Quantum Machine Learning Scientist
London, Victoria /
Science & Technology – Machine Learning and Applied Quantum Algorithms /
Cambridge Quantum Computing (CQC) is a global leader in software and enterprise applications that help its partners, collaborators, and clients to work effortlessly across multiple platforms and solve some of the most intriguing problems in their industry through quantum computing. Our focus is in the areas of quantum chemistry, quantum machine learning, and quantum encryption.
CQC has a strong and unique scientific grounding in terms of its core team with over 80 scientists, of which over 60 are Ph.D. holders. We are in the process of expanding our operations significantly across our offices in Cambridge (U.K.), Oxford, London, Washington, DC, and Tokyo.
Quantum machine learning (QML) is one of the most interesting applications of quantum computers. For example, parameterized quantum circuits (PQC) can be trained to perform tasks such as classification, regression, and generative modelling (see our recent Topical Review  for an introduction).
QML algorithms can be successfully implemented using hybrid quantum-classical systems and are amongst the most promising techniques to show a near-term impact on real-world problems. Firstly, it has been empirically shown that they can cope with noise, a limited number of quantum bits, and shallow circuits. Secondly, it has been theoretically shown that some classes of circuits have remarkable expressive power and share many aspects with classical neural network models. Also, QML borrows many concepts with Deep Learning and other areas of statistical learning and these links have not been thoroughly explored; in this respect, it offers great opportunities to Machine Learning experts interested in quantum computing applications.
The field is thriving with new ideas and open questions such as proving quantum advantage, assessing computational complexity, designing variational circuits, and efficient state preparation, to name a few.
CQC is looking to expand its cutting-edge Machine Learning and Quantum Algorithms team with a full-time research lead. The role entails contributing to world-class scientific research on quantum algorithms for supervised  and unsupervised  learning. We are also looking to expand our research portfolio in directions that can demonstrate the impact of PQC on computational techniques with business applications. The research will be both theoretical and aimed at prototyping and benchmarking new algorithms on the state-of-the-art of quantum computers.
This position is embedded in a team of world-class academics focusing on hybrid quantum algorithms for near term application, such as combinatorial optimization and Monte Carlo sampling, in partnership with some of the global leaders in the financial, manufacturing, chemical and shipping industries.
- PhD in Quantum Physics, Computer Science
- Knowledge of quantum information, quantum algorithms and machine learning
- Published research in at least one relevant topic
- Peer-reviewed publications on high impact factor journals
- Familiarity with NISQ device and their implementation aspects
-  Benedetti et al., Parameterized quantum circuits as machine learning models,
- https://arxiv.org/abs/1906.07682 (2019)
-  Grant, et al., Hierarchical quantum classifiers,https://www.nature.com/articles/s41534-018-
- 0116-9 (2018)
-  Benedetti et al., A generative modeling approach for benchmarking and training shallow
- quantum circuits, https://www.nature.com/articles/s41534-019-0157-8 (2019)
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.
Founded in 2014, CQC 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 130 professionals, CQC has a strong and unique scientific grounding in terms of its core team with over 80 scientists, of which over 60 are Ph.D. holders. CQC 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.
Please note that employment at CQC is subject to successfully passing our pre-employment screening checks. CQC is an inclusive equal opportunity employer