Google Unveils Largest Quantum Computer Yet, But So What?

Google Unveils Largest Quantum Computer Yet, But So What?

Google announced its newest 72-qubit quantum computer, called Bristlecone, at a conference and in a blog post yesterday. That’s a big step over the competition – but how big a deal is it?

Research scientist Marissa Giustina at Google’s Quantum AI Lab in Santa Barbara, California.Photo: Google

Quantum computing, or computing based on the principles of physics’ most head-scratching topic, has entered a new era in which it’s doing things that are classically hard. Some researchers are trying to demonstrate that their quantum computers can solve problems that supercomputers can’t. Google thinks that Bristlecone will be the chip that reaches this “quantum supremacy” milestone.

“We are cautiously optimistic that quantum supremacy can be achieved with Bristlecone,” Google research scientist Julian Kelly wrote in a blog post, “and feel that learning to build and operate devices at this level of performance is an exciting challenge.”

Computers perform calculations using bits, which are physical systems that assume one of two choices. We usually call these choices “zero” and “one”. Qubits, or quantum bits, also have zeroes and ones, but exist and interact with one another based on the rules of quantum mechanics. They take on “zero” and “one” simultaneously with different strengths (technically it’s a linear combination of zero and one with complex constants serving as “probability amplitudes”) while they’re calculating. Performing these calculations require entangling the qubits, essentially making their output reliant on one another, which causes certain combinations of outcomes to become more or less likely.

This new system could have important potential uses in breaking current cryptography strategies or optimising searching in the long term. But in the shorter term, they could potentially be useful for things such as modelling complex molecules better than classical computers, finding optimal solutions to complicated problems, and improving artificial intelligence.

Google has already discussed with Gizmodo how it plans to achieve quantum supremacy. This would be a specifically tailored problem that quantum computers can accomplish that supercomputers are believed not to be able to complete in a reasonable amount of time. “We believe the experimental demonstration of a quantum processor outperforming a supercomputer would be a watershed moment for our field, and remains one of our key objectives,” said Google’s blog post.

Number of qubits is important to quantum computers, of course – the leaders have around 50, and 72 would be the largest yet. But many folks at other organisations have long been pointing out that qubit count isn’t all that matters.

“The name of the game is not just adding more qubits,” Bob Sutor, vice president of Cognitive, Blockchain and Quantum Solutions at IBM Research told Gizmodo and others at a press event last week. “It’s the quality of the qubits that count. Having 50 great qubits is far superior to having 2000 really lousy qubits.” That means that the qubits must stay quantum, and not degrade into regular bits, for a long time.

Google is aware of all these points, of course, and mentions them in the blog post, on which error correction plays a central topic. “Crucially, the processor must also have low error rates on readout and logical operations, such as single and two-qubit gates,” Kelly wrote. But just fabricating the device isn’t everything. They actually need to test the qubits and show results to the scientific community in order to convince scientists.

If Google does achieve quantum supremacy with Bristlecone, that’s just one of many important milestones in quantum computing, and would potentially be a task most useful for benchmarking the computer’s performance. As John Preskill said recently in a paper about the new successfully simulated a 49-qubit quantum computer. Proving quantum supremacy requires verifying that a classical computer can’t do the problem on similar timescales, or that there isn’t a way to do these calculations on classical computers that scientists just haven’t thought of yet.

There are other players in the game, too, using other architectures. IBM’s qubits look a lot like Google’s, but Microsoft, Intel, and startups such as IonQ are pursuing vastly different qubit architectures. Some 50-or-so-qubit, special-purpose quantum simulators that rely on trapped atoms have begun to make useful discoveries in physics.

If the new Bristlecone processor can achieve quantum supremacy, that would be a milestone, perhaps in the way that a baby taking its first steps is a milestone. It’s an exciting sign that the baby will soon have a lot more skills, but it’s not mature yet. And in the case of quantum computing, the baby hasn’t even taken first steps. There’s plenty of work yet to be done.

[via Google Research]

Thanks to Scott Aaronson at UT Austin for helping me fact-check this post.

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