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

Lecture notes in computer science

Using Open API for the Development of Hybrid Classical-Quantum Services

Javier Romero‐Álvarez, Jaime Alvarado‐Valiente, Enrique Moguel, José Manuel García-Alonso, Juan M. Murillo

Published Jan 1, 2023• 13 citations
Publisher
DOI
10.1007/978-3-031-26507-5_34

Related papers

Quantum Service-Oriented Architectures: From Hybrid Classical Approaches to Future Stand-Alone Solutions

David Valencia, Enrique Moguel, Javier Rojo +3 more

Springer eBooks•Jan 1, 2022•5 citations

Leveraging API Specifications for Scaffolding Quantum Applications

Javier Romero‐Álvarez, Jaime Alvarado‐Valiente, Enrique Moguel +3 more

Quantum computing is still in its early stages, and developers used to high-level tools are encountering difficulties in developing hybrid classical-quantum systems. This has created the need for the adaptation of classical tools or the development of new tools to approach the quantum world and enable more efficient development. Quantum computers are accessed through cloud providers, which has led to the use of Service-Oriented Architectures. Although there are currently tools and standards available for improving the development of classical services, they need to be adapted for quantum services. In this work, we propose the adaptation of classic tools to be used in the development of hybrid systems, extending classic specifications such as OpenAPI and AsyncAPI to offer developers a set of tools closer to the environment they are used to. The provided implementation is focused on Amazon Braket as the quantum computing service provider.

IEEE International Conference on Quantum Computing and Engineering (QCE)•Sep 17, 2023•4 citations

Building Hybrid Quantum–Classical Computing Ecosystems: A Survey

Dhanvi Bharadwaj, Yuewen Hou, Alexander Knapen +3 more

Communications in computer and information science•Jan 1, 2026•0 citations

Weiterentwicklung der Hybrid Data Management Architecture zur plattformübergreifenden Nutzung von Quantencomputing Cloudservices und Simulatoren

Rehburg, Maik

There is a broad consensus within the quantum computing community that quantum applications will primarily be hybrid, with classical computers handling general purpose computations efficiently while specialized operations are executed on quantum hardware. Against this background, the present work aims to further develop the existing Hybrid Data Management Architecture (HDMA) into a platform independent service architecture, enabling the execution of quantum circuits both on cloud-based quantum hardware and on local simulators. A key focus is on reducing the migration effort for new cloud service providers (CSPs). The theoretical framework is based on concepts from Service-Oriented Architecture (SOA) as well as established design patterns in quantum software engineering, which are analyzed through a systematic literature review and evaluated using an Implementation Maturity Level (IML) model. Accordingly, existing concepts and reference architectures (e.g. Qunicorn, Qubernetes, Quantum API Gateway) in the field of hybrid quantum applications are first examined. Based on this analysis, a modular architectural concept is developed, integrating provider-specific backend services, an asynchronous message broker (RabbitMQ) for inter-service communication, and a central monitor service for status tracking. Data from monitored quantum jobs are persistently stored in MongoDB. Local simulators are deployed in dedicated, scalable service containers. The implementation is containerbased using Docker Compose and allows dynamic configuration of the backends via YAML files. The prototype is validated using the graph coloring problem, executed on cloud backends from IBM Quantum and Azure Quantum, a local Azure Sparse Simulator and a local Aer Simulator. The results demonstrate that the HDMA reliably supports execution across all integrated backends and additionally enables the parallel execution of quantum jobs on multiple quantum backends. In conclusion, the study demonstrates that a combination of modular service isolation, a generic backend API, and event-driven communication can realize a scalable and extensible platform for hybrid quantum applications. The work provides practical insights for the development of platformindependent quantum computing infrastructures.

•Jan 1, 2025•0 citations

РОЗГОРТАННЯ ЗАСТОСУНКІВ НА ХМАРНО-КВАНТОВИХ ГІБРИДНИХ АРХІТЕКТУРАХ: СИНХРОННЕ ПРОЕКТУВАННЯ API, ІНФРАСТРУКТУРА ЯК КОД ТА ОПТИМІЗАЦІЯ ВИТРАТ

