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Nature talks to Peter Shor 25 years after he showed how to make quantum computations feasible — and how they could endanger our data.

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Peter Shor, winner of the 2020 BBVA Foundation Frontiers of Knowledge Award in Basic Sciences.

Applied mathematician Peter Shor worked out how to overcome a major problem in quantum computing.Credit: BBVA FOUNDATION

When physicists first thought up quantum computers in the 1980s, they sounded like a nice theoretical idea, but one probably destined to remain on paper. Then in 1995, 25 years ago this month, applied mathematician Peter Shor published a paper1 that changed that perception.

Shor’s paper showed how quantum computers could overcome a crucial problem. The machines would process information as qubits — quantum versions of ordinary bits that can simultaneously be ‘0’ and ‘1’. But quantum states are notoriously vulnerable to noise, leading to loss of information. His error-correction technique — which detects errors caused by noise — showed how to make quantum information more robust.

Shor, who is now at the Massachusetts Institute of Technology in Cambridge and is also a published poet, had shocked the physics and computer-science worlds the previous year, when he found2 the first potentially useful — but ominous — way to use a hypothetical quantum computer. He’d written an algorithm that would allow a quantum computer to factor integer numbers into prime factors at lightning speed. Most Internet traffic today is secured by encryption techniques based on large prime numbers. Cracking those codes is hard because classical computers are slow at factoring large products.

Quantum computers are now a reality, although they are still too rudimentary to factor numbers of more than two digits. But it is only a matter of time until quantum computers threaten Internet encryption.

Nature caught up with Shor to ask him about the impact of his work — and where Internet security is heading.

Before your factoring algorithm, were quantum computers mostly a theoretical curiosity?

My paper certainly gave people an idea that these machines could do something useful. Computer scientist Daniel Simon, in a precursor of my result, solved a problem that he came up with that shows that quantum computers are exponentially faster [than ordinary computers]. But even after Simon’s algorithm, it wasn’t clear that they could do something useful.

What was the reaction to your announcement of the factoring algorithm?

At first, I had only an intermediate result. I gave a talk about it at Bell Labs [in New Providence, New Jersey, where I was working at the time] on a Tuesday in April 1994. The news spread amazingly fast, and that weekend, computer scientist Umesh Vazirani called me. He said, “I hear you can factor on a quantum computer, tell me how it works.” At that point, I had not actually solved the factoring problem. I don’t know if you know the children’s game ‘telephone’, but somehow in five days, my result had turned into factoring as people were telling each other about it. And in those five days, I had solved factoring as well, so I could tell Umesh how to do it.

All sorts of people were asking me for my paper before I had even finished writing it, so I had to send them an incomplete draft.

But many experts still thought that quantum computers would lose information before you can actually finish your computation?

One of the objections was that in quantum mechanics, if you measure a system, you inevitably disturb it. I showed how to measure the error without measuring the computation — and then you can correct the error and not destroy the computation.

After my 1995 paper on error correction, some of the sceptics were convinced that maybe quantum computing might be doable.

Error correction relies on ‘physical’ and ‘logical’ qubits. What is the difference?

When you write down an algorithm for a quantum computer, you assume that the qubits [the quantum version of a classical bit of information] are noiseless; these noiseless qubits that are described by the algorithm are the logical qubits. We actually don’t have noiseless qubits in our quantum computers, and in fact, if we try to run our algorithm without any kind of noise reduction, an error will almost inevitably occur.

A physical qubit is one of the noisy qubits in our quantum computer. To run our algorithm without making any errors, we need to use the physical qubits to encode logical qubits, using a quantum error-correcting code. The best way we know how to do this has a fairly large overhead, requiring many physical qubits for each logical qubit.

It is quite complicated to work out how many more qubits are needed for the technique. If you want to build a quantum computer using surface code — the best candidate right now — for every logical qubit, you need about 100 physical qubits, maybe more.

In 2019, Google showed that its 54-qubit quantum computer could solve a problem that would take impossibly long on a classical computer — the first demonstration of a ‘quantum advantage’. What was your reaction?

It’s definitely a milestone. It shows that quantum computers can do things better than classical computers — at least, for a very contrived problem. Certainly some publicity was involved on Google’s part. But also they have a very impressive quantum computer. It still needs to be a lot better before it can do anything interesting. There’s also the startup IonQ. It looks like they can build a quantum computer that in some sense is better than Google’s or IBM’s.

When quantum computers can factor large prime numbers, that will enable them to break ‘RSA’ — the ubiquitous Internet encryption system.

Yes, but the first people who break RSA either are going to be NSA [the US National Security Agency] or some other big organization. At first, these computers will be slow. If you have a computer that can only break, say, one RSA key per hour, anything that’s not a high priority or a national-security risk is not going to be broken. The NSA has much more important things to use their quantum computer on than reading your e-mail — they’ll be reading the Chinese ambassador’s e-mail.

Are there cryptography systems that can replace RSA and that will be secure even in the age of quantum computers — the ‘post-quantum encryption’?

I think we have post-quantum cryptosystems that you could replace RSA with. RSA is not the big problem right now. The big problem is that there are other ways to break Internet security, such as badly programmed software, viruses, sending information to some not entirely honest player. I think the only obstruction to replacing RSA with a secure post-quantum cryptosystem will be will-power and programming time. I think it’s something we know how to do; it’s just not clear that we’ll do it in time.

Is there a risk we’ll be caught unprepared?

Yes. There was an enormous amount of effort put into fixing the Year 2000 bug. You’ll need an enormous amount of effort to switch to post-quantum. If we wait around too long, it will be too late.

This interview has been edited for length and clarity.

References

  1. 1.

    Shor, P. W. Phys. Rev. A 52, R2493(R) (1995).

  2. 2.

    Shor, P. W. Proc. 35th Annual Symp. Found. Comp. Sci. 124–134 (1994).

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