Dell Technologies has deployed a high-performance computing cluster inside Diraq’s Sydney laboratory, forging a uniquely close link between quantum and classical systems for low-latency testing. This collaboration aims to overcome a critical hurdle in quantum computing: practical integration with existing high-performance infrastructure.

“We’re working with Dell to create integrated systems that call classical AI and CPUs for the big number crunching,” explains Diraq CEO and Founder Andrew Dzurak, “Then, when there’s a specific hard problem, you call the quantum processing unit.” The companies are focused on an approach where each system tackles the tasks it performs best.

Co-Located System Validates Low-Latency Quantum-Classical Connectivity

Dell Technologies has established a small high-performance computing cluster directly within Diraq’s Sydney laboratory, creating a unique environment for testing co-located quantum and classical computation with minimized latency. This physical proximity allows for rapid communication between systems, which is important for validating the potential of hybrid workflows. Diraq’s silicon spin qubits, notable for their operational speed, demand this low-latency connection for effective feedback loops between quantum processing and classical control mechanisms.

The initial focus of this collaboration centers on validating baseline latency and running basic test circuits, confirming the ability of Dell’s HPC infrastructure and Diraq’s quantum processor to operate as a unified computing environment. This work extends beyond mere connectivity; it’s about establishing a stable and predictable interface between fundamentally different computing paradigms.

Diraq’s approach to building silicon spin qubits on standard CMOS foundry lines is central to this integration, as it offers a pathway to scaling qubit density without requiring entirely new manufacturing processes. The company aims to fit millions of qubits on a single chip, a goal that necessitates minimizing the peripheral infrastructure typically associated with other quantum architectures.

Beyond hardware, Dell is adapting its orchestration capabilities to manage the distribution of computational tasks between classical servers and the quantum processor. This orchestration layer will translate workloads into sequences combining classical computation with quantum operations, scheduling them efficiently and collecting results.

Automated qubit calibration and tuning represent an early use case, where classical resources analyze data and rapidly adjust the quantum device. “The type of problems that quantum computers are going to be really good at are actually too difficult for AI.” This framing suggests a future where quantum computers don’t replace classical systems, but rather augment them, tackling problems that are intractable for even the most powerful conventional machines.

John Roese, Dell Global CTO and Chief AI Officer, echoed this sentiment, noting, “The really complex problems in the world need systems that bring different types of compute together.” Diraq’s silicon-based technology, designed for scalability and compatibility with existing semiconductor manufacturing, is ideally suited to address the integration challenges inherent in building these hybrid systems. “We like democratizing technology,” said Roese.

“We’re getting closer to real systems, and it’s great to see the focus on qubits that can solve problems at scale.” The ultimate goal, according to Roese, is to create viable, cost-effective, and scalable quantum systems that open possibilities in mathematics and beyond. “Generative AI was a big deal. Quantum is potentially a bigger deal because it will build on the shoulders of giants,” he said.

We’re working with Dell to create integrated systems that call classical AI and CPUs for the big number crunching.
Andrew Dzurak, Diraq’s CEO and Founder

Dell Orchestration Adapts HPC for Hybrid Quantum Workflows

The company, founded in 2022 and backed by over US$140 million in funding, recently expanded its presence with a new U.S. tech hub in Los Angeles, assembling a 20-person team focused on silicon spin qubit development. This expansion, alongside partnerships with NVIDIA and Iceberg Quantum, underscores Diraq’s commitment to building a complete quantum computing ecosystem. “Once we have viable, cost-effective, at-scale quantum systems, it changes everything,” said Dzurak.

“It will open up areas of mathematics we’ve never been able to tackle. We’re already seeing an affinity with AI: whatever the state of the art is on any given day, parts of it suddenly become orders of magnitude faster, cheaper, and better.” The exploration of hybrid use cases, such as drug discovery, highlights the potential for quantum acceleration to complement classical methods, rather than replace them. “The term of the day is hybrid quantum-classical computing,” said Roese.

It’s vital that we create hybrid systems with quantum computers working alongside high-performance AI.
Andrew Dzurak, Diraq’s CEO and Founder

Silicon Qubits Enable Scalable, Data Center Integrated Quantum Computing

This work aims to demonstrate that quantum processors can be integrated into existing high-performance computing practices, avoiding the need for entirely new operational models. This approach differs from architectures requiring extensive peripheral infrastructure, using Diraq’s silicon-based design for density and compatibility. Diraq and Dell are actively exploring hybrid use cases, with initial analysis centering on computationally intensive fields like drug discovery, the company says. The companies’ roadmap envisions quantum acceleration integrated into existing HPC workflows, complementing rather than replacing classical methods.

This density is intended to allow a single cryogenic refrigerator to house a utility-scale quantum computer, seamlessly integrating into data centers globally. The partnership with Dell, alongside existing collaborations with NVIDIA, GlobalFoundries, and imec, positions Diraq as a key player in translating quantum potential into practical, scalable solutions.