Diraq puts Australia’s first quantum computer live in Sydney
Diraq has put Australia’s first quantum computer into commercial service at Equinix in Sydney, with eight live qubits and a 256-qubit target within one year.

Why it matters
- Eight qubits went live at Equinix in Sydney on November 10, 2026; Diraq targets 256 within one year.
- The live system occupies 16 square metres and draws less than 20 kW.
- Diraq’s medicine model links a 10-point trial-success rise to 50% more medicines and up to 25 annual US additions.
- A future utility-scale system could cost tens of millions, draw around 300 kW and fit in five square metres.
- Diraq reached DARPA Stage C, with potential funding up to USD $300 million, and signed a USD $38 million US Commerce letter of intent.
By Elena Vasquez
On Tuesday, November 10, 2026, Diraq put Australia’s first quantum computer into live service inside an Equinix data centre in Sydney. The machine has eight qubits. The system occupies 16 square metres and draws less than 20 kW, according to Diraq.
Those figures, the company says, show that quantum hardware can operate inside existing data centres rather than requiring purpose-built sites. Diraq says the deployment moves an Australian-built machine out of research and into a facility used for mainstream workloads across banking, healthcare, utilities, manufacturing and retail.
Equinix frames the move as part of an effort to integrate quantum systems into commercial technology estates instead of leaving them in laboratories. Equinix says the installation creates a path for quantum systems to connect with cloud, artificial intelligence and high-performance computing environments already used by corporate customers.
What changes when the machine leaves the lab?
Diraq builds silicon spin quantum systems using semiconductor manufacturing processes similar to those used for conventional computer chips. The company says customers could expand computing capacity by upgrading the quantum processor while making only limited changes to the surrounding infrastructure.
Diraq plans to scale the Sydney system from eight qubits to 256 qubits within the next year. For Diraq, the eight-qubit installation now has a clear near-term checkpoint.
Equinix described the deployment as a marker for Australia’s quantum sector as companies try to bridge the gap between research and operational use. “We are now at a point where quantum computing can start to reach industries and the people they serve,” said Andrew Dzurak, chief executive officer and founder of Diraq.
Dzurak said the shift matters more than any single milestone because it changes what is possible in fields quantum touches, including medicine, materials and logistics. He said the company’s silicon spin approach puts that shift within reach in five years rather than decades.
He also said the approach provides a manufacturing path already proven at industrial scale. Dzurak said Diraq’s cost curve improves as the company adds qubits, and that the system is designed to run inside today’s existing computing infrastructure.
At Equinix, Jarrod Nink, managing director for Australia, said: “By hosting Australia’s first quantum computer in a commercial data centre, we are helping bridge the gap between research and deployment.”
Nink said the arrangement also creates a foundation for quantum systems to connect seamlessly with the cloud, AI and high-performance computing ecosystems that enterprises rely on today. He called the deployment an important milestone for Australia’s quantum industry.
For corporate users, Equinix points to access to cloud, AI and high-performance computing resources. Diraq points to an upgrade path that requires only limited changes to the surrounding infrastructure.
Together, the claims make the Equinix site a test of integration, not only a hardware installation.
What does the medicine model actually estimate?
Diraq also released a report examining how quantum computing could affect medicine, energy, materials, climate and transport. Part of the analysis focused on the economics of drug development.
Diraq says developing a new medicine can cost more than USD $2 billion and take up to 15 years. Fewer than one in 10 candidates reach patients, according to the company.
Using modelling derived from an industry cost study published in Nature Reviews Drug Discovery, Diraq produced three estimates:
- Diraq’s model says a 10 percentage-point rise in clinical trial success rates could produce about 50% more potentially lifesaving medicines reaching patients each year.
- Diraq estimates that, in a market the size of the United States, the gain could mean as many as 25 additional medicines annually.
- Diraq’s model says the same improvement could save USD $600 million per medicine by identifying failed candidates earlier, provided the quantum computer used to produce that result costs less than USD $65 million a year to run.
The clinical-trial success rate is the lever in Diraq’s model. A higher rate changes how many candidates reach patients, while earlier identification of failures could reduce spending on candidates that will not succeed. The model then weighs those savings against the machine’s yearly operating cost.
Diraq uses the USD $65 million threshold to argue that useful quantum systems must create more value for customers than they cost to operate. The company says commercial viability depends on both scientific progress and operating costs staying below the value created.
Diraq presented the figures as modelling projections derived from the published cost study.
What has to scale for the business to work?
Diraq says many competing architectures become more expensive as they scale because they require more cooling, wiring and control equipment. By contrast, Diraq says it is targeting utility-scale systems that would cost no more than tens of millions of dollars.
Diraq says a future utility-scale machine could draw around 300 kW. The company describes that as less than a third of the power required by a single next-generation AI rack. It also says the machine could shrink to as little as five square metres.
Those are future design targets, not the specifications of the eight-qubit machine. The live system currently provides a 16-square-metre, sub-20 kW baseline.
Diraq frames the commercial comparison as cost against the value of a result, not laboratory performance alone. Its 300 kW and five-square-metre claims support the premise that utility-scale hardware can fit inside the data-centre model.
Who is backing Diraq’s expansion?
Diraq’s deployment follows earlier support for its manufacturing plans in Australia from the National Reconstruction Fund Corporation. The company has also advanced to Stage C of DARPA’s Quantum Benchmarking Initiative, which carries potential funding of up to USD $300 million. Diraq separately signed a USD $38 million letter of intent with the US Department of Commerce under the CHIPS and Science Act.
Diraq is pursuing that scale-up through Australian manufacturing support and two US-linked programmes. The potential funding and letter of intent sit alongside the eight-qubit deployment and 256-qubit target.
Dzurak cited an estimate that advanced quantum technologies have already helped compound USD $19 trillion to USD $27 trillion in value globally. He also cited BCG’s estimate that quantum computing could unlock a further USD $3.5 trillion at maturity.
Dzurak said the companies that build real capability now will capture that future value. He called the Sydney deployment a way for Australia to prove research born there can be engineered and built to a global standard, with value reaching people at home and around the world.
The economic figures remain estimates. Diraq’s current specifications cover eight qubits, 16 square metres and less than 20 kW; its 256-qubit and utility-scale designs remain targets.
Within one year, Diraq will have a measurable answer: whether the live system can reach 256 qubits inside Equinix’s Sydney facility. The harder test is whether quantum systems can connect seamlessly to cloud, AI and high-performance computing workloads while operating below the cost of the value they create.
Source: itbrief.com.au
More from Elena Vasquez
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Market editor covering technology and product news in artificial intelligence and machine learning at AI In Context.
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