Archer Materials Limited (ASX:AXE) has entered into a collaboration with leading Artificial Intelligence and Machine Learning company, Max Kelsen. Archer and Max Kelsen are members of the global IBM Q Network.
Archer CEO, Dr Mohammad Choucair, said the collaboration is a critical step in the commercialisation of the CQ chip because the principal purpose of building quantum computing processors is to apply and run quantum algorithms to generate value from outperforming modern computing.
CQ is a world-first quantum processor technology that Archer aims to build for quantum computing operation at room-temperature and integration onboard modern electronic devices.
As part of Archer’s forward looking strategy, the partnership with Max Kelsen – a leading AI and Quantum Computing firm – is a key step forward in the commercialisation of our CQ chip technology,” Dr Choucair said.
“It’s a great example of how two Australian IBM Q Network Members are working together to realise the commercial potential of quantum computing.
“We will use IBM’s Qiskit and quantum machines to validate our work, and once validated, Archer intends to apply the end-user cases, algorithms and Qiskit to CQ chip hardware, which demonstrates the increasing value our partnerships bring as we progress in our development.”
As IBM Q Network members, Archer and Max Kelsen will use IBM’s Qiskit open source programming framework and cloud-based quantum computers to implement novel quantum algorithms developed that validate practical quantum computing applications relevant to Archer’s CQ chip technology, i.e. real uses that would benefit from quantum processors onboard technology at room temperature.
As part of the Collaboration, Archer staff will work directly with the quantum computing team at Max Kelsen to develop industrially relevant business use-cases of the CQ technology for a number of sectors with the potential for high-value add, including finance and telecommunications. This will involve the use of quantum processors to run quantum algorithms that have real applications such as Quantum Artificial Neural Networks.
