- QPUs can run AI -Inferens faster and cheaper than conventional hardware ever could
- Hybrid nodes that combine CPUs, NVIDIA GPUs and Diamond QPUs could change how we build quantum software
- From defense to financing, Quantum Brilliance is aiming at Diamond Chips to operate adoption
Diamonds have emerged as a critical material in the development of quantum technologies due to their unique nuclear properties, and Quantum Brilliance, a company with base in Germany and Australia, has outlined an ambitious plan to develop portable quantum computers using diamond -based quantum treatment units (QPUs).
These devices are designed to work at room temperature and can eventually be integrated with GPUs and advanced CPUs in servers or vehicles.
But while the company’s vision promises a future where quantum calculation is as seamless as connecting a GPU to AI inferences, several technical and commercial obstacles remain.
Rethinking Quantum Computing with Diamonds
Over the past decade, researchers have increasingly focused on technical diamonds with high purity to minimize interference from impurities.
In particular, a 2022 collaboration between a Japanese jewelry company and academic researchers led to a new method for the production of Ultra-Pure 2-inch diamond discs.
In 2023, Amazon took up efforts through his Center for Quantum Networking, the collaboration with De Beers’ Element Six to cultivate LAB-made diamonds for use in quantum communication systems.
Now Quantum Brilliance is aiming to use nitrogen-vacant positions in Diamond to create Qubits, offering a more compact and effective alternative to cryogenic quantum systems.
“We have a roadmap for fault tolerance, but we don’t worry at the moment,” said Andrew Dunn, COO for Quantum Brilliance.
“People are thinking of millions of Qubits, but it will be very expensive and power hungry. I think to get an understanding of having 100 quubits in a car cheap and simply – the use cases are very different.”
This signalizes a departure from the prevailing trend in quantum calculation that focuses on building systems with millions of Qubits.
Instead, the company is targeted at cheap and practical use cases, especially in applications such as AI inferences and sparse data processing.
Quantum Brilliance is already working with research institutions such as the Fraunhofer Institute for Applied Solid State Physics (IAF).
IAF is currently assessing the company’s second generation of quantum development kit, QB-QDK2.0, which integrates classic processors such as NVIDIA GPUs and CPUs with QPU in a single box.
In parallel, Oak Ridge National Laboratory in the United States has acquired three systems to study scalability and parallel treatment for applications such as molecular modeling.
“The reason they buy three systems is that they want to explore the parallelization of systems,” Dunn added.
Quantum Brilliance also works closely with IMEC to integrate diamond processes into standard chip making.
In addition to calculation, the company sees the potential of quantum feelings, and the technology can also be reused for defense and industrial sensors.
Ultimately, the company wants quantum competence to become as common as any other chip on a server.
“Personally, I want to make the quantity really boring and invisible, just another chip that does his job,” Dunn said.
Via Eenewseurope
