Quantum Algorithms and Machine Learning Scientist

London, Victoria /
Science & Technology – Machine Learning and Applied Quantum Algorithms /
Full-time
Cambridge Quantum (CQ) is a global leader in quantum computing.  Our software helps our partners, collaborators, and clients to solve the most difficult problems in their industries through quantum computing. Our focus is in the areas of quantum chemistry, quantum machine learning, quantum algorithms and quantum encryption.

Quantum Algorithms and Machine Learning at Cambridge Quantum

The quantum computers available today have proven to be a viable tool to investigate scientific, engineering, and industrial problems. Yet, the full potential of quantum computation has not been unlocked. In fact, hardware limitations typical of the Noisy Intermediate-Scale (NISQ) era, such as noise, a small number of qubits, and inefficient Input/Output operations have hindered the implementation of well known, powerful algorithms. On one hand, Variational Quantum Algorithms (VQAs) can circumvent NISQ obstacles but closer scientific scrutiny is necessary to understand the trade off between robustness and efficiency. On the other hand, quantum algorithms that have quantum advantage guarantees and are suitable for NISQ devices are mostly unexplored territory.
At CQ we have studied machine learning (ML) problems and used parameterized quantum circuits as quantum models for supervised learning, generative modelling, and Bayesian inference. CQ scientists have explored the reach of VQAs beyond ML, to attack nonlinear partial differential equations, combinatorial optimization, quantum simulation and Monte Carlo sampling. Whilst VQAs have proven to be practical and flexible tools for current NISQ computers, we believe that developing algorithms that go beyond variational approaches is crucial. We are committed to researching ways of bringing the advantage guarantees of algorithms for fault-tolerant quantum computers to NISQ hardware more systematically, which is a key goal for the whole quantum computing sector in the medium term.

Role description
Cambridge Quantum is looking to expand its cutting edge Machine Learning and Quantum Algorithms division with a full-time researcher. The successful candidate will join a world-class scientific team focused on quantum algorithms for machine learning, and other key computational problems, with a particular focus on variational and differentiable approaches. The new member of the team will participate in ongoing research projects, but is expected to pioneer new research directions in quantum algorithms and address some of the more compelling open questions.
The research will be both theoretical and aimed at benchmarking new algorithms on the state of the art of quantum computers. Significant results will be published in peer-reviewed journals and/or patented. Aside from the pure research focus, this role will support client engagements by contributing to the definition of the scientific scope, the problem formulation, and the solution using quantum algorithms.

The candidate must have

    • PhD in Quantum Physics, Mathematics, Computer Science, or related field
    • Knowledge of research topics in quantum information, quantum algorithms and machine learning
    • Published research in at least one of the aforementioned topics

Desirable Skills

    • Peer-reviewed publications on high impact factor journals
    • Familiarity with NISQ device and their implementation aspects
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 including equity participation, 28 day’s paid annual leave, a workplace pension and a positive approach to flexible working.

About Us:
Founded in 2014, CQ operates at the very core of quantum computing and is backed by some of the world’s leading partners with strong domain expertise including IBM, Honeywell and JSR Corp. Our core focus is in quantum software and enterprise applications in the area of quantum chemistry, quantum machine learning, and quantum encryption.  With over 150 professionals, CQ has a strong and unique scientific grounding in terms of its core team with over 100 scientists, of which over 70 are Ph.D. holders. CQ has a “Science Led; Enterprise Driven” approach and built a tier one ecosystem of customers, investors, and partners including IBM, Honeywell, JSR Corp, Total, Nippon Steel, and many other Fortune 500 companies. We are in the process of expanding our operations significantly across our offices in Cambridge (U.K.), Oxford, London, Washington, DC, and Tokyo.

In June 2021, CQ announced a merger with Honeywell Quantum Solutions (HQS), a Honeywell business unit and maker of the highest performing quantum computer currently available. Honeywell has been an investor in and commercial partner with Cambridge Quantum since 2019. The deal is intended to close in Q4 this calendar year and is subject to the satisfaction of certain regulatory approvals, and other customary closing conditions.

Please note that employment at CQ is subject to successfully passing our pre-employment screening checks.
CQ is an inclusive equal opportunity employer