German innovators aim to manufacture transportable quantum processors employing diamonds, asserting that their Quantum Processing Unit (QPU) will eventually coexist alongside Graphics Processing Unit (GPU) or Central Processing Unit (CPU).

Quantum Brilliance, an innovative tech firm based in Germany and Australia, is pushing the boundaries of quantum computing by developing portable quantum computers using diamond-based quantum processing units (QPUs). These ingenious devices, designed to operate at your average living room temperature, could change the game for artificial intelligence inference, all while saving a pretty penny compared to traditional hardware.

These revolutionary devices are destined to work alongside high-performance graphics processors (GPUs) and CPUs, either in servers or vehicles, heralding a future where integrating quantum computing could be as simple as plugging in a GPU for AI inference.

Going Beyond the Expected in Quantum Computing

For years, researchers have been working tirelessly to develop high-purity synthetic diamonds, keeping impurities at bay to minimize interference. This is no small feat, as pure synthetic diamonds have been a hot commodity in the quantum world.

Recently, a collaborative effort between a Japanese jewelry firm and academic researchers delivered a breakthrough method for producing ultra-pure, two-inch diameter diamond wafers.

Amazon's Center for Quantum Networking joined the party in 2023, partnering with De Beers’ Element Six to cultivate lab-grown diamonds for use in quantum communication systems.

Now, Quantum Brilliance is ready to harness the power of nitrogen vacancies in diamond to create qubits, offering a compact and power-efficient alternative to existing cryogenic quantum systems.

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Andrew Dunn, COO of Quantum Brilliance, shared some interesting insights: "We do have a roadmap to fault tolerance, but we aren’t worrying about that at the moment. People think of millions of qubits, but that will be very expensive and power hungry. I think getting an understanding of having 100 qubits in a car cheaply and simply—the use cases are very different."

This shift in focus reveals a departure from the mainstream trend in quantum computing, which focuses on building systems boasting millions of qubits. Instead, Quantum Brilliance is homing in on cost-effective and practical use cases, particularly in AI inference and sparse data processing.

Quantum Brilliance has already formed partnerships with research institutions such as the Fraunhofer Institute for Applied Solid State Physics (IAF), which is currently testing the company's second-generation Quantum Development Kit, QB-QDK2.0. The kit cleverly integrates classical processors like Nvidia GPUs and CPUs with the QPU in a single box.

In parallel, Oak Ridge National Laboratory in the United States has acquired three systems to explore scalability and parallel processing for applications like molecular modeling.

Quantum Brilliance is also collaborating with imec to integrate diamond processes into standard chip manufacturing, paving the way for a wider market adoption of their diamond-based technology.

Beyond computation, Quantum Brilliance sees potential in quantum sensing, offering new opportunities in defense and industrial applications. Ultimately, the goal is to make quantum computing as commonplace as any ordinary chip in a server.

"Personally, I want to make quantum really boring and invisible, just another chip doing its job," said Dunn.

Stay tuned for more exciting advancements in the world of quantum computing as the race to the future continues!

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The innovative devices being developed by Quantum Brilliance, with the capacity to operate at room temperature, could significantly impact artificial intelligence inference, as they are designed to work alongside high-performance graphics processors (GPUs) and CPUs, much like ordinary chips in servers.
Quantum Brilliance is not only focusing on building quantum systems with millions of qubits, as is typically the case, but also on cost-effective and practical use cases, particularly in AI inference and sparse data processing, with a long-term vision of making quantum computing as commonplace as any ordinary chip.

German innovators aim to manufacture transportable quantum processors employing diamonds, asserting that their Quantum Processing Unit (QPU) will eventually coexist alongside Graphics Processing Unit (GPU) or Central Processing Unit (CPU).