Google on Monday showed off a new quantum computing chip that it said was a breakthrough that could bring practical quantum computing closer to reality.
A custom chip called “Willow” does in minutes what it would take leading supercomputers 10 septillion years to complete, Google Quantum AI (artificial intelligence) founder Hartmut Neven said.
“Written out, there is a 1 with 25 zeros,” Neven said of the time span while briefing journalists.
Photo: AFP via Google
“A mind-boggling number,” Neven added.
Neven’s team of about 300 people at Google is on a mission to build quantum computing capable of handling otherwise unsolvable problems like safe fusion power and stopping climate change.
“We see Willow as an important step in our journey to build a useful quantum computer with practical applications in areas like drug discovery, fusion energy, battery design and more,” Google CEO Sundar Pichai said on X.
A quantum computer that can tackle these challenges is still years away, but Willow marks a significant step in that direction, Google said.
While still in its early stages, scientists believe that superfast quantum computing would eventually be able to power innovation in a range of fields.
Quantum research is seen as a critical field and the US and China have been investing heavily in the area, while Washington has also placed restrictions on the export of the sensitive technology.
Private and public investment in the field has totaled about US$20 billion worldwide over the past five years, Olivier Ezratty, an independent expert in quantum technologies, said in October.
Regular computers function in binary fashion: They carry out tasks using tiny fragments of data known as bits that are only ever either expressed as 1 or 0.
However, fragments of data on a quantum computer, known as qubits, can be 1 and 0 at the same time — allowing them to crunch an enormous number of potential outcomes simultaneously.
Crucially, Google’s chip demonstrated the ability to reduce computational errors exponentially as it scales up — a feat that has eluded researchers for about 30 years.
The breakthrough in error correction, published in leading science journal Nature, showed that adding more qubits to the system reduced errors rather than increasing them — a fundamental requirement for building practical quantum computers.
Error correction is the “end game” in quantum computing and Google is “confidently progressing” along the path, Google quantum hardware director Julian Kelly said.
Nvidia Corp’s demand for advanced packaging from Taiwan Semiconductor Manufacturing Co (TSMC, 台積電) remains strong though the kind of technology it needs is changing, Nvidia CEO Jensen Huang (黃仁勳) said yesterday, after he was asked whether the company was cutting orders. Nvidia’s most advanced artificial intelligence (AI) chip, Blackwell, consists of multiple chips glued together using a complex chip-on-wafer-on-substrate (CoWoS) advanced packaging technology offered by TSMC, Nvidia’s main contract chipmaker. “As we move into Blackwell, we will use largely CoWoS-L. Of course, we’re still manufacturing Hopper, and Hopper will use CowoS-S. We will also transition the CoWoS-S capacity to CoWos-L,” Huang said
Nvidia Corp CEO Jensen Huang (黃仁勳) is expected to miss the inauguration of US president-elect Donald Trump on Monday, bucking a trend among high-profile US technology leaders. Huang is visiting East Asia this week, as he typically does around the time of the Lunar New Year, a person familiar with the situation said. He has never previously attended a US presidential inauguration, said the person, who asked not to be identified, because the plans have not been announced. That makes Nvidia an exception among the most valuable technology companies, most of which are sending cofounders or CEOs to the event. That includes
INDUSTRY LEADER: TSMC aims to continue outperforming the industry’s growth and makes 2025 another strong growth year, chairman and CEO C.C. Wei says Taiwan Semiconductor Manufacturing Co (TSMC, 台積電), a major chip supplier to Nvidia Corp and Apple Inc, yesterday said it aims to grow revenue by about 25 percent this year, driven by robust demand for artificial intelligence (AI) chips. That means TSMC would continue to outpace the foundry industry’s 10 percent annual growth this year based on the chipmaker’s estimate. The chipmaker expects revenue from AI-related chips to double this year, extending a three-fold increase last year. The growth would quicken over the next five years at a compound annual growth rate of 45 percent, fueled by strong demand for the high-performance computing
TARIFF TRADE-OFF: Machinery exports to China dropped after Beijing ended its tariff reductions in June, while potential new tariffs fueled ‘front-loaded’ orders to the US The nation’s machinery exports to the US amounted to US$7.19 billion last year, surpassing the US$6.86 billion to China to become the largest export destination for the local machinery industry, the Taiwan Association of Machinery Industry (TAMI, 台灣機械公會) said in a report on Jan. 10. It came as some manufacturers brought forward or “front-loaded” US-bound shipments as required by customers ahead of potential tariffs imposed by the new US administration, the association said. During his campaign, US president-elect Donald Trump threatened tariffs of as high as 60 percent on Chinese goods and 10 percent to 20 percent on imports from other countries.