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OpenQase - Quantum Computing Business Applications Platform

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Built with ❤️ by the quantum computing community

    Back to Personas

    Domain Expert

    Bridging the gap between quantum capabilities and domain-specific problems for breakthroughs in science and industry.

    8 Expertise Areas

    Key Expertise

    Impact Assessment
    Research Collaboration
    Subject Matter Expertise
    Industry Knowledge
    Requirements Analysis
    Solution Design
    Business Processes
    Problem Definition

    Domain Experts in quantum computing possess specialised knowledge in particular fields combined with sufficient understanding of quantum computational approaches to identify valuable application opportunities. These professionals bridge the gap between quantum computing capabilities and domain-specific problems that might benefit from quantum approaches.

    These specialists maintain primary expertise in fields such as chemistry, materials science, finance, logistics, or machine learning, while developing secondary competence in quantum computing principles and limitations. Their function involves analysing domain-specific computational challenges to identify those with characteristics potentially amenable to quantum methods, such as high-dimensional problems, specific mathematical structures, or particular computational patterns.

    Domain Experts translate field-specific problems into formulations that quantum computing specialists can implement. This translation process requires detailed understanding of the problem’s computational structure, data requirements, accuracy needs, and performance constraints. It also necessitates realistic assessment of quantum computing’s capabilities and limitations to identify genuinely promising applications rather than speculative possibilities.

    These professionals develop evaluation frameworks that assess quantum solutions against relevant domain-specific metrics rather than purely technical benchmarks. They establish validation methods to verify that quantum approaches produce correct results and meaningful advantages compared to classical alternatives.

    In multidisciplinary teams, Domain Experts function as intermediaries between quantum computing specialists and stakeholders in their fields. They interpret quantum capabilities in domain-relevant terms and communicate domain requirements to quantum specialists in computationally precise specifications.

    Research conducted by Domain Experts often focuses on identifying mathematical similarities between established quantum algorithms and domain-specific computational challenges, creating novel problem mappings, and developing domain-specific benchmarks for quantum approaches. Their work provides essential direction for quantum computing applications, ensuring development efforts focus on problems where quantum methods offer genuine potential for significant improvements.


    Recommended Reading

    The following are a hand-picked selection of articles and resources relating to the Domain Expert role and their relevant input in the effective adoption of quantum computing. The readings that follow include experts in the field, active practitioners, and notable perspectives.

    D-Wave Systems. (Accessed July 20, 2025). “Problem Formulation Guide.” D-Wave Ocean software documentation. https://docs.ocean.dwavesys.com/en/stable/overview/formulation.html

    D-Wave. (Nov. 1, 2023). “From business problem to quantum solution on a D-Wave quantum computer.” Medium. https://medium.com/d-wave/from-business-problem-to-quantum-solution-on-a-d-wave-quantum-computer-4a1d41829377

    Quantum Algorithm Zoo. (Accessed July 20, 2025). “The Quantum Algorithm Zoo.” quantumalgorithmzoo.org. https://quantumalgorithmzoo.org/


    Related Case Studies

    SandboxAQ and Deloitte on Cybersecurity

    Partnering to explore quantum-ready cybersecurity and AI solutions for the enterprise.

    Microsoft and Ford explore traffic flow optimisation

    Microsoft Azure Quantum and Ford explore opportunities to improve traffic flow optimisation.

    1QBit and BMW explore automotive optimisation

    1QBit and BMW applied quantum-inspired algorithms to optimise automotive manufacturing, logistics, and supply chain challenges.

    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.

    Classiq and Rolls-Royce explore aerospace applications

    Developing quantum algorithms for computational fluid dynamics that combine classical and quantum computing techniques for aerospace applications.

    Quantum Brilliance and Pawsey Supercomputing Centre

    Partnering to deploy the world's first diamond-based quantum accelerator in a supercomputing environment, creating Australia's first quantum-supercomputing hub.

    Zapata and Biogen explore drug discovery with quantum machine learning

    Focusing on developing quantum-enhanced machine learning models for pharmaceutical research. This collaboration aimed to accelerate the identification of drug targets and optimize molecular properties using hybrid classical-quantum algorithms.

    IBM and Daimler (Mercedes-Benz) explore battery design

    Daimler and IBM Quantum simulate chemistry for next-generation lithium-sulfur batteries, exploring quantum computing for materials discovery in the automotive industry.

    D-Wave and Pattison Food Group explore driver scheduling

    D-Wave and Pattison Food Group explore the potential of quantum-powered workforce scheduling optimization.

    QC Ware and Goldman Sachs explore quantum in finance

    QC Ware and Goldman Sachs explore quantum algorithms for financial risk assessment and asset pricing.

    Amazon AWS Braket and BMW explore automotive solutions

    A partnership to run a series of quantum computing innovation challenges for automotive applications.

    CQC and Roche partner for drug discovery

    Applying quantum computing to drug discovery, Roche and CQC (now Quantinuum) aimed to reduce development timelines by 20-30% through advanced molecular simulation.

