The compass project · quantum

There’s a Quantum Compass in a Bird’s Eye. We Asked if a Quantum Computer Can Compute It Yet.

We ran the animal magnetic compass on IBM’s quantum hardware and measured, honestly, where a quantum computer helps and where it does not yet. A laptop still wins, and we calculated the year that flips.

Birds cross oceans without a map. Sea turtles return to the exact beach where they hatched. Young eels ride currents thousands of miles to a home they have never seen. For a century nobody could explain how, and the best current answer is stranger than the mystery. These animals may see Earth’s magnetic field using quantum physics happening inside their eyes.

The idea goes like this. Light hits a protein called cryptochrome in the retina and knocks an electron loose, leaving two unpaired electrons on neighboring molecules. Those two electron spins start out quantum-correlated, flipping between states billions of times a second. Earth’s magnetic field, about a hundred times weaker than a kitchen magnet, nudges that flipping. The chemical outcome depends on which way the animal’s head is pointing relative to the field. A compass, made of quantum mechanics, wired to the visual system.

That is a beautiful story, and it happens to be a physics problem. Two electron spins, a handful of magnetic atomic nuclei, and a weak field. So here is a fun question. We now have real quantum computers you can rent by the minute. Can a quantum computer compute the compass in a bird’s eye?

We ran it on IBM’s quantum hardware. But the interesting part was not running it. It was asking the honest question underneath, the one most quantum-computing headlines skip. Does a quantum computer actually help here, or is it a magic trick? Three things came out of it, and they are not what the hype would predict.

One: a laptop already wins

The version of the compass that fits on today’s quantum computers is small enough that an ordinary laptop solves it exactly, in a fraction of a second. We pushed the classical methods as far as they go and found they keep working much further than people assume. Running the small version on a quantum computer proves the machine works. It does not teach you any new biology. A lot of "we did X on a quantum computer" results are really "we reproduced, on an expensive noisy machine, something a cheap reliable one already does." We wanted to be honest about which kind this was.

Two: the shortcut everyone uses is about twice off

When the system gets too big for the exact method, chemists reach for a famous approximation from the 1970s that treats the nuclei as a random blur. It is fast, and it is everywhere in the literature. We checked it against the exact answer. It overshoots the magnetic effect by roughly a factor of two in the realistic case, and by much more when one nucleus dominates. That is a real, standalone result. Some published numbers that lean on the shortcut are probably inflated.

Three: today’s quantum computers are too noisy, and we can say exactly why

We built the quantum circuit correctly. On a perfect simulator it nails the exact answer. Then we turned on realistic hardware noise, and the signal did not just degrade. It vanished, completely, at the second step up in size. The reason is elegant once you see it. The compass signal is a difference. You compare the chemistry with the magnetic field on versus off, and the small gap between them is the whole story. Hardware noise scrambles both cases by about the same amount, because the noise does not care about the magnetic field. So when you subtract, the noise cancels and takes the real signal with it. The machine is not lying to you. It is just deaf to the exact thing you are trying to hear.

You can fight this with error-correction tricks, and we did. It rescued only the simplest, strongest case, and only barely. Grow the system by one atom and it is gone again.

So when will a quantum computer actually help?

We did the arithmetic for the full, real molecule, the version no classical computer can ever finish. It needs about 29 perfect logical qubits and hundreds of millions of careful operations, which in practice means tens of thousands of physical qubits with error correction wrapped around them. That is not a 2026 machine. It is the kind of fault-tolerant quantum computer the roadmaps point at for roughly the end of this decade.

So the honest headline is not "quantum computer solves biology." It is "quantum computers cannot do this useful biology yet, here is precisely why, and here is the year to watch." In a field drowning in quantum hype, that felt like the more valuable thing to publish. We measured the limit instead of dancing around it.

Why we care about the compass in the first place

This connects to our work on how animals navigated through Earth’s magnetic past. The field is not steady. It wanders, weakens, and occasionally nearly collapses. About 41,000 years ago, during an event called the Laschamp excursion, it dropped to a small fraction of its strength. If migratory animals really do steer by a quantum compass, a near-collapse of the field is a navigation crisis. On the quantum hardware we watched exactly that. As we dialed the field down toward Laschamp levels, the compass signal faded and switched off.

A quantum compass, in a living eye, going dark as the planet’s field collapses, computed on a quantum computer. The wonder is real. The honesty about what the machine can and cannot do yet is the part we are proud of.