Quantum-HPC Software Stacks and the openQSE Reference Architecture: A Survey

πŸ“… 2026-04-21
πŸ“ˆ Citations: 0
✨ Influential: 0
πŸ“„ PDF

career value

244K/year
πŸ€– AI Summary
This work addresses the challenges hindering the integration of quantum and high-performance computing (QHPC), including fragmented software stack interfaces, proprietary implementations, and poor ecosystem interoperability. Through a systematic survey of nine prominent QHPC software stacks, the study identifies common design patterns and core requirements, leading to the first proposal of openQSEβ€”an open reference architecture. By explicitly defining key inter-layer interfaces for runtime abstraction, resource management, interconnect semantics, and observability, openQSE ensures deployment flexibility and backward compatibility while enabling a smooth evolution from Noisy Intermediate-Scale Quantum (NISQ) to Fault-Tolerant Quantum Computing (FTQC). This architecture establishes a standardized foundation for building a unified and scalable QHPC software ecosystem.

Technology Category

Application Category

πŸ“ Abstract
Quantum resources are increasingly integrated into high-performance computing (HPC) and cloud environments, but quantum high-performance computing (QHPC) software stacks remain isolated, often proprietary, full-stack solutions lacking common interfaces across runtime, resource management, orchestration, and execution layers. This paper analyzes nine production QHPC stacks and identifies common design patterns and emerging requirements, covering deployment models, application interaction patterns, SDK support, and readiness for fault-tolerant operation. The survey exposes consistent needs in runtime abstraction, resource management, interconnect semantics, and observability. Based on these findings, we propose the open quantum-HPC software ecosystem ( openQSE) reference architecture as a first step toward unifying the state-of-the-practice. openQSE defines a set of layer boundaries that allow different implementations to interoperate while preserving deployment flexibility, and is structured to support both current noisy intermediate-scale quantum (NISQ) workloads and future fault-tolerant quantum computing (FTQC) systems without changes to upper-layer application interfaces.
Problem

Research questions and friction points this paper is trying to address.

Quantum-HPC
software stacks
interoperability
reference architecture
openQSE
Innovation

Methods, ideas, or system contributions that make the work stand out.

openQSE
quantum-HPC
software stack
reference architecture
fault-tolerant quantum computing
πŸ”Ž Similar Papers
No similar papers found.
A
Amir Shehata
Oak Ridge National Laboratory, Oak Ridge, TN, USA
B
Brian Austin
Lawrence Berkeley National Laboratory, Berkeley, CA, USA
T
Tom Beck
Oak Ridge National Laboratory, Oak Ridge, TN, USA
L
Lukas Burgholzer
Munich Quantum Software Company, Munich, Germany
A
Alex Chernoguzov
Quantinuum, Broomfield, CO, USA
S
Spencer Churchill
IonQ, College Park, MD, USA
A
Andrea Delgado
Qblox, Oak Ridge, TN, USA
Y
Yasuko Eckert
AMD, Bellevue, WA, USA
J
Jeffery Heckey
Amazon Web Services, Seattle, WA, USA
K
Kevin Kissell
Alice and Bob, Paris, France
K
Katherine Klymko
Lawrence Berkeley National Laboratory, Berkeley, CA, USA
J
Josh Moles
IonQ, College Park, MD, USA
Thomas Naughton
Thomas Naughton
Research Staff, Oak Ridge National Laboratory
High performance computingvirtualizationresiliencesystem software
Lee James O'Riordan
Lee James O'Riordan
Xanadu Quantum Technologies
Quantum mechanicsquantum computingcold atomsHPC
C
Christian Ortiz Pauyac
Quantum Brilliance, Munich, Germany
G
Guen Prawiroatmodjo
IonQ, College Park, MD, USA
E
Ermal Rrapaj
Lawrence Berkeley National Laboratory, Berkeley, CA, USA
J
Jiri Schindler
IonQ, College Park, MD, USA
Laura Schulz
Laura Schulz
Argonne National Laboratory
HPChigh-performance computingquantum computing
S
Sebastian Stern
Amazon Web Services, Seattle, WA, USA
T
Tyler Takeshita
Amazon Web Services, Seattle, WA, USA
M
Miwako Tsuji
RIKEN R-CCS, Kobe, Japan
A
Aleksander Wennersteen
Pasqal, Palaiseau, France
Travis Humble
Travis Humble
Oak Ridge National Laboratory
quantum computingquantum algorithmsinformation physicsquantum information
Martin Schulz
Martin Schulz
Technical University of Munich
Computer Architecture and Parallel Systems