We are seeking a Research Scientist to join our team in Cambridge or London, working on the development of quantum algorithms with a focus on computing topological and geometric invariants of data. This role offers the opportunity to contribute to cutting-edge research aimed at advancing the capabilities of quantum computers and exploring their potential advantages for real-world applications.
In this role, you will develop novel quantum algorithms in computational topology and geometry, characterize their resource requirements and noise-robustness properties, and explore potential applications of these algorithms for data analysis in the near-fault tolerant era. You will implement these algorithms on Quantinuum’s quantum hardware and optimize their performance under realistic hardware constraints, leveraging error mitigation and quantum error correction.
You will collaborate closely with researchers across the full quantum computing stack—including hardware, quantum error correction, and software teams—to translate theoretical advances into experiments on real quantum processors. You will also support collaborations with academic and industry partners to explore and develop promising use cases for quantum topological data analysis.
Researchers in this role are encouraged to publish their work in leading scientific journals and present their results at top international conferences.
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- Key Responsibilities Conduct research on quantum algorithms with a focus on topological and geometric invariants of data
- Develop mathematical frameworks that exploit problem structure to improve resource efficiency and error robustness
- Design, implement, and optimize quantum algorithms on simulators and Quantinuum’s quantum hardware
- Contribute to end-to-end resource estimation of quantum algorithms under realistic hardware constraints
- Collaborate with industry and academic partners on projects exploring the near-term applications and feasibility of quantum algorithms for QTDA.
- Communicate scientific results internally across teams and externally through publications and conference presentations
Requirements
- PhD (or equivalent experience) in physics, mathematics, computer science, or a related field
- Research experience in quantum algorithms, ideally with exposure to Quantum Topological Data Analysis and/or Quantum Error Correction.
What We Value
- Demonstrated research track record through publications in quantum algorithms, computational topology, or related areas
- Hands-on experience implementing quantum algorithms on quantum hardware
- Strong understanding of quantum error correction and algebraic topology
- Excellent written and oral communication skills
- Programming experience in a high-level language such as Python and familiarity with quantum software frameworks such as pytket, Guppy, or Qiskit
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What is in it for you?
Working alongside a highly talented team, with leading names in the quantum computing industry. We offer a highly competitive package, equity, 28 days of paid holiday (in addition to public holidays), a workplace pension, a positive approach to flexible working and enhanced parental and adoption benefits.
About Us:
Quantinuum is the world leader in quantum computing. The company’s quantum systems deliver the highest performance across all industry benchmarks. Quantinuum’s over 650 employees, including 400+ scientists and engineers, across the US, UK, Germany, and Japan, are driving the quantum computing revolution.
By uniting best-in-class software with high-fidelity hardware, our integrated full-stack approach is accelerating the path to practical quantum computing and scaling its impact across multiple industries.
By joining Quantinuum, you’ll be at the forefront of this transformative revolution, shaping the future of quantum computing, pushing the limits of technology, and making the impossible possible.
Visit our news pages to learn more about Quantinuum and our scientific breakthroughs and achievements: https://www.quantinuum.com/news
Quantinuum Intro Video: The Future of Quantum Computing
Please note that employment with us is subject to successfully passing our pre-employment screening checks. We are an inclusive equal opportunity employer. You will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status.
TECHNICAL & MARKET ANALYSIS | Appended by Quantum.Jobs
The emergence of Advanced R&D Scientists specializing in quantum algorithms is pivotal as the deep-tech sector transitions from noisy intermediate-scale quantum regimes to fault-tolerant architectures. This role type serves as a structural nexus between theoretical quantum information science and industrial-scale computational applications. By developing mathematically rigorous frameworks in topological data analysis and geometric computing, research scientists resolve the translation gap between theoretical quantum advantage and operational algorithmic deployment. Market signals from international quantum initiatives indicate that cross-layer algorithmic optimization is essential for maximizing physical hardware fidelity. Consequently, this specialization directly secures the long-term viability of practical quantum software solutions within the global technology value chain.
Within the broader quantum technology ecosystem, algorithm research resides at the critical intersection of software stack development, quantum error mitigation, and domain-specific application layers. As physical QPU architectures scale in gate fidelity, the primary bottleneck for industrial adoption shifts from raw physical qubit counts to algorithmic resource efficiency and noise robustness. Current industry dynamics necessitate sophisticated translation mechanisms that map high-dimensional data problems directly onto hardware-native instruction sets. Sector-wide efforts continue to address talent and integration challenges in quantum systems to ensure theoretical models translate effectively into reproducible computational workflows.
The commercialization of advanced quantum software remains constrained by vendor fragmentation and the absence of standardized compilation protocols. Public-private partnerships and national strategies place heavy emphasis on establishing robust software tooling that can bridge heterogeneous hardware backends. Research efforts in computational topology and error mitigation mitigate these ecosystem bottlenecks by defining algorithmic boundaries that remain resilient under physical hardware constraints.
Furthermore, academic and industrial value chains depend on these research roles to guide hardware development paths through end-to-end resource estimation. By formalizing early-stage use cases across complex data structures, advanced algorithm development provides the baseline metrics necessary for downstream enterprise integration and capital allocation.
The capability architecture for advanced algorithm research encompasses computational topology, quantum error correction, algebraic geometry, and compiler-level program execution. Expertise in high-level quantum development frameworks alongside low-level circuit synthesis enables the structural co-design of software routines tailored to specific hardware modalities. These technical competencies drive algorithmic throughput by optimizing gate counts, circuit depths, and error-mitigation protocols before execution on physical processors. This interdisciplinary integration establishes predictable performance baselines, facilitating interoperability between abstract mathematical models and hardware execution layers. - Accelerates the transition from theoretical quantum mathematical models to hardware-executable algorithms
- Mitigates physical hardware constraints through circuit-level optimization and advanced error-mitigation techniques
- Enhances algorithmic resource efficiency by optimizing gate counts and reducing decoherence overhead
- Drives co-design integration between quantum software stack development and underlying hardware architectures
- Establishes standardized resource estimation protocols for fault-tolerant and near-term quantum computing
- De-risks commercial research investments by identifying high-value computational topology use cases
- Facilitates knowledge transfer between academic research networks and commercial quantum developers at Quantinuum
- Expands global intellectual property portfolios through published breakthroughs in peer-reviewed scientific journals
- Improves software-hardware interoperability across disparate quantum computing paradigms and compilers
- Broadens the application frontier of quantum data analysis across industry-relevant data structures
- Strengthens organizational readiness for early adoption of fault-tolerant quantum processing architectures
- Supports cross-functional alignment between theoretical physics, compiler development, and application teamsIndustry Tags: Quantum Algorithms, Topological Data Analysis, Quantum Error Correction, Quantum Information Theory, Quantum Computational Geometry, Software Hardware Co-design, Resource Estimation, Quantum Compilers
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