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Single Atom Acts as a Quantum Computer and Simulates Molecules

A quantum computer has used a single atom to model the complex dynamics of organic molecules interacting with light

Artist's impression of the trapped ion-quantum computer at the University of Sydney used in this experiment.

A view inside the trapped-ion quantum computer that carried out a first-of-its-kind simulation of molecular chemistry.

The University of Sydney/Sciencebrush.design

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A single atom has performed the first full quantum simulations of how certain molecules react to light. The researchers who carried out the feat say that their minimalistic approach could dramatically speed the path towards a ‘quantum advantage’ — when quantum computers will be able to predict the behaviour of chemicals or materials in ways that are beyond the reach of ordinary computers.

“The key advantage of this approach is that it is incredibly hardware-efficient,” says Ting Rei Tan, an experimental quantum physicist at the University of Sydney. The single atom can encode the information that is normally spread across a dozen or so ‘qubits’, the computational units used in most quantum computers. The findings were published on 14 May in the Journal of the American Chemical Society.

No quantum computer had simulated this level of complexity in the energy levels of molecules before, says Alán Aspuru-Guzik, a computational chemist at the University of Toronto in Canada. “This is a tour-de-force that will remain in the history books.”


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Excited electrons

Tan and his colleagues simulated the behaviour of three different organic molecules, allene, butatriene and pyrazine, when they are hit with an energetic particle called a photon. When this happens, it triggers a cascade of events in the molecule that affects both how its atoms move with respect to each other — vibrating like balls connected by springs — and how its electrons jump to higher-energy, or excited, states. Understanding the precise sequence of these events can help chemists to design molecules that channel energy in the most useful or efficient way, for example in solar panels or in sunscreen lotion.

The researchers found a way to encode these different parameters into a single ytterbium ion trapped in a vacuum using pulsating electric fields: the excitations of the molecule’s electrons corresponded to similar excitations in one of the ion’s electrons, and two different vibrational modes were represented by the ion wiggling inside its trap in two different directions. The team also nudged the ion with laser pulses to tailor how all of the states interacted with one another. This forced the ion to evolve over time, meaning it could mimic how the corresponding molecules act after being hit by a photon.

The team then read off the state of the virtual molecules at a sequence of different stages by measuring the changing probability that the ion’s electron was in an excited state over time.

The results matched what was known about these three molecules, which validates the approach, Tan says. Allene, butatriene and pyrazine are still simple enough to be studied with ordinary computer simulations, but these run out of steam when they have to embody 20 or so vibrational modes, which is not uncommon for more complex molecules.

Kenneth Brown, a quantum engineer at Duke University in Durham, North Carolina, calls the study “great work”, and says that it’s the first time that researchers have shown how to tune such a technique to mimic the properties of specific molecules.

Simulating the chemistry of molecules and materials is often described as one of the most promising uses for quantum computers — but one that will produce useful results only once the machines have scaled up to many millions of qubits. Tan and his collaborators predict that with their approach, a quantum computer could be able to do useful simulations using only a few dozen ions.

This article is reproduced with permission and was first published on May 16, 2025.

Davide Castelvecchi is a staff reporter at Nature who has been obsessed with quantum spin for essentially his entire life. Follow him on X @dcastelvecchi

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