    IonQ and Airbus explore aircraft loading optimization

    A collaboration that tackled the computationally intensive challenge of optimizing aircraft cargo loading.

    IBM and ExxonMobil explore maritime logistics optimization

    An early collaboration to explore the use of quantum computing for energy optimization and environmental modelling.

    QC Ware and Roche explore biomedical image analysis

    A collaboration to explore quantum neural networks for biomedical image analysis.

    Classiq and Sumitomo Corporation explore risk

    Exploring quantum computing for financial risk management, achieving up to 95% compression of quantum circuits for Monte Carlo simulations.

    D-Wave and NEC partner for applications in Japan

    A strategic partnership in Japan to deploy quantum annealing solutions for optimizing manufacturing, logistics, and financial services.

    IBM and MolTex Energy explore nuclear waste processing

    Exploring quantum computing for optimizing molten salt reactor designs and nuclear waste processing.

    D-Wave and Volkswagen explore optimisation and scheduling

    Applying quantum annealing to automotive optimization challenges, including urban traffic management and paint shop scheduling.

    CQC and Nippon Steel explore materials science

    Quantum computing applications in steel manufacturing, focusing on materials discovery and supply chain optimisation. This collaboration aimed to use quantum algorithms to solve complex computational challenges in metallurgy and industrial processes.

    D-Wave and Toyota tackle traffic flow optimization

    D-Wave Systems partnered with Toyota and Denso to explore quantum annealing technology for optimizing traffic flow in smart cities.

    Quantinuum and Google search for quantum circuit optimization

    A collaboration between Quantinuum and Google DeepMind to explore AI-enhanced quantum circuit optimization.

    QuEra and Pawsey conduct quantum-classical research

    Partnering to advance methods and approaches to quantum-classical integration for advanced research.

    IBM and Mitsubishi Chemical explore materials discovery

    Collaborating on catalyst design, polymer development, and reaction pathway optimization in chemical research.

    Haiqu and Quanscient explore quantum computational fluid dynamics

    Combining advanced algorithms and middleware for a breakthrough in computational fluid dynamics for the aerospace and automotive industries.

    Haiqu and HSBC encode largest financial distributions on quantum computers

    Haiqu and HSBC successfully encoded the largest financial distributions to date on near-term quantum computers, setting a new benchmark for quantum finance.

    Google and Boehringer Ingelheim Pharmaceutical Research

    Exploring drug discovery and molecular modeling for future advantages in pharmaceutical development.

    IBM and E.ON explore energy grid optimization

    Applying quantum computing to optimise power flow, energy trading, and maintenance scheduling for complex energy grids.

    Toyota Ventures invests in Haiqu to accelerate automotive innovation

    Toyota Ventures led a $4 million pre-seed funding round for Haiqu to accelerate the use of quantum computing for automotive innovation, with a focus on solving complex challenges in manufacturing, supply chain, and electric vehicle development.

    Rigetti Computing and US Air Force Research Laboratory

    Partnering to work on optimizing defence applications, machine learning, and cryptography.

    IBM and Boeing explore aerospace materials optimisation

    A collaboration between IBM Quantum and Boeing to explore the use of quantum computing for aerospace materials design and corrosion prevention.

    Zapata and BP explore energy optimisation

    Developing quantum algorithms for complex optimization challenges in oil and gas operations, including supply chain management and molecular simulation for materials discovery.

    Pasqal and BMW Group explore automotive materials simulation

    A strategic partnership focusing on automotive materials simulation, including crash test simulations and battery chemistry optimization for electric vehicles.

    Google and Volkswagen advance traffic optimisation and battery research

    Optimising urban traffic flow and simulating advanced battery materials using Google's quantum processors and algorithms.

    Honeywell Quantum Solutions and BMW Group advancing supply chain optimisation

    Applying trapped-ion quantum computing to complex supply chain optimisation and logistics problems.

    1QBit and NatWest explore financial portfolio optimisation

    Explore quantum computing for financial portfolio optimisation and risk management, enhancing traditional modeling.

    Xanadu and AstraZeneca explore drug discovery

    Exploring quantum computing for drug discovery and molecular simulation, aiming to accelerate new drug identification.

    IonQ and US Air Force Research Laboratory

    Focusing on developing quantum algorithms for optimization problems, secure communications, and advanced modeling capabilities critical to military operations.

    Pasqal and Saudi Aramco partner for energy sector applications

    Collaborating to harness neutral-atom quantum computing for optimizing energy operations and solving complex challenges in the oil and gas industry.

    CQC and Crown Bioscience explore drug discovery

    Exploring quantum computing for drug discovery and molecular simulation, demonstrating up to 100x speedup in specific molecular property calculations.

    Professional Profile

    Core Expertise
    Impact Assessment
    Research Collaboration
    Subject Matter Expertise
    Industry Knowledge
    Requirements Analysis
    Solution Design
    Business Processes
    Problem Definition