Warsaw Quantum Computing Group

We invite you to attend (online) Episode LI of Warsaw Quantum Computing Group meetups!

"Minimizing the energy consumption of large-scale quantum computers"

Marco Fellous-Asiani 

15.06.2023, 18:00 CEST

Video recording: https://www.youtube.com/watch?v=bFcaQ0tpBto

Slides: https://drive.google.com/file/d/19XnXRxgcIWOkrILGcrR7XAgsPc9Qm6Hn/view?usp=sharing 

Abstract: Will the energy demands for large-scale quantum computers prevent their realization? Answering this question mandates a synergy of fundamental physics and engineering: the former for the microscopic aspects of computing performance, and the latter for the energy consumption. With this aim in mind, we propose a methodology dubbed Metric-Noise-Resource (MNR) able to quantify and optimize all aspects of a full-stack quantum computer, bringing together concepts from quantum physics (e.g., models of decoherence and quantum equation of motion), quantum information (e.g., type of quantum error correction, implementation of the algorithm at the logical level), and enabling technologies (e.g., cryogenics, control electronics, and wiring). This holistic approach allows us to minimize the resource cost of the computer. As a proof of concept, we use MNR to minimize the power consumption of a complete model of quantum computer (i.e. "full-stack"), performing fault-tolerant computing with a target performance for the task of interest. Comparing this with a classical supercomputer performing the same task, we identify a quantum energy advantage in regimes of parameters distinct from the commonly considered quantum computational advantage. This provides a previously overlooked practical argument for building quantum computers. While our illustration uses highly idealized parameters inspired by superconducting qubits with a specific concatenated error correction scheme, our methodology is universal -- it applies to other qubits and error-correcting codes -- and provides experimenters with guidelines to build energy-efficient quantum processors. In some regimes of high energy consumption, it can reduce this consumption by orders of magnitudes. Overall, our multidisciplinary methodology lays the theoretical foundation for resource-efficient quantum technologies. 

BIO: Marco Fellous-Asiani is a post-doctoral researcher in the group of Alexander Streltsov at the University of Warsaw. He defended his PhD in November 2021, at the Université Grenoble Alpes (France), under the supervision of Alexia Auffèves and Robert Whitney. The goal of his PhD was to create a multidisciplinary framework aiming to minimize the resource cost for large-scale quantum computers. This framework, developed with his co-workers, is the seed behind the quantum energy initiative, launched in August 2022, that aims to make quantum technologies energy efficient. His research also involves more fundamental questions, such as finding fundamental bounds to the energy consumption of quantum computers, or understanding if a quantum speedup can be maintained in presence of noise for specific circuits. 

The meeting is organized by the Quantum AI Foundation.

Strategic Partners: Snarto, Cogit, Sonovero R&D