Power Consumption and Energy Efficiency of Quantum Computing Platforms in High Performance Computing Integration

Xiaolong Deng; Martin Schulz; Laura Schulz

doi:10.1007/978-3-031-85700-3_24

Power Consumption and Energy Efficiency of Quantum Computing Platforms in High Performance Computing Integration

Xiaolong Deng
, Martin Schulz
, Laura Schulz

Informatics 10 - Chair of Computer Architecture and Parallel Systems

Leibniz Rechenzentrum München

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper we study the power consumption of quantum computing platforms when integrated into high-performance computing (HPC) centers. We analyze the key components of leading quantum computers (superconducting circuit, trapped ion, neutral atom and photonics), and compare their power consumption. We also introduce a quantum energy efficiency metric that combines multiple qubit performance factors and power consumption. Using this metric, we evaluate and compare the energy efficiency of various quantum computers and assess their performance.

Original language	English
Title of host publication	Parallel Processing and Applied Mathematics - 15th International Conference, PPAM 2024, Revised Selected Papers
Editors	Roman Wyrzykowski, Jack Dongarra, Ewa Deelman, Konrad Karczewski
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	325-337
Number of pages	13
ISBN (Print)	9783031856990
DOIs	https://doi.org/10.1007/978-3-031-85700-3_24
State	Published - 2025
Event	15th International Conference on Parallel Processing and Applied Mathematics, PPAM 2024 - Ostrava, Czech Republic Duration: 8 Sep 2024 → 11 Sep 2024

Publication series

Name	Lecture Notes in Computer Science
Volume	15580 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Conference on Parallel Processing and Applied Mathematics, PPAM 2024
Country/Territory	Czech Republic
City	Ostrava
Period	8/09/24 → 11/09/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Energy efficiency
Neutral atom
Photonics
Power consumption
Quantum computer
Superconducting circuit
Trapped ion

Access to Document

10.1007/978-3-031-85700-3_24

Cite this

Deng, X., Schulz, M., & Schulz, L. (2025). Power Consumption and Energy Efficiency of Quantum Computing Platforms in High Performance Computing Integration. In R. Wyrzykowski, J. Dongarra, E. Deelman, & K. Karczewski (Eds.), Parallel Processing and Applied Mathematics - 15th International Conference, PPAM 2024, Revised Selected Papers (pp. 325-337). (Lecture Notes in Computer Science; Vol. 15580 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-85700-3_24

Deng, Xiaolong ; Schulz, Martin ; Schulz, Laura. / Power Consumption and Energy Efficiency of Quantum Computing Platforms in High Performance Computing Integration. Parallel Processing and Applied Mathematics - 15th International Conference, PPAM 2024, Revised Selected Papers. editor / Roman Wyrzykowski ; Jack Dongarra ; Ewa Deelman ; Konrad Karczewski. Springer Science and Business Media Deutschland GmbH, 2025. pp. 325-337 (Lecture Notes in Computer Science).

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abstract = "In this paper we study the power consumption of quantum computing platforms when integrated into high-performance computing (HPC) centers. We analyze the key components of leading quantum computers (superconducting circuit, trapped ion, neutral atom and photonics), and compare their power consumption. We also introduce a quantum energy efficiency metric that combines multiple qubit performance factors and power consumption. Using this metric, we evaluate and compare the energy efficiency of various quantum computers and assess their performance.",

keywords = "Energy efficiency, Neutral atom, Photonics, Power consumption, Quantum computer, Superconducting circuit, Trapped ion",

author = "Xiaolong Deng and Martin Schulz and Laura Schulz",

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Deng, X, Schulz, M & Schulz, L 2025, Power Consumption and Energy Efficiency of Quantum Computing Platforms in High Performance Computing Integration. in R Wyrzykowski, J Dongarra, E Deelman & K Karczewski (eds), Parallel Processing and Applied Mathematics - 15th International Conference, PPAM 2024, Revised Selected Papers. Lecture Notes in Computer Science, vol. 15580 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 325-337, 15th International Conference on Parallel Processing and Applied Mathematics, PPAM 2024, Ostrava, Czech Republic, 8/09/24. https://doi.org/10.1007/978-3-031-85700-3_24

Power Consumption and Energy Efficiency of Quantum Computing Platforms in High Performance Computing Integration. / Deng, Xiaolong; Schulz, Martin; Schulz, Laura.
Parallel Processing and Applied Mathematics - 15th International Conference, PPAM 2024, Revised Selected Papers. ed. / Roman Wyrzykowski; Jack Dongarra; Ewa Deelman; Konrad Karczewski. Springer Science and Business Media Deutschland GmbH, 2025. p. 325-337 (Lecture Notes in Computer Science; Vol. 15580 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Schulz, Martin

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N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

PY - 2025

Y1 - 2025

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AB - In this paper we study the power consumption of quantum computing platforms when integrated into high-performance computing (HPC) centers. We analyze the key components of leading quantum computers (superconducting circuit, trapped ion, neutral atom and photonics), and compare their power consumption. We also introduce a quantum energy efficiency metric that combines multiple qubit performance factors and power consumption. Using this metric, we evaluate and compare the energy efficiency of various quantum computers and assess their performance.

KW - Energy efficiency

KW - Neutral atom

KW - Photonics

KW - Power consumption

KW - Quantum computer

KW - Superconducting circuit

KW - Trapped ion

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M3 - Conference contribution

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PB - Springer Science and Business Media Deutschland GmbH

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Deng X, Schulz M, Schulz L. Power Consumption and Energy Efficiency of Quantum Computing Platforms in High Performance Computing Integration. In Wyrzykowski R, Dongarra J, Deelman E, Karczewski K, editors, Parallel Processing and Applied Mathematics - 15th International Conference, PPAM 2024, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2025. p. 325-337. (Lecture Notes in Computer Science). doi: 10.1007/978-3-031-85700-3_24