- Qpus can execute an inference of faster and cheaper than conventional hardware could
- The hybrid nodes that combine CPUs, GPU NVIDIA and Diamond QPU could change the way we build quantum software
- From defense to finance, quantum brilliance is betting on diamond chips to boost adoption
Diamonds have emerged as a critical material in the development of quantum technologies due to their unique atomic properties, and Quantum Brilliance, a company based in Germany and Australia, has outlined an ambitious plan to develop portable quantum computers using quantum processing units based on diamonds (QPU).
These devices are being designed to operate at room temperature and can eventually be integrated together with high -end GPU and CPU on servers or vehicles.
But while the company’s vision promises a future in which quantum computing is as perfect as connecting a GPU for AI inference, several technical and commercial obstacles remain.
Rethink quantum computing with diamonds
During the last decade, researchers have focused more and more on high purity synthetic diamond engineering to minimize impurities interference.
In particular, a 2022 collaboration between a Japanese jewelry firm and academic researchers led to a new method to produce 2 -inch diamond wafers.
In 2023, Amazon joined the effort through its quantum network center, associating with the Beers Six element to cultivate diamonds made in the laboratory for use in quantum communication systems.
Now, the quantum brilliance aims to use nitrogen vacancies in the diamond to create qubits, offering a more compact and efficient alternative to cryogenic quantum systems.
“We have a road map for fault tolerance, but we don’t care about it at this time,” said Andrew Dunn, director of quantum brilliance.
“People think of millions of qubits, but that will be very expensive and with energy hungry. I think that understanding the 100 qubits in a low -price car and simply, the cases of use are very different.”
This indicates a deviation from the prevailing trend in quantum computing, which focuses on the construction of systems with millions of qubits.
On the other hand, the company is aimed at economic and practical cases, particularly in applications such as AI inference and dispersed data processing.
Quantum Brilliance is already collaborating with research institutions such as the Fraunhofer Institute for Applied Solid State Physics (IAF).
Currently, IAF is evaluating the company’s second generation quantum development kit, QB-QDK2.0, which integrates classic processors such as GPUs and NVIDIA CPUs with the QPU in a single box.
At the same time, the Oak Ridge National Laboratory in the United States has acquired three systems to study scalability and parallel processing for applications such as molecular modeling.
“The reason why they are buying three systems is that they want to investigate the parallel of the systems,” Dunn added.
Quantum Brilliance is also working closely with IMEC to integrate diamond processes in the manufacture of standard chips.
Beyond the calculation, the company sees potential in quantum detection, and technology can also be reused for defense and industrial sensors.
Ultimately, the company wants quantum computing to become as ordinary as any other chip on a server.
“Personally, I want Quantum to be really boring and invisible, just another chip that does his job,” Dunn said.
Through Eenewseurope
