Researchers have demonstrated a breakthrough method for preventing errors in light-powered quantum computers before they even occur.

The milestone, which was achieved using a new technique called photon distillation, means physicists are one step closer to developing light-based “photonic” quantum computers capable of achieving quantum advantage over classical supercomputers.

The research tackles what is arguably the biggest hurdle in the path to developing fault-tolerant universal quantum computers, the presence of noisy errors that can cause computations to fail.

Unlike superconducting quantum computers, which leverage electronic circuits to create qubits — the quantum equivalent of computer bits — photonic quantum computers are powered by light. Scientists shoot beams of photons (units of light) through specifically engineered fields of mirrors and beam splitters. The photons themselves are then manipulated into complex quantum states that allow computations to be performed.

One of the key benefits of this quantum computing paradigm is that it works at room temperature. The underlying reason this is possible is also the culprit behind photonic quantum computing's biggest problem: photonic quantum computers can operate without generating much excess heat because light is in constant motion. This motion allows computations to occur through the interactions between photons as they move. But it also produces significantly more errors.

The fault tolerance problem

Superconducting quantum computers have to energize circuits to create qubits ‪—‬ a process that generates heat. Although photons don't suffer from this problem, there's a trade-off: photonic quantum computers are very brittle. Photons are, by their very nature, imperfect, which means there's typically a significant percentage of "bad" photons bouncing around that can ruin a given computation.

"Because photons are moving at the speed of light, you have qubits that are constantly moving through the system," Jelmer Renema, chief scientist and co-founder of QuiX Quantum, told Live Science. "And the way that computations work is by interactions between these photons when they encounter each other on the chip."

"Errors occur when one of the photons doesn't play nice," Renema said. "Every once in a while, there's sort of a maverick photon that decides to not play by the rules of the other photons."

This "rogue" photon will work its way through the system without ever interacting with the other photons, producing a distinct error. Because this happens before the photon is even turned into a qubit for processing, this problem is difficult to address through conventional quantum error correction, which typically involves techniques to address qubit errors after they've occurred.

Using a technique called quantum photonic distillation, QuiX employed error mitigation to tackle the root cause of these errors before they could happen.

"You set up the interference in such a way that the probability that your rogue photon makes it to the output … is lower than the probability that the photons that are playing nice make it to that output," Renema said.

This probability lies at the heart of photonic quantum computing. As Renema put it, "Everything in photonics is probabilistic." When researchers shoot beams of photons through a series of mirrors and beam splitters, there's a certain probability that each photon will do what it wants, and if nothing is done to mitigate errors, they're essentially relying on luck to produce viable computations.

The odds of success get even worse for each photon as engineers add more quantum computing gates to the system.

Below the threshold

With a superconducting quantum computer, you can add "logical" qubits to perform fault tolerance on physical qubits to compensate for errors. These are collections of physical qubits that share the same data, so that if one or more qubits fail, the data is available elsewhere in the cluster and calculations are not disrupted. But with quantum computing, adding overhead tends to produce more errors than it fixes.

Photonic distillation also exhibits "below threshold error mitigation" — a metric the study authors used to indicate that their technique reduces the number of errors that occur as the system scales, as opposed to adding more, which is normally the case as you make a quantum computer bigger, the QuiX scientists wrote in the study.

Similar fault tolerance milestones have been achieved in superconducting and neutral-atom quantum computers. Google achieved below-threshold error correction in its Willow quantum processing unit (QPU) in December 2024, for example. But the new study represents the first time this has been achieved in light-powered systems.

"The amount of qubits that you need to expend in order to make a single good qubit is so enormous that the cost of the computer just blows up enormously," Renema said. "So there's this trade-off."

Photonic distillation sends imperfect photons through a specialized optical circuit that uses "quantum interference" — a strange feature of quantum mechanics wherein the probability amplitudes of quantum states combine — to filter out physical inconsistencies and output a single, high-quality photon. All of this happens before the photons are turned into qubits.

These high-quality photons are then sent through the system with a much lower probability of going rogue. This quality increase provides a net gain in error correction even when taking into account all the errors introduced when the photons are used as qubits.

Because photonic computers are probabilistic, this experimental work demonstrates a scalable approach to error mitigation that should provide below-threshold performance at scales great enough to produce useful quantum computations, the study authors said.

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Tristan is a U.S-based science and technology journalist. He covers artificial intelligence (AI), theoretical physics, and cutting-edge technology stories.

His work has been published in numerous outlets including Mother Jones, The Stack, The Next Web, and Undark Magazine.

Prior to journalism, Tristan served in the US Navy for 10 years as a programmer and engineer. When he isn’t writing, he enjoys gaming with his wife and studying military history.