Cambridge Quantum Computing (CQC) is a leading independent Quantum Computing company that also has a very strong team in Machine Learning (especially Deep Learning).
CQC has developed an expertise in AI and believes that Quantum Machine Learning will be a key area in the future. As part of its AI activity, the company has developed ARROW> a suite of AI algorithms that work on a classical computer. In its first iteration ARROW> provides selected partners with the tools to derive value from complex time series.
We design and build tools for the commercialisation of quantum technologies. We concentrate on developing quantum technologies capable of becoming useable applications with current or future industrial implementation and our specialisation is on the algorithms and programmes that will power quantum computers.
Our product set includes the following key areas that have emerged from our initial period of R&D:
- A classical simulator for quantum processes – CQC has designed ti|ket>, a proprietary operating system for Quantum Computers that includes a compiler that solves a previously hard to manage problem relating to locality constraints – an essential innovation that will provide much needed utility to quantum processors;
- Quantum cryptography and control of information over distributed networks with a published patent that solves a long standing problem about the exchange of high value tokens;
- Quantum protocols for randomness generation that are capable for use in the current environment using quantum technologies;
- Classical and quantum algorithms for pattern recognition and optimisation.