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arxiv: 2508.11765 · v2 · submitted 2025-08-15 · 🪐 quant-ph

The Role of Quantum Computing in Advancing Scientific High-Performance Computing: A perspective from the ADAC Institute

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

Pith reviewed 2026-05-18 22:16 UTC · model grok-4.3

classification 🪐 quant-ph
keywords quantum computinghigh-performance computinghybrid systemsquantum accelerationerror ratescoherence timesscientific computingintegration challenges
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The pith

Future compute infrastructures will use quantum acceleration inside hybrid systems that combine it with high-performance computing.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

This perspective paper sets out that quantum computing and high-performance computing play complementary roles rather than one replacing the other. It argues that even fully error-corrected quantum machines will remain unsuitable for many tasks, so practical progress will come from hybrid setups in which quantum units accelerate selected workloads while classical systems handle the rest and provide essential support. The paper reviews current barriers such as high error rates and short coherence times, describes how integration efforts are already underway at supercomputing centers, and uses member-project insights to map strategic directions. A sympathetic reader would care because this framing shifts the question from whether quantum computing will dominate to how the two technologies can be combined most effectively for scientific workloads.

Core claim

Even fully error-corrected quantum computers will not be suited for all computational tasks; rather, future compute infrastructures are anticipated to employ quantum acceleration within hybrid systems that integrate high-performance computing and quantum computing, while traditional high-performance computing remains essential for maximizing quantum acceleration.

What carries the argument

Hybrid integration of quantum acceleration into high-performance computing ecosystems, in which quantum components handle selected demanding tasks and classical components supply the surrounding infrastructure and support.

If this is right

  • Quantum acceleration will be applied only to selected tasks inside larger classical workflows rather than as a standalone replacement.
  • High-performance computing centers will need to develop new interfaces and support layers to merge the two technologies effectively.
  • Innovation will focus on overcoming integration challenges such as error management and resource allocation between classical and quantum parts.
  • High-performance computing specialists will require updated knowledge of quantum capabilities to design and run future workloads.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Research priorities may shift toward co-design of algorithms and interfaces that are optimized for hybrid rather than pure quantum or pure classical execution.
  • Early prototypes could be tested on concrete scientific simulations to quantify the actual crossover point where quantum acceleration becomes worthwhile.
  • Similar hybrid thinking may apply to other emerging accelerators, suggesting a general pattern of selective augmentation rather than wholesale replacement of classical systems.

Load-bearing premise

Current limitations in qubit error rates and coherence times will be sufficiently mitigated to enable meaningful quantum acceleration inside hybrid systems.

What would settle it

A controlled benchmark in which an early hybrid quantum-classical system delivers no measurable speedup, or a slowdown, on a scientific workload previously expected to benefit from quantum acceleration, even after documented improvements in qubit quality.

Figures

Figures reproduced from arXiv: 2508.11765 by Amit Saxena, Andrea Delgado, Ang Li, Daniel Claudino, Gilles Buchs, In-Saeng Suh, Kathleen Hamilton, Kazuya Yamazaki, Mikael P. Johansson, Miwako Tsuji, Neeraj Kumar, Nur Aiman Fadel, Olli Mukkula, Peter Groszkowski, Phillip Lotshaw, Roel Van Beeumen, Ryan Bennink, Ryousei Takano, Thomas Beck, Travis Humble, Ugo Varetto, Yan Wang.

Figure 1
Figure 1. Figure 1: Generic execution flow of a hybrid classical [PITH_FULL_IMAGE:figures/full_fig_p010_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Schematic representation of the scaling character [PITH_FULL_IMAGE:figures/full_fig_p016_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Architectures of tensor network methods. Ten [PITH_FULL_IMAGE:figures/full_fig_p027_3.png] view at source ↗
read the original 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 continues 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 QCs will not be suited for all computational task. Rather, future compute infrastructures are anticipated to employ quantum acceleration within hybrid systems that integrate HPC and QC. While QCs 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 Accelerated Data Analytics and Computing Institute (ADAC) is comprised of globally leading HPC centers. ADAC has established a Quantum Computing Working Group to promote and catalyze collaboration among its members. This paper synthesizes insights from the QC Working Group, supplemented by findings from a member survey detailing ongoing projects and strategic directions. By outlining the current landscape and challenges of QC integration into HPC ecosystems, this work aims to provide HPC specialists with a deeper understanding of QC and its future implications for computationally intensive endeavors.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 3 minor

Summary. This perspective paper from the ADAC Institute examines the relationship between quantum computing (QC) and high-performance computing (HPC). It argues that QC and HPC have complementary roles, with future compute infrastructures anticipated to use quantum acceleration in hybrid HPC-QC systems. The work synthesizes insights from the ADAC Quantum Computing Working Group and a member survey on ongoing projects and strategic directions, while explicitly noting current QC limitations such as high error rates and limited coherence times, and stressing that traditional HPC remains essential for maximizing quantum acceleration.

Significance. If the described hybrid integration proceeds as anticipated, the paper provides a balanced, community-grounded overview that can inform HPC specialists on realistic strategic directions. Its strength is the explicit acknowledgment that even error-corrected QCs will not suit all tasks, combined with the synthesis of views from leading global HPC centers; this offers practical context without overclaiming technical breakthroughs.

minor comments (3)
  1. [Abstract] Abstract: the sentence 'While advancements in qubit counts and functionalities continues at a rapid pace' contains a subject-verb agreement error ('continues' should be 'continue').
  2. [Abstract] Abstract: the member survey is referenced as supplementing the Working Group insights, but no details on response rate, question format, or key quantitative findings are provided; adding a brief summary would improve traceability of the strategic directions.
  3. [Introduction] The manuscript would benefit from a short dedicated subsection (e.g., in the introduction or methods) explicitly listing the survey questions or themes to allow readers to assess how the reported priorities were derived.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for their positive and constructive review, which accurately reflects the scope and intent of our perspective paper. We appreciate the recognition of the balanced synthesis from the ADAC Quantum Computing Working Group and the explicit acknowledgment of current QC limitations. Given the recommendation for minor revision and the absence of specific major comments, we have reviewed the manuscript for any minor clarifications that could further improve readability for the HPC community.

Circularity Check

0 steps flagged

No significant circularity

full rationale

The paper is explicitly a perspective piece that synthesizes insights from the ADAC Quantum Computing Working Group and a member survey. It advances no mathematical derivations, fitted parameters, empirical predictions, or equations that could reduce to inputs by construction. Central claims about hybrid HPC-QC systems are presented as forward-looking consensus views with explicit acknowledgment of current technical limitations, resting on external discussions rather than any self-referential chain.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The central outlook rests on the domain assumption that hybrid architectures will dominate future scientific computing and that current QC limitations can be overcome sufficiently for practical acceleration.

axioms (1)
  • domain assumption Quantum systems will achieve sufficient scalability, low error rates, and coherence times to deliver meaningful acceleration in hybrid HPC-QC environments.
    Invoked in the discussion of current challenges versus anticipated future infrastructure (abstract).

pith-pipeline@v0.9.0 · 5882 in / 1141 out tokens · 49659 ms · 2026-05-18T22:16:51.695635+00:00 · methodology

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Reference graph

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