency in NISQ/near-term quantum computing systems. This framework is based on a novel holistic methodology recently proposed by one of the partners[1], to estimate and optimize energy consumption for the full stack of the quantum computer.
The three partners will conduct research on various options to estimate the performance and energy consumption of various algorithms, supported by HBA’s quantum emulator Qaptiva 800, which can emulate over 100 qubits depending on the algorithm and emulator used. The collaboration will rely on three main work groups: control parameters and energy benchmarking metric; implementation of resource monitoring within HBA’s quantum emulation environment; and application-based benchmarking (VQE).
Dr. Cédric Bourrasset, Global Head of HPC-AI and Quantum Computing, HBA, Atos Group, said “While the power for computing keeps increasing, our commitment to decarbonization and sustainability hasn’t diminished. For decades, HBA has been committed to greener technologies, leading the HPC market with its patented Direct Liquid Cooling. The Group is as equally committed to promoting a greener quantum computing, which we know will be at the heart of computing technologies in the coming years.”
Dr. Su Yi, Executive Director, A*STAR’s IHPC, said “Sustainable computing is closely tied to the potential of quantum computing where near-term quantum algorithms offer energy-efficiency and problem-solving potential that could drive quantum technology adoption. A*STAR’s Institute of High Performance Computing (IHPC) is working together with our research partners to advance this intersection of sustainability and quantum technologies.”
Alexia Auffèves, CNRS Research Director, = Director of the MajuLab, and Co-founder of the Quantum Energy Initiative, said “The collaboration is aligned with the objectives of the recently launched Quantum Energy Initiative, which aims to keep in check the energy footprint of quantum technologies already at their early stage. It will contribute to set up solid, objectives and figures of merit to really assess if quantum energy advantages can be reached. This kind of work is essential to mitigate the risk of green quantum hype. It directly relates to the new QEI working group P3329 at IEEE, which is currently developing a standard of energy efficiency.”
