A team of researchers from the University of New South Wales (UNSW) has developed silicon-based quantum processors and shown that it is possible to build silicon-based quantum devices compatible with manufacturing and applications current semiconductors.
Posted in Nature, research shows that it was possible to achieve single-qubit operating fidelities of up to 99.9% accuracy, two-qubit operating fidelity of 99.3% accuracy, and a three-qubit system including an electron and two phosphorus atoms introduced into the silicon by ion implantation with a fidelity of 92.5%.
“Today’s publication in Nature shows that our operations were 99% error-free,” said UNSW professor Andrea Morello, who led the work in partnership with the University of Melbourne, University of Technology Sydney and others based in the United States. United States, Japan and Egypt.
“When errors are so rare, it becomes possible to detect them and correct them when they occur. This shows that it is possible to build quantum computers that have enough scale and enough power to handle computations significant.
“This research is an important step in the journey that will lead us there.”
The results were confirmed by two other independent research teams, also published in Nature. A team of researchers in the Netherlands reported achieving 99.9% single-qubit and 99.7% two-qubit fidelities using electron spins in quantum dots formed in a silicon-alloy stack silicon-germanium.
Similarly, a team of Japanese researchers achieved 99.8% single-qubit and 99.5% two-qubit fidelities in two electrons using silicon and silicon-germanium alloy quantum dots.
The article said the research proves that silicon-based semiconductor spin qubits are stable enough to retain quantum information for long periods of time and can be scaled using existing techniques used for fabrication. of semiconductors.
“Until now, however, the challenge has been to perform quantum logic operations with high enough precision,” Morello said.
“Each of the three papers published today demonstrates how this challenge can be overcome to such a degree that errors can be corrected faster than they appear.”
According to Morello, the ability to achieve error rates below 1% leaves open the possibility of designing silicon quantum processors that scale and perform reliably for useful computations.
Meanwhile, Canberra-based Quantum Brilliance has announced that it will undertake a $22.5 million joint research project with Germany’s Fraunhofer Institute for Applied Solid-State Physics IAF and the Institute for Quantum Optics. from the University of Ulm to develop new techniques for manufacturing high-performance quantum microprocessors. .
Backed by the German government, the project will aim to solve two key challenges related to diamond-based quantum computers by 2025, Quantum Brilliance said. These are the development of atomically precise techniques for the fabrication of quantum microprocessors and the search for new methods of selectively manipulating qubits in quantum computers with multiple processor nodes.
As part of this collaboration, Quantum Brilliance and Fraunhofer IAF will jointly develop precision fabrication techniques for fabricating scalable arrays of diamond qubits. Additionally, Fraunhofer IAF will work on growth processes for diamond substrates.
At the same time, the Institute for Quantum Optics is developing scalable readout and control techniques for diamond-based qubits to enable their precise control.
Canberra to invest A$12m in local tech commercialization projects
The Australian government has announced that it will allocate total funding of just over A$12 million to help Australian companies bring their technology projects to market.
The A$12.2 million will be shared among 22 projects under the Australian Government’s Commercialization Acceleration Grants.
The largest share, A$1 million, will be donated to SDIP Innovations which will be invested in bone implant technology designed to give surgeons the ability to treat complex bone defects using bone fillers.
Other recipients are ResusRight, which will market its Juno clinical training and monitoring system to help train clinicians in neonatal resuscitation; DetectED-X to help it develop and pilot ImageID, which uses AI to help train clinicians and radiographers to improve the diagnosis of diseases, such as breast cancer; and Anderson Horticulture to develop its micropropagation technology to improve avocado cultivation practices.
Victoria-based Southern Ocean SubSea is also another company to receive a grant, which will be used to develop remotely operated vehicles capable of repairing aquaculture nets, while Western Australia’s Tribe Technology will use its share of the grant to commercialize an automated reverse circulation drill sample. system designed to improve safety in the mining sector.
“These latest projects are all great examples of Australian innovations – many of which are in high-skill manufacturing priorities – that have remarkable potential to improve the quality of our lives, create new jobs and support our economic recovery,” said said Industry, Energy and Emissions Minister Angus. Taylor said.