Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Communications in computer and information science

Full-Stack Quantum Computing and Distributed Systems: A Community-Centric Approach

Sebastian Feld

Published Jan 1, 2025• 1 citation
Publisher
DOI
10.1007/978-3-031-94263-1_1

Related papers

Exploring the distributed quantum computing paradigm

Ellie D’Hondt

•Jan 1, 2005•0 citations

Architecting full-stack quantum computing systems in the NISQ era and beyond

Carmen G. Almudéver

The advances in quantum hardware with functional quantum processors integrating tens of noisy qubits, together with the availability of near-term quantum algorithms have allowed the development of the so-called full-stacks that bridge quantum applications with quantum devices. In this talk, we will provide an overview of the different layers of the quantum computing full-stack, with emphasis on the software ones that include the compilation of quantum algorithms. We will then discuss the need for optimal physical-aware and algorithm-driven compilation techniques in the midst of the NISQ (Noisy Intermediate-scale quantum) era. We will also focus on key principles for architecting quantum computers such as codesign, optimization and benchmarking and illustrate how the use of structured design space exploration methodologies could help towards the development of a cross-layer codesign framework for full-stack quantum computing systems. Finally, we will talk about the scalability of quantum computing systems, which is one of the main challenges the quantum computing community is currently facing.

•Nov 18, 2022•0 citations

QCI Connect: A Modular Full-Stack Quantum Computing Platform

Eric Bertok, Hannes Busche, Florian Drinkler +17 more

In a world of various competing quantum computing architectures, hardware-agnostic, full-stack platforms are necessary to bring the full power of quantum computing hardware to domain experts via the cloud. QCI Connect and its Software Development Kit provide a reference architecture for a full-stack platform with a modular design and open-source interface definitions, built to facilitate a community-driven application ecosystem. Here, we present its overall design and features, central interfaces, and lessons learned, both for users of the platform and as a reference guide for future developments.

quant-pharXiv:2606.14456•Jun 15, 2026•0 citations

Distributed Quantum Computing

Harry Buhrman, Hein Röhrig

Lecture notes in computer science•Jan 1, 2003•95 citations

NISQ Quantum Computing: A Security-Centric Tutorial and Survey [Feature]

Fan Chen, Lei Jiang, Hausi A. Müller +4 more

Quantum computing (QC) demonstrates substantial theoretical promise in addressing classically intractable problems. Recent investments and advancements across QC system stacks, including hardware, software, and algorithms, underscore a pivotal shift from theoretical exploration to the practical realization of applications. Despite this progress, the prevailing emphasis has predominantly centered on performance enhancement, often overlooking security considerations. In response to this gap, our article presents a comprehensive tutorial and survey aimed at identifying and categorizing vulnerabilities inherent in quantum computing systems. Beginning with an overview encompassing essential principles, ecosystem components, and unique attributes in the quantum computing system stack, we also provide a summary of development resources to facilitate efficient initiation in this domain. Building on this foundational knowledge, we introduce a taxonomy of QC security organized by victim layer and security attack objectives. Utilizing this taxonomy as a guiding framework, the article delivers an extensive survey of the latest advancements in QC security, with the overarching goal of equipping the reader with a comprehensive understanding of quantum computing system principles and an informed awareness of diverse and dynamic QC security threats. The intention is to benefit both industry stakeholders and research communities, ultimately aiming to proactively identify and mitigate security concerns within QC systems, thereby establishing a robust foundation for secure quantum computing environments.

IEEE Circuits and Systems Magazine•Jan 1, 2024•26 citations

Distributed Quantum Computing: Applications and Challenges

Juan Carlos Boschero, Niels M. P. Neumann, Ward van der Schoot +2 more

arXiv:2410.00609•Lecture notes in networks and systems•Jan 1, 2025•15 citations
The advances in quantum hardware with functional quantum processors integrating tens of noisy qubits, together with the availability of near-term quantum algorithms have allowed the development of the so-called full-stacks that bridge quantum applications with quantum devices. In this talk, we will provide an overview of the different layers of the quantum computing full-stack, with emphasis on the software ones that include the compilation of quantum algorithms. We will then discuss the need for optimal physical-aware and algorithm-driven compilation techniques in the midst of the NISQ (Noisy Intermediate-scale quantum) era. We will also focus on key principles for architecting quantum computers such as codesign, optimization and benchmarking and illustrate how the use of structured design space exploration methodologies could help towards the development of a cross-layer codesign framework for full-stack quantum computing systems. Finally, we will talk about the scalability of quantum computing systems, which is one of the main challenges the quantum computing community is currently facing.
In a world of various competing quantum computing architectures, hardware-agnostic, full-stack platforms are necessary to bring the full power of quantum computing hardware to domain experts via the cloud. QCI Connect and its Software Development Kit provide a reference architecture for a full-stack platform with a modular design and open-source interface definitions, built to facilitate a community-driven application ecosystem. Here, we present its overall design and features, central interfaces, and lessons learned, both for users of the platform and as a reference guide for future developments.
Quantum computing (QC) demonstrates substantial theoretical promise in addressing classically intractable problems. Recent investments and advancements across QC system stacks, including hardware, software, and algorithms, underscore a pivotal shift from theoretical exploration to the practical realization of applications. Despite this progress, the prevailing emphasis has predominantly centered on performance enhancement, often overlooking security considerations. In response to this gap, our article presents a comprehensive tutorial and survey aimed at identifying and categorizing vulnerabilities inherent in quantum computing systems. Beginning with an overview encompassing essential principles, ecosystem components, and unique attributes in the quantum computing system stack, we also provide a summary of development resources to facilitate efficient initiation in this domain. Building on this foundational knowledge, we introduce a taxonomy of QC security organized by victim layer and security attack objectives. Utilizing this taxonomy as a guiding framework, the article delivers an extensive survey of the latest advancements in QC security, with the overarching goal of equipping the reader with a comprehensive understanding of quantum computing system principles and an informed awareness of diverse and dynamic QC security threats. The intention is to benefit both industry stakeholders and research communities, ultimately aiming to proactively identify and mitigate security concerns within QC systems, thereby establishing a robust foundation for secure quantum computing environments.