The role of quantum computing in advancing scientific high-performance computing: A perspective from the ADAC institute

Gilles Buchs; Thomas L. Beck; Ryan S. Bennink; Daniel Claudino; Andrea Delgado; Nur Aiman Fadel; Peter Groszkowski; Kathleen E. Hamilton; Travis S. Humble; Neeraj Kumar; Ang Li; Phillip C. Lotshaw; Olli Mukkula; Ryousei Takano; Amit Saxena; In Saeng Suh; Miwako Tsuji; Roel Van Beeumen; Ugo Varetto; Yan Wang; Kazuya Yamazaki; Mikael P. Johansson

doi:10.1016/j.future.2026.108487

The role of quantum computing in advancing scientific high-performance computing: A perspective from the ADAC institute

Gilles Buchs
, Thomas L. Beck
, Ryan S. Bennink
, Daniel Claudino
, Andrea Delgado
, Nur Aiman Fadel
, Peter Groszkowski
, Kathleen E. Hamilton
, Travis S. Humble
, Neeraj Kumar
, Ang Li
, Phillip C. Lotshaw
, Olli Mukkula
, Ryousei Takano
, Amit Saxena
, In Saeng Suh
, Miwako Tsuji
, Roel Van Beeumen
, Ugo Varetto
, Yan Wang

Kazuya Yamazaki, Mikael P. Johansson

Research output: Contribution to journal › Review article › peer-review

Abstract

Quantum computing (QC) has gained significant attention over the past two decades due to its potential for speeding up classically demanding tasks. This transition from an academic focus to a thriving commercial sector is reflected in substantial global investments. While advancements in qubit counts and functionalities continue at a rapid pace, current quantum systems still lack the scalability for practical applications, facing challenges such as too high error rates and limited coherence times. This perspective paper examines the relationship between QC and high-performance computing (HPC), highlighting their complementary roles in enhancing computational efficiency. It is widely acknowledged that even fully error-corrected QC will not be suited for all computational tasks. Rather, future compute infrastructures are anticipated to employ quantum acceleration within hybrid systems that integrate HPC and QC. While QC can enhance classical computing, traditional HPC remains essential for maximizing quantum acceleration. This integration is a priority for supercomputing centers and companies, sparking innovation to address the challenges of merging these technologies. The novelty of this work lies in its unique perspective, reflecting the collective insights of the Accelerated Data Analytics and Computing (ADAC) Institute, a global consortium of over 20 leading HPC centers. Recognizing the growing importance of QC, ADAC established a Quantum Computing Working Group in 2023 to foster collaboration and knowledge-sharing among its members. This paper synthesizes insights from the group’s collaborative efforts and incorporates findings from a member survey that captures shared experiences, ongoing projects, and strategic directions. By outlining the current landscape and challenges of QC integration into HPC ecosystems, this work offers HPC specialists practical and forward-looking guidance on the opportunities and implications of QC in computationally intensive endeavors.

Original language	English
Article number	108487
Journal	Future Generation Computer Systems
Volume	182
DOIs	https://doi.org/10.1016/j.future.2026.108487
State	Published - Sep 2026

Funding

The authors acknowledge the support of the entire ADAC community, and especially those who responded to the questionnaire. This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725. This research was supported by the Laboratory Directed Research and Development (LDRD) Program at Pacific Northwest National Laboratory (PNNL). PNNL is a multi-program national laboratory operated for the U.S. Department of Energy (DOE) by Battelle Memorial Institute under Contract No. DE-AC05-76RL01830. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility located at Lawrence Berkeley National Laboratory, operated under Contract No.DE-AC02-05CH11231. This research used resources of the National Institute of Advanced Industrial Science and Technology (AIST), which was done for Council for Science, Technology and Innovation (CSTI), Cross-ministerial Strategic Innovation Promotion Program (SIP), “Promoting the application of advanced quantum technology platforms to social issues” (Funding agency : QST). This research was supported by the JHPC-quantum and JPNP20017 projects commissioned by the New Energy and Industrial Technology Development Organization (NEDO), a national research and development agency in Japan. This research used resources of the Centre for Development of Advanced Computing (C-DAC) which is a Scientific Society under Ministry of Electronics and Information Technology (MeitY), Government of India. This research was supported by the Laboratory Directed Research and Development (LDRD) Program at Pacific Northwest National Laboratory (PNNL). PNNL is a multi-program national laboratory operated for the U.S. Department of Energy (DOE) by Battelle Memorial Institute under Contract No. DE-AC05-76RL01830. This research was supported by the JHPC-quantum and JPNP20017 projects commissioned by the New Energy and Industrial Technology Development Organization (NEDO), a national research and development agency in Japan. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility located at Lawrence Berkeley National Laboratory, operated under Contract No. DE-AC02-05CH11231 . This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725.

