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Home » Engineers build world’s first portable diamond-powered quantum computer — it works at room temperature and can be plugged into an outlet
Engineers build world’s first portable diamond-powered quantum computer — it works at room temperature and can be plugged into an outlet
Science

Engineers build world’s first portable diamond-powered quantum computer — it works at room temperature and can be plugged into an outlet

News RoomBy News RoomAugust 6, 20266 ViewsNo Comments

A German startup has debuted the world’s first diamond-based quantum computing system to exceed 10 qubits.

The machine, built by engineers at Saxon Q, is a nitrogen-vacancy (NV) quantum computer, meaning it uses defects in synthetic diamonds as quantum bits (qubits) to perform quantum operations. Qubits can be manipulated to represent the 0s and 1s of data, as well as quantum states that are superpositions of both the 0s and the 1s.

The hardware is currently available in rack-mounted systems featuring up to 128 qubits, with 512-qubit configurations available for delivery next year. According to the company’s road map, the goal is to scale to 10,000 qubits and beyond after 2030.

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Although the technology existed before this debut, scientists have found it difficult to build systems beyond 10 qubits due to the difficulty of creating nitrogen vacancy qubits.

Although Live Science saw a technical white paper outlining how the technology works, there didn’t appear to be any published research demonstrating a functional quantum computer based on the NV architecture operating with more than 10 qubits before this launch. It’s still unclear exactly how well the firm’s quantum computers stack up against other platforms.


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Quantum mechanics and flawed diamonds

In the 1970s, scientists discovered that certain diamonds shone with a brilliant red light when illuminated in a specific way. Subsequent research determined that the optical shift was caused by annealing radiation damage that attracted isolated substitutional nitrogen atoms. In other words, nature occasionally produces a diamond that has a nitrogen atom where a carbon atom should be.

The unintegrated nitrogen atoms are drawn to the vacancy in the otherwise perfectly ordered carbon atoms inside the diamond. Although these flawed diamonds occur rarely in nature, scientists can create diamonds with nitrogen vacancies in laboratories.

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Functionally, the single nitrogen atoms inside the vacancies act as if they were “trapped,” and their electrons can “spin” independently of the electrons inside the surrounding carbon atoms.

Scientists exploit this “spin” feature by using special lasers to put the nitrogen atom’s electrons in a specific state they measure as “zero.” They can then use microwave pulses to precisely manipulate the electrons into numerous configurations, including quantum states that binary “bits” can’t achieve.

We have a fully functioning quantum computer.

Marius Grundmann, professor of experimental physics at Leipzig University and co-founder of Saxon Q,

Marius Grundmann, a professor of experimental physics at Leipzig University and co-founder of Saxon Q, said the breakthrough that allowed his firm to push past the 10-qubit barrier was a materials discovery.


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When the Saxon Q team creates the vacancy inside its lab-grown diamonds, they co-implant sulfur. Per Grundman, “That’s the key technology point. Because the sulfur lifts the chemical potential to a point that it’s negatively charged. The sulfur supplies the electron; the sulfur also makes the vacancy attached to the nitrogen with a very high yield.”

In other words, by co-implanting sulfur atoms, the Saxon Q researchers can express greater control over the individual qubits. Once the qubits are set with lasers and subjected to microwave pulses, they’re ready for error correction. In a statement, Saxon Q representatives said the qubits achieved a 99.92% fidelity rate — fewer than one error per 1,000 operations — before error correction.

However, Grundmann told Live Science that the latest numbers as of July 22 showed 99.98% fidelity in single-qubit operations. That’s comparable to state-of-the-art error correction results reported by other quantum computing labs, such as those from IBM and MIT, although it wasn’t possible to independently verify the results.

Room-temperature quantum computing

It’s difficult to compare Saxon Q’s diamond-based NV systems with more established quantum computing platforms, such as superconducting qubits. Most recent research on NV systems has focused on quantum sensing applications, though at least one preprint study discusses hybrid NV/superconducting systems.

“We have a fully functioning quantum computer,” Grundmann told Live Science. According to Grundmann, the company’s quantum computers are on a par with those using other modalities. “We have a quantum computer that can execute quantum code that you can reach via the network, and it is a multiuser, multitasking, multicore system,” he said.

If the Saxon Q systems ultimately prove comparable to existing solid-state quantum computing architectures, they’d be among the first generation of room-temperature quantum computers to reach performance similar to systems that require cryogenics and on-site monitoring.

The ease of setup is notable. Saxon Q’s devices can be slotted into a standard computer rack and plugged directly into alternating-current power.

This provides a clear near-term advantage for clients who want to run algorithms on a quantum system without operating through the cloud. Grundmann said this could be especially important in edge computing scenarios, such as autonomous driving or robotics, where cloud communication could produce unacceptable latency.

Research comparing solid-state quantum systems indicates that superconducting quantum computers would typically operate faster than diamond-based NV systems. It’s unclear, however, what the trade-off between processing speed and cloud latency would be or whether it could be addressed through scaling.

The current challenge to scaling diamond-based NV quantum computers beyond the 512-qubit range is the size of the chips. Saxon Q’s current chips are limited to supporting either eight or 16 qubits. For more powerful systems, scientists will need to squeeze hundreds ‪—‬ or even thousands ‪—‬ of qubits onto a single array to support operations requiring hundreds of thousands or millions of qubits.


Can you match these ancient devices to their pictures? Find out with our computing quiz!

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