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OpenQase - Quantum Computing Business Applications Platform

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Built with ❤️ by the quantum computing community

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    Systems Integration Engineer

    Connect quantum computing systems with classical infrastructure, developing workflows and architectures for practical quantum applications.

    8 Expertise Areas

    Key Expertise

    Hybrid Architecture
    API Development
    Cloud Integration
    Data Pipeline Design
    Enterprise Architecture
    Data Integration
    Quantum-Classical Compute
    System Interoperability

    Systems Integration Engineers in quantum computing design and implement technical infrastructures that incorporate quantum computing resources into broader computational environments. These engineers develop the architectures, interfaces, and workflows necessary for operational quantum computing systems within organisational computing ecosystems.

    These specialists design hybrid quantum-classical architectures that effectively distribute computational workloads between quantum and classical resources. This requires analysing computational problems to determine appropriate processing allocation, developing data flow patterns between system components, and establishing effective orchestration mechanisms. They implement these architectures using appropriate cloud services, on-premises systems, or hybrid approaches based on specific requirements.

    Systems Integration Engineers develop the interface layers necessary for quantum-classical integration, including APIs, data transformation services, authentication systems, and management interfaces. These interfaces must accommodate the specific characteristics of quantum computation, including job preparation, submission patterns, and probabilistic results processing, while maintaining compatibility with existing systems and workflows.

    These engineers implement operational support systems for quantum computing infrastructure, including monitoring tools, logging systems, resource management interfaces, and performance analysis capabilities. Such systems must accommodate quantum computation’s distinctive characteristics while providing necessary operational visibility and control.

    A significant responsibility involves implementing appropriate security controls for quantum computing systems, including access management, data protection, secure job execution, and audit capabilities. Security implementations must protect both the quantum resources themselves and the potentially sensitive data processed through quantum applications.

    Systems Integration Engineers develop testing and validation methodologies appropriate for integrated quantum-classical systems. This includes creating test frameworks, verification approaches, and quality assurance methodologies that can validate system behaviour despite the probabilistic nature of quantum computation.

    As organisational quantum computing adoption progresses from experimental to operational systems, these engineers develop implementation patterns that ensure reliability, scalability, and maintainability of quantum computing infrastructure. Their work enables quantum computing to function as an integrated component within broader computational environments rather than an isolated experimental capability.


    Recommended Reading

    The following are a hand-picked selection of articles and resources relating to the Systems Integration Engineer’s role in ensuring a successful installation and utility of quantum computing systems. These include experts in the field, active practitioners, and notable perspectives.

    Kubica, A., et al. (June 2023). “Architecture for a quantum datacenter.” Proceedings of the ACM on Measurement and Analysis of Computing Systems, 7(2). https://dl.acm.org/doi/10.1145/3579371.3589333

    PennyLane Development Team. (Nov. 13, 2023). “PennyLane and Slurm join forces for quantum and HPC workloads.” PennyLane Blog. https://pennylane.ai/blog/2023/11/pennylane-and-slurm-join-forces-for-quantum-and-hpc-workloads/

    Amazon Web Services. (May 2023). “Amazon Braket: A Secure Path from Proof of Concept to Enterprise Integration.” AWS Whitepapers. https://d1.awsstatic.com/whitepapers/Amazon_Braket_A_Secure_Path_from_Proof_of_Concept_to_Enterprise_Integration.pdf

    Microsoft. (Dec. 12, 2023). “Azure Quantum architecture.” Microsoft Learn. https://learn.microsoft.com/en-us/azure/quantum/architecture-overview

    Google Quantum AI. (March 22, 2023). “Announcing the Quantum Virtual Machine and new features with Quantinuum.” Google Quantum AI Blog. https://quantumai.google/blog/quantinuum-features

    Amazon Web Services. (Dec. 7, 2021). “Access Amazon Braket through a secure, private network using AWS PrivateLink.” AWS Quantum Computing Blog. https://aws.amazon.com/blogs/quantum-computing/access-amazon-braket-through-a-secure-private-network-using-aws-privatelink/

    Amazon Web Services. (June 10, 2021). “Monitor Amazon Braket jobs using Amazon CloudWatch.” AWS Quantum Computing Blog. https://aws.amazon.com/blogs/quantum-computing/monitor-amazon-braket-jobs-using-amazon-cloudwatch/


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    QUARBONE's quantum-classical hybrid system explores carbon nanotube coprocessors

    The QUARBONE project, a collaboration between C12 Quantum Electronics, ATOS, and Artelys, aims to enhance industrial optimization through a quantum-classical hybrid system utilizing carbon nanotube coprocessors, achieving significant improvements in solution quality and computational efficiency across sectors like energy, logistics, chemistry, and finance.

    IBM and Daimler (Mercedes-Benz) explore battery design

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    D-Wave and Volkswagen explore optimisation and scheduling

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    Professional Profile

    Core Expertise
    Hybrid Architecture
    API Development
    Cloud Integration
    Data Pipeline Design
    Enterprise Architecture
    Data Integration
    Quantum-Classical Compute
    System Interoperability