Google Claims To Solve Quantum Computing Challenges With New Chip "Willow"

JAKARTA Google announced a new breakthrough in the world of quantum computing by introducing its newest generation of chips named "Willow". This chip manages to solve the computing problem within five minutes, which estimates will take longer than the history of the universe if it uses conventional computers.

Chipmenganya punya 105 "qubit", unit dasar dalam computing quanta. Meski qubit terkenal sangat cepat, mereka juga rawan terkenang terhadap kesalahan karena dapat terganggu oleh unparticle subatomic dari ruangan angkasa. Oleh sebab itu, sejak tahun 1990-an, ilmuwan terus berupaya mengembangkan teknik penyalikiran kesalahan kesum.

In a paper published in the journal Nature on Monday 9 December, Google stated that they had found a way to connect qubits on fire chips so that the error rate actually decreased as the number of qubits increased. In addition, Google claims to be able to correct these errors in real-time, an important step towards the practical use of quantum computers.

"We have passed the critical point," Hartmut Neven, leader of Google's Quantum AI unit, said in an interview.

This valid chip is produced in a special facility built by Google itself, in contrast to previous chips made at a joint facility at the University of California, Santa Barbara. According to Anthony Megrant, chief architect of Google Quantum AI, this new facility allows Google to accelerate the development of new chips.

"If we have a good idea, we want team members to be able to test it right away in the clean and cryptostat room as soon as possible so we can learn more," Megrant said.

Although some Google competitors have produced more chips with qubit numbers, Google is more focused on making the most reliable qubits. In the latest claims, Google also mentions that even with ideal assumptions, classic computers will take a billion years to achieve the same results aschips.

With this progress, Google hopes that quantum computers one day can be used to resolve major challenges in the medical, chemical, and artificial intelligence fields that are currently impossible with conventional computers.