From simulating new and more efficient materials to predicting how the stock market will change with greater precision, the ramifications of quantum computing for businesses are potentially huge. The world's biggest companies are now launching quantum computing programs, and governments are pouring money into quantum research. For systems that have yet prove useful, quantum computers are certainly garnering lots of attention. Quantum computers offer great promise for cryptography and optimization problems, and companies are racing to make them practical for business use. ZDNet explores what quantum computers will and won't be able to do, and the challenges that remain.

Cambrian-AI Research Sr. Analyst Gary Fritz contributed this blog. AI has been advancing dramatically in the last decade. It is able to solve classes of problems (facial recognition, machine translation, autonomous vehicles, and others) that were not suitably handled by traditional methods. But there are many important problems that cannot be addressed by traditional or AI approaches, either within a reasonable timeframe or, possibly, at all. Some of these problems can be attacked with Quantum Computing when that technology comes out of research and becomes more widely available.

As part of our mission to expand our world class team Cambridge Quantum Computing's Machine Learning (ML) team is searching for a Machine Learning Intern. This hire will support the development of new machine learning models for financial forecasting and the analysis of scientific research results. The intern will be assisting the team of scientists in developing and analysing machine learning models, improving current models through continual learning, and taking care of data curation and pre-processing for the various datasets. The successful candidate will join the London Victoria office and will be working in a highly dynamic, development-focused group, alongside software engineers and machine learning scientists with plenty of room for professional growth. What is in it for you?