Archer Materials has announced that it will sign a contract with Australia’s Missile Corporation (AMC). As a result, the former will work on the development of sovereign defense capabilities.
Australia’s Missile Corporation is a subsidiary of NIOA, the prime contractor of defense and the largest supplier of Australian-owned weapons and munitions defense.
Archer said he is developing quantum computing processor chip technology and now has advanced semiconductor manufacturing capabilities that will benefit future sovereign-guided weapons companies.
The non-binding agreement signed by Archer with AMC focuses on its 12CQ quantum computing chip technology.
The agreement is part of Scott Morrison’s A $ 1 billion sovereign guided weapons company initiative, which will support the production of missiles and guided weapons for use throughout the Australian Defense Force.
The initiative will receive a total of A $ 270 billion over the next decade to strengthen Australia’s defense forces through high-tech submarines, new fighters, hypersonic weapons, and advanced munitions.
“Archer supports the government’s vision for the development of sovereign-guided weapons companies in Australia and looks forward to contributing to the NIOA’s joint initiative,” said Dr. Mohammad Schucare, CEO of Archer.
“Archer brings to the country’s efforts key capabilities in quantum computing and advanced semiconductor material manufacturing, which are essential to the creation, support and development of Australia’s defense capabilities.”
Earlier this month, Archer provided the latest information on the development of the 12CQ chip.
Archer has worked with Brisbane-based Max Kelsen to develop chip-related quantum algorithms in the field of AI. Both parties are members of the IBM Quantum Network.
“Quantum algorithm development, testing, and validation are important parts of the early development and commercialization of the 12CQ chip, as it links the chip’s behavior to end-use applications,” Archer said.
“The collaboration with Max Kelsen is part of the company’s broader strategy for end-use and applications of 12CQ chips in mobility technology.”
According to Archer, the pair has made great strides in the development of quantum neural networks. This work involves adapting a unique class of quantum algorithms, called quantum approximation optimization algorithms, to be used for training quantum neural networks, and more generally variational quantum eigenvalue solvers. That is.
“Early results of ongoing algorithm development by Max Kelsen show that the performance of the algorithm can be significantly improved, which is to implement quantum neural networks and related algorithms in short-term early versions of the quantum. It’s important because it can provide a viable path. It’s a computing hardware device, “Archer explained.
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