Keywords

Accelerated Data Analytics and
Computing Institute (ADAC)
HPC/QC integration
Quantum computing (QC)
Quantum computing and HPC/QC use cases

Access to Document

10.1016/j.future.2026.108487

Cite this

Buchs, G., Beck, T. L., Bennink, R. S., Claudino, D., Delgado, A., Fadel, N. A., Groszkowski, P., Hamilton, K. E., Humble, T. S., Kumar, N., Li, A., Lotshaw, P. C., Mukkula, O., Takano, R., Saxena, A., Suh, I. S., Tsuji, M., Van Beeumen, R., Varetto, U., ... Johansson, M. P. (2026). The role of quantum computing in advancing scientific high-performance computing: A perspective from the ADAC institute. Future Generation Computer Systems, 182, Article 108487. https://doi.org/10.1016/j.future.2026.108487

@article{b8c4c52efe514cfc8576f5f4065ad2a4,

title = "The role of quantum computing in advancing scientific high-performance computing: A perspective from the ADAC institute",

abstract = "Quantum computing (QC) has gained significant attention over the past two decades due to its potential for speeding up classically demanding tasks. This transition from an academic focus to a thriving commercial sector is reflected in substantial global investments. While advancements in qubit counts and functionalities continue at a rapid pace, current quantum systems still lack the scalability for practical applications, facing challenges such as too high error rates and limited coherence times. This perspective paper examines the relationship between QC and high-performance computing (HPC), highlighting their complementary roles in enhancing computational efficiency. It is widely acknowledged that even fully error-corrected QC will not be suited for all computational tasks. Rather, future compute infrastructures are anticipated to employ quantum acceleration within hybrid systems that integrate HPC and QC. While QC can enhance classical computing, traditional HPC remains essential for maximizing quantum acceleration. This integration is a priority for supercomputing centers and companies, sparking innovation to address the challenges of merging these technologies. The novelty of this work lies in its unique perspective, reflecting the collective insights of the Accelerated Data Analytics and Computing (ADAC) Institute, a global consortium of over 20 leading HPC centers. Recognizing the growing importance of QC, ADAC established a Quantum Computing Working Group in 2023 to foster collaboration and knowledge-sharing among its members. This paper synthesizes insights from the group{\textquoteright}s collaborative efforts and incorporates findings from a member survey that captures shared experiences, ongoing projects, and strategic directions. By outlining the current landscape and challenges of QC integration into HPC ecosystems, this work offers HPC specialists practical and forward-looking guidance on the opportunities and implications of QC in computationally intensive endeavors.",

keywords = "Accelerated Data Analytics and, Computing Institute (ADAC), HPC/QC integration, Quantum computing (QC), Quantum computing and HPC/QC use cases",

author = "Gilles Buchs and Beck, \{Thomas L.\} and Bennink, \{Ryan S.\} and Daniel Claudino and Andrea Delgado and Fadel, \{Nur Aiman\} and Peter Groszkowski and Hamilton, \{Kathleen E.\} and Humble, \{Travis S.\} and Neeraj Kumar and Ang Li and Lotshaw, \{Phillip C.\} and Olli Mukkula and Ryousei Takano and Amit Saxena and Suh, \{In Saeng\} and Miwako Tsuji and \{Van Beeumen\}, Roel and Ugo Varetto and Yan Wang and Kazuya Yamazaki and Johansson, \{Mikael P.\}",

note = "Publisher Copyright: {\textcopyright} 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.",

year = "2026",

month = sep,

doi = "10.1016/j.future.2026.108487",

language = "English",

volume = "182",

journal = "Future Generation Computer Systems",

issn = "0167-739X",

publisher = "Elsevier",

}

Buchs, G , Beck, TL , Bennink, RS , Claudino, D, Delgado, A, Fadel, NA, Groszkowski, P, Hamilton, KE , Humble, TS, Kumar, N, Li, A, Lotshaw, PC, Mukkula, O, Takano, R, Saxena, A, Suh, IS, Tsuji, M, Van Beeumen, R, Varetto, U, Wang, Y, Yamazaki, K & Johansson, MP 2026, 'The role of quantum computing in advancing scientific high-performance computing: A perspective from the ADAC institute', Future Generation Computer Systems, vol. 182, 108487. https://doi.org/10.1016/j.future.2026.108487

TY - JOUR

T1 - The role of quantum computing in advancing scientific high-performance computing

T2 - A perspective from the ADAC institute

AU - Buchs, Gilles

AU - Beck, Thomas L.

