Atos has announced that it delivers Quantum-Learning-as-a-Service (QLaaS) to artificial intelligence (AI) startup Xofia. With QLaaS, the startup wants to develop quantum-driven AI solutions for the enterprise.

Xofia combines artificial intelligence with quantum-based algorithms to implement problem-solving strategies to develop a futuristic platform for the enterprise. That’s what Quantaneo reports.

By using the Atos QLaaS model, Xofia’s research and development team can remotely access an Atos Quantum Learning Machine. This is a stand-alone appliance that provides access to a quantum programming environment and can simulate the behaviour of any type of quantum computing technology.

Atos further supports Xofia in providing quantum consulting, training and system administrator services.

Supporting a large ecosystem

Quantum computing can be interesting because it is more powerful than traditional computer architecture. Such computers use qubits, which – unlike traditional computers – can be represented as 1, 0 or both at the same time. The result is virtually unlimited computing power.

According to Ludovic Sauvage, the collaboration with Xofia, head of big data, high performance and quantum computing at Atos North America, is part of a broader strategy to support a large ecosystem of startups in this sector.

With Xofia, we help create quantum-driven AI solutions that are scalable, high-performance, and have the ultimate simulation power needed to solve future big data challenges that are inevitable in the enterprise.

Two use cases

Xofia’s quantum-based algorithms already support two important use cases, which Atos’ QLaaS should help with.

First of all, it focuses on energy. The compression of big data in reservoir management significantly reduces the number of functions that are part of reservoir analysis, which can simplify the risk or potential of a reservoir too much. Xofia wants to prevent this by developing quantum algorithms that can have a more extensive function selection and a more accurate pattern matching.

In addition, Xofia wants to reduce the gap between accurate and affordable image processing in the healthcare sector. It wants to do this by creating and implementing quantum-based algorithms and quantum simulations that can reduce the cost and time of image processing.