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About the Role
Develop low-qubit quantum methods for synthetic and rare-event data generation, rigorously benchmarking them against classical alternatives, and turning validated research into components for OQC's hybrid computing platform.
Responsibilities
- Develop conditional, low-qubit quantum generators for synthetic and rare-event data, including banking use cases.
- Design and evaluate approaches including latent-space QCBMs, adversarial models and continuous-output quantum generative methods.
- Experiment with QCBMs, qGANs, quantum Boltzmann methods, variational circuits and quantum sampling techniques.
- Benchmark quantum generative models rigorously against strong classical alternatives to establish where they provide meaningful value.
- Optimise circuits, measurements and training requirements around realistic QPU constraints and hardware limitations.
- Test and validate approaches across simulators and quantum hardware, using experimental evidence to guide development.
- Package validated quantum generator components for repeatable execution through OQC's hybrid computing platform.
Requirements
- Experience as a quantum algorithms researcher or engineer, with a focus on low-qubit generative modelling.
- Hands-on experience with approaches such as QCBMs, qGANs, quantum Boltzmann methods, variational circuits or quantum sampling.
- Strong understanding of quantum algorithms and the practical constraints involved in executing them on current quantum hardware.
- A rigorous experimental approach, including a willingness to benchmark quantum techniques against credible classical alternatives.
- The ability to turn research questions into structured experiments, analyse results and use evidence to determine the next technical direction.
- Strong ownership and communication skills, with the ability to collaborate effectively across quantum, software, product and engineering disciplines.
- Experience taking quantum research software or experimental methods into repeatable engineering workflows.
- Experience packaging research algorithms or models for integration into broader software platforms.
- Familiarity with regulated enterprise use cases and evidence-led product development.
- Experience applying quantum generative modelling to synthetic or rare-event datasets.
- A pragmatic, curious approach and comfort working in a fast-evolving technical environment.
Skills
- Quantum algorithms
- Generative models
- Low-qubit quantum methods
- Synthetic data generation
- Rare-event data generation
- QCBMs
- qGANs
- Quantum Boltzmann methods
- Variational circuits
- Quantum sampling techniques
- Quantum computing
- Computer Science
- Physics
Location
- London
Work Type
- Hybrid
Experience Level
- Researcher or engineer experience
- Postgraduate qualification
Education Level
- Degree or equivalent practical experience in Quantum Computing, Computer Science, Physics or a related discipline.
- Relevant professional or postgraduate qualification
Benefits
- World-class team
- Culture of bold innovation
- Unique lab infrastructure
- Opportunity to redefine computation limits
About the Company
- OQC is building the future by transitioning quantum computing from an academic dream into a commercial reality.
- Recently closed a £260 million Series C funding round, the largest fundraise ever completed by a quantum computing company in Europe.
- Offers a culture of bold innovation, the chance to work with unique lab infrastructure, and the opportunity to see your work redefine the limits of computation.