AU - Bennink, Ryan S.

AU - Claudino, Daniel

AU - Delgado, Andrea

AU - Fadel, Nur Aiman

AU - Groszkowski, Peter

AU - Hamilton, Kathleen E.

AU - Humble, Travis S.

AU - Kumar, Neeraj

AU - Li, Ang

AU - Lotshaw, Phillip C.

AU - Mukkula, Olli

AU - Takano, Ryousei

AU - Saxena, Amit

AU - Suh, In Saeng

AU - Tsuji, Miwako

AU - Van Beeumen, Roel

AU - Varetto, Ugo

AU - Wang, Yan

AU - Yamazaki, Kazuya

AU - Johansson, Mikael P.

PY - 2026/9

Y1 - 2026/9

N2 - Quantum computing (QC) has gained significant attention over the past two decades due to its potential for speeding up classically demanding tasks. This transition from an academic focus to a thriving commercial sector is reflected in substantial global investments. While advancements in qubit counts and functionalities continue at a rapid pace, current quantum systems still lack the scalability for practical applications, facing challenges such as too high error rates and limited coherence times. This perspective paper examines the relationship between QC and high-performance computing (HPC), highlighting their complementary roles in enhancing computational efficiency. It is widely acknowledged that even fully error-corrected QC will not be suited for all computational tasks. Rather, future compute infrastructures are anticipated to employ quantum acceleration within hybrid systems that integrate HPC and QC. While QC can enhance classical computing, traditional HPC remains essential for maximizing quantum acceleration. This integration is a priority for supercomputing centers and companies, sparking innovation to address the challenges of merging these technologies. The novelty of this work lies in its unique perspective, reflecting the collective insights of the Accelerated Data Analytics and Computing (ADAC) Institute, a global consortium of over 20 leading HPC centers. Recognizing the growing importance of QC, ADAC established a Quantum Computing Working Group in 2023 to foster collaboration and knowledge-sharing among its members. This paper synthesizes insights from the group’s collaborative efforts and incorporates findings from a member survey that captures shared experiences, ongoing projects, and strategic directions. By outlining the current landscape and challenges of QC integration into HPC ecosystems, this work offers HPC specialists practical and forward-looking guidance on the opportunities and implications of QC in computationally intensive endeavors.

AB - Quantum computing (QC) has gained significant attention over the past two decades due to its potential for speeding up classically demanding tasks. This transition from an academic focus to a thriving commercial sector is reflected in substantial global investments. While advancements in qubit counts and functionalities continue at a rapid pace, current quantum systems still lack the scalability for practical applications, facing challenges such as too high error rates and limited coherence times. This perspective paper examines the relationship between QC and high-performance computing (HPC), highlighting their complementary roles in enhancing computational efficiency. It is widely acknowledged that even fully error-corrected QC will not be suited for all computational tasks. Rather, future compute infrastructures are anticipated to employ quantum acceleration within hybrid systems that integrate HPC and QC. While QC can enhance classical computing, traditional HPC remains essential for maximizing quantum acceleration. This integration is a priority for supercomputing centers and companies, sparking innovation to address the challenges of merging these technologies. The novelty of this work lies in its unique perspective, reflecting the collective insights of the Accelerated Data Analytics and Computing (ADAC) Institute, a global consortium of over 20 leading HPC centers. Recognizing the growing importance of QC, ADAC established a Quantum Computing Working Group in 2023 to foster collaboration and knowledge-sharing among its members. This paper synthesizes insights from the group’s collaborative efforts and incorporates findings from a member survey that captures shared experiences, ongoing projects, and strategic directions. By outlining the current landscape and challenges of QC integration into HPC ecosystems, this work offers HPC specialists practical and forward-looking guidance on the opportunities and implications of QC in computationally intensive endeavors.

KW - Accelerated Data Analytics and

KW - Computing Institute (ADAC)

KW - HPC/QC integration

KW - Quantum computing (QC)

KW - Quantum computing and HPC/QC use cases

UR - https://www.scopus.com/pages/publications/105035250426

U2 - 10.1016/j.future.2026.108487

DO - 10.1016/j.future.2026.108487

M3 - Review article

AN - SCOPUS:105035250426

SN - 0167-739X

VL - 182

JO - Future Generation Computer Systems

JF - Future Generation Computer Systems

M1 - 108487

ER -

The role of quantum computing in advancing scientific high-performance computing: A perspective from the ADAC institute

Abstract

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this