Digital Economy

Willow, the Google chip paving the way for quantum computing, is born

Sergio Boixo (Quantum Artificial Intelligence Lab) talks: within two to three years we aim to make a logical Qubit, i.e. a 'quantum transistor'.

by Luca Tremolada

3' min read

3' min read

After proclaiming quantum supremacy in 2019, Google presented Willow, a quantum chip architecture that promises to pave the way for the construction of large-scale quantum computers. As Principal Scientist of Google's Quantum Artificial Intelligence Lab Sergio Boixo explained, thanks to this new step forward in the 30-year-long quantum computer race, for the first time we have managed to reduce errors exponentially as more qubits, i.e. the units of computation in quantum computers, are used. In our experiment published in the journal Nature 'we managed to perform in less than 5 minutes a standard benchmark calculation that would now take Frontier, the world's second fastest supercomputer, 10 septillion years, a number that far exceeds the age of the Universe'.

If you want to write it down, it's 10,000,000,000,000,000 years. Let's try to better understand the scope of this discovery, which after years of announcements and promises could make the race for the greatest technological promise of computational computing finally accelerate.

Loading...

Because it is an important discovery.

Google's latest quantum processor, Willow, was manufactured in its new state-of-the-art fabrication facility in Santa Barbara, one of the few in the world built from scratch for this purpose.

Technically, the team used a 101-qubit quantum processor. going from a grid of 3x3 encoded qubits, to a 5x5 grid, to a 7x7 grid - and each time, using our latest advances in quantum error correction, they were able to halve the error rate. In other words, they achieved an exponential reduction in the error rate."

'Errors,' explained Sergio Boixo, who has joined the Quantum Artificial Intelligence Lab led by Hartmut Neven practically since its inception in 2013, 'are one of the biggest challenges in quantum computing, as qubits, the units of computation in quantum computers, have a tendency to rapidly exchange information with their environment, making it difficult to protect the information needed to complete a calculation. In general, the more qubits you use, the more errors grow'. Quantum error correction (QEC) is therefore an essential technique for protecting quantum information from noise, but its effectiveness depends on being able to achieve error rates below a certain threshold. 'We have been able to reduce errors by increasing the number of qubits,' Boxio notes, 'and it has been an exceptional challenge since quantum error correction was introduced by Peter Shor in 1995. This gives us strong confidence that we can build a large-scale quantum computer that is not troubled by errors."

What happens now and what are the next steps

.

"If the question is when will the first quantum computer be ready, then I immediately say that we are not there yet," smiles the scientist. "We have passed the threshold of error correction, but we do not yet have the error-tolerant computer. However, we now have two goals in front of us. The first is to work on building this computer. And to do that, the next step is to work on a logic Qubit, i.e. a quantum transistor. And we aim to get there in 2-3 years' time.

What Google has launched today is a signal that tells us how useful and very large quantum computers can actually be built. Willow, said Google Quantum Lab director Hartmut Neven, in a note "brings us closer to performing practical and commercially relevant algorithms that cannot be replicated on conventional computers".

Scientists now face the challenge of scaling the technology to thousands or even millions of qubits, while keeping error rates low. For now we know not only that 'it can be done' but that the ultimate goal of achieving a concrete form of quantum computing is closer.

Copyright reserved ©
  • Luca Tremolada

    Luca TremoladaGiornalista

    Luogo: Milano via Monte Rosa 91

    Lingue parlate: Inglese, Francese

    Argomenti: Tecnologia, scienza, finanza, startup, dati

    Premi: Premio Gabriele Lanfredini sull’informazione; Premio giornalistico State Street, categoria "Innovation"; DStars 2019, categoria journalism

Loading...

Brand connect

Loading...

Newsletter

Notizie e approfondimenti sugli avvenimenti politici, economici e finanziari.

Iscriviti