Володимир Русінов, Oleksii Cherevatenko

This article analyzes and researches the question of application deployment on hybrid cloud-quantum architectures and explores the question of API design for such systems. Relevance of the research topic. Hybrid cloud-quantum deployments are emerging in production settings, yet their operational architecture and cost governance remain poorly standardized. Establishing repeatable deployment patterns is therefore essential for practical adoption. Research problem. Synchronous quantum APIs require tight integration between classical microservices and quantum execution, but they face high latency variance and complex cost dynamics that are not addressed by classical cloud design patterns alone. Actual scientific researches and issues analysis. Recent work on NISQ-era algorithms and QCaaS platforms provides algorithmic foundations, while cloud providers document device access and pricing. However, there is limited end-to-end guidance that connects API design, infrastructure automation, and cost modeling for real-time hybrid services. Uninvestigated parts of research. There is a lack of practical, reproducible frameworks for cost estimation under synchronous request-response constraints, and insufficient guidance on device-selection policies that balance latency, fidelity, and budget in production deployments. Research objective. This paper develops a structured framework for synchronous quantum API design, Infrastructure as Code integration, and cost modeling, with actionable methods for optimization and deployment on AWS Braket.

The Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy•Jul 1, 2026•0 citations

Integration of Classical and Quantum Services Using an Enterprise Service Bus

Javier Bonilla, Enrique Moguel, José Manuel García-Alonso +1 more

Lecture notes in computer science•Dec 1, 2023•2 citations
Quantum computing is still in its early stages, and developers used to high-level tools are encountering difficulties in developing hybrid classical-quantum systems. This has created the need for the adaptation of classical tools or the development of new tools to approach the quantum world and enable more efficient development. Quantum computers are accessed through cloud providers, which has led to the use of Service-Oriented Architectures. Although there are currently tools and standards available for improving the development of classical services, they need to be adapted for quantum services. In this work, we propose the adaptation of classic tools to be used in the development of hybrid systems, extending classic specifications such as OpenAPI and AsyncAPI to offer developers a set of tools closer to the environment they are used to. The provided implementation is focused on Amazon Braket as the quantum computing service provider.
There is a broad consensus within the quantum computing community that quantum applications will primarily be hybrid, with classical computers handling general purpose computations efficiently while specialized operations are executed on quantum hardware. Against this background, the present work aims to further develop the existing Hybrid Data Management Architecture (HDMA) into a platform independent service architecture, enabling the execution of quantum circuits both on cloud-based quantum hardware and on local simulators. A key focus is on reducing the migration effort for new cloud service providers (CSPs). The theoretical framework is based on concepts from Service-Oriented Architecture (SOA) as well as established design patterns in quantum software engineering, which are analyzed through a systematic literature review and evaluated using an Implementation Maturity Level (IML) model. Accordingly, existing concepts and reference architectures (e.g. Qunicorn, Qubernetes, Quantum API Gateway) in the field of hybrid quantum applications are first examined. Based on this analysis, a modular architectural concept is developed, integrating provider-specific backend services, an asynchronous message broker (RabbitMQ) for inter-service communication, and a central monitor service for status tracking. Data from monitored quantum jobs are persistently stored in MongoDB. Local simulators are deployed in dedicated, scalable service containers. The implementation is containerbased using Docker Compose and allows dynamic configuration of the backends via YAML files. The prototype is validated using the graph coloring problem, executed on cloud backends from IBM Quantum and Azure Quantum, a local Azure Sparse Simulator and a local Aer Simulator. The results demonstrate that the HDMA reliably supports execution across all integrated backends and additionally enables the parallel execution of quantum jobs on multiple quantum backends. In conclusion, the study demonstrates that a combination of modular service isolation, a generic backend API, and event-driven communication can realize a scalable and extensible platform for hybrid quantum applications. The work provides practical insights for the development of platformindependent quantum computing infrastructures.
This article analyzes and researches the question of application deployment on hybrid cloud-quantum architectures and explores the question of API design for such systems. Relevance of the research topic. Hybrid cloud-quantum deployments are emerging in production settings, yet their operational architecture and cost governance remain poorly standardized. Establishing repeatable deployment patterns is therefore essential for practical adoption. Research problem. Synchronous quantum APIs require tight integration between classical microservices and quantum execution, but they face high latency variance and complex cost dynamics that are not addressed by classical cloud design patterns alone. Actual scientific researches and issues analysis. Recent work on NISQ-era algorithms and QCaaS platforms provides algorithmic foundations, while cloud providers document device access and pricing. However, there is limited end-to-end guidance that connects API design, infrastructure automation, and cost modeling for real-time hybrid services. Uninvestigated parts of research. There is a lack of practical, reproducible frameworks for cost estimation under synchronous request-response constraints, and insufficient guidance on device-selection policies that balance latency, fidelity, and budget in production deployments. Research objective. This paper develops a structured framework for synchronous quantum API design, Infrastructure as Code integration, and cost modeling, with actionable methods for optimization and deployment on AWS Braket.