Quantum Software as a Service Through a Quantum API Gateway

Garcí­a-Alonso, José; Rojo, Javier; Valencia, David; Moguel, Enrique; Berrocal, Javier; Murillo, Juan Manuel

doi:10.1109/mic.2021.3132688

Cited by 39 publications

(10 citation statements)

References 8 publications

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“…Amazon offers its quantum cloud, called Amazon . Unlike many other vendors, Amazon does not develop quantum hardware; instead, it provides services over third-party quantum hardware [ 94 ] using superconducting, trapped ion, neutral-atom, and photonics technologies. Current quantum hardware providers within Amazon Braket include IonQ, Oxford Quantum Circuits (OQC), QuEra, Rigetti, and Xanadu.…”

Section: Quantum Neural Network Software Frameworkmentioning

confidence: 99%

Programming Quantum Neural Networks on NISQ Systems: An Overview of Technologies and Methodologies

Markidis

2023

Entropy

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Noisy Intermediate-Scale Quantum (NISQ) systems and associated programming interfaces make it possible to explore and investigate the design and development of quantum computing techniques for Machine Learning (ML) applications. Among the most recent quantum ML approaches, Quantum Neural Networks (QNN) emerged as an important tool for data analysis. With the QNN advent, higher-level programming interfaces for QNN have been developed. In this paper, we survey the current state-of-the-art high-level programming approaches for QNN development. We discuss target architectures, critical QNN algorithmic components, such as the hybrid workflow of Quantum Annealers and Parametrized Quantum Circuits, QNN architectures, optimizers, gradient calculations, and applications. Finally, we overview the existing programming QNN frameworks, their software architecture, and associated quantum simulators.

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Section: Quantum Neural Network Software Frameworkmentioning

confidence: 99%

Programming Quantum Neural Networks on NISQ Systems: An Overview of Technologies and Methodologies

Markidis

2023

Entropy

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“…First, we can not permanently deploy a quantum application on a cloud-based quantum computer as a service for invoking many times from the end-users, similar to what we do with traditional ones. Instead, we need to build a suitable quantum circuit for our application, then deploy them to quantum computers, and wait for the execution result [20]. Additionally, quantum cloud providers and customers need to establish a win-win paradigm to maximize quantum advantages while optimizing the budget and the resources.…”

Section: Challenges For Quantum Cloud Computingmentioning

confidence: 99%

“…Today's quantum computers are made available to the industry and research community as a cloud service by a quantum cloud provider [20]. This scheme is well known as Quantum Computing as a Service (QCaaS or QaaS), which corresponds with well-known paradigms in cloud computing such as Platform as a Service (PaaS) or Infrastructure as a Service (IaaS) [7].…”

Section: Quantum Computing As a Service (Qcaas)mentioning

confidence: 99%

“…We can deploy a service directly and permanently to a classical server one time, and it could be invoked many times by the end-users later on. However, we cannot do the same thing with quantum computers, i.e., a quantum program cannot be deployed persistently in a specific quantum computer [20]. With today's quantum computer, an appropriate quantum circuit (based on user inputs) needs to be built every time we execute a specific task.…”

Section: Serverlessmentioning

confidence: 99%

“…Garcia-Alonso et al [20] proposed the proof of concept about Quantum API Gateway and provided a simple validation using Python and Flask platform on the Amazon Braket platform. QuantumPath, proposed by Hevia et al [29], is a quantum software development platform aiming to support multiple quantum SDKs and languages, supporting gate-based and annealing quantum applications, and provide multiple design tools for creating a quantum algorithm.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

QFaaS: A Serverless Function-as-a-Service Framework for Quantum Computing

Nguyen¹,

Usman²,

Buyya³

2022

Preprint

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Recent breakthroughs in quantum hardware are creating opportunities for its use in many applications. However, quantum software engineering is still in its infancy with many challenges, especially dealing with the diversity of quantum programming languages and hardware platforms. To alleviate these challenges, we propose QFaaS, a novel Quantum Function-as-a-Service framework, which leverages the advantages of the serverless model and the state-of-the-art software engineering approaches to advance practical quantum computing. Our framework provides essential components of a quantum serverless platform to simplify the software development and adapt to the quantum cloud computing paradigm, such as combining hybrid quantum-classical computation, containerizing functions, and integrating DevOps features. We design QFaaS as a unified quantum computing framework by supporting well-known quantum languages and software development kits (Qiskit, Q#, Cirq, and Braket), executing the quantum tasks on multiple simulators and quantum cloud providers (IBM Quantum and Amazon Braket). This paper proposes architectural design, principal components, the life cycle of hybrid quantum-classical function, operation workflow, and implementation of QFaaS. We present two practical use cases and perform the evaluations on quantum computers and simulators to demonstrate our framework's ability to ease the burden on traditional engineers to expedite the ongoing quantum software transition.

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Enabling continuous deployment techniques for quantum services

Romero‐Álvarez,

Alvarado‐Valiente,

Moguel

et al. 2024

Softw Pract Exp

Self Cite

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Early advances in quantum computing have provided new opportunities to tackle intricate problems in diverse areas such as cryptography, optimization, and simulation. However, current methodologies employed in quantum computing often require, among other things, a broad understanding of quantum hardware and low‐level programming languages, posing challenges to software developers in effectively creating and implementing quantum services. This study advocates the adoption of software engineering principles in quantum computing, thereby establishing a higher level of hardware abstraction that allows developers to focus on application development. With this proposal, developers can design and deploy quantum services with less effort, which is similar to the facilitation provided by service‐oriented computing for the development of conventional software services. This study introduces a continuous deployment strategy adapted to the development of quantum services that covers the creation and deployment of such services. For this purpose, an extension of the OpenAPI specification is proposed, which allows the generation of services that implement quantum algorithms. The proposal was validated through the creation of an application programming interface with diverse quantum algorithm implementations and evaluated through a survey of various developers and students who were introduced to the tool with positive results.

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Quantum Software as a Service Through a Quantum API Gateway

Cited by 39 publications

References 8 publications

Programming Quantum Neural Networks on NISQ Systems: An Overview of Technologies and Methodologies

Programming Quantum Neural Networks on NISQ Systems: An Overview of Technologies and Methodologies

QFaaS: A Serverless Function-as-a-Service Framework for Quantum Computing

Enabling continuous deployment techniques for quantum services

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