Google (GOOGL.US) achieves major breakthrough in quantum computing! Key error rates reduced by about 40 times, moving closer to practical application
Google, a subsidiary of Alphabet, announced that it has demonstrated a new technology which reduces the error rate of a key aspect of quantum computing by about 40 times. This marks progress toward building powerful and reliable machines capable of solving problems beyond the reach of traditional computers.
According to Zhitong Finance APP, Google, a subsidiary of Alphabet (GOOGL.US), announced that it has demonstrated a new technology capable of reducing the error rate of a critical quantum computing process by approximately 40 times, marking progress toward building machines strong enough, reliable enough, and capable of solving problems beyond the reach of classical computers.
Researchers Emma Rosenfeld and Craig Gidney stated in a Google Quantum AI blog post that a study published on October 15 in the scientific journal Science shows that a process called "magic state cultivation" can operate on Google's Willow quantum processor. This technology achieved a record-breaking accuracy rate of 99.99% on the special quantum states necessary for performing certain advanced computations.
This breakthrough addresses a major obstacle in commercial quantum computing: the enormous hardware needed for error prevention. Quantum computers use qubits, which represent and process information in ways traditional computer bits cannot. However, qubits are extremely sensitive to interference, and reliable computation is hard to achieve without substantial error correction.
Why "magic states" are crucial
One particularly expensive step in error correction involves preparing so-called "magic states." These are specially prepared quantum states that enable certain operations required for fully-fledged quantum computers. Unlike conventional computational resources, magic states are consumed during use and must be continually replenished.
Google noted that earlier estimates suggested that preparing these states could consume up to 95% of a quantum computer’s computational power, leaving only a small portion for useful computation. Reducing this burden could allow future quantum computers to be significantly smaller and cheaper to operate.
Google's cultivation technique addresses this issue by starting from an imperfect quantum state and repeatedly checking it for errors. Attempts that fail the checks are discarded, allowing the system to generate much more reliable states. On the Google Willow processor, this method reduced errors by about 40 times compared to uncultivated states.
Engineering Challenges and Breakthroughs
The research also required Google to overcome issues with how quantum errors are measured. The team found that electrical fluctuations and temperature changes distorted their testing methods, at first producing results seemingly inconsistent with established physics. The researchers then modified hardware controls and developed a new method to measure the accuracy of their technique.
Another achievement was transferring improved quantum states between two different error correction systems—color codes and surface codes. These systems are alternative methods for protecting quantum information against errors. Proving that these states can survive the transfer demonstrates that the cultivation technique could eventually be integrated into larger quantum computing systems.
For Alphabet investors, these findings signal progress in overcoming both the technical and economic barriers to commercial quantum computing. More efficient error correction could ultimately reduce the number of physical qubits required for useful computation, potentially lowering the cost and complexity of building commercially viable machines. Quantum computers could eventually be applied to materials science, chemistry, and other fields where calculations are dauntingly difficult for classical computers.
However, these results do not mean that Google has developed a commercially practical quantum computer. The company acknowledges that the technique still needs to be validated at larger scales, and significant engineering challenges remain. The 40-fold improvement specifically pertains to magic state preparation, not to the overall performance or error rate of the processor as a whole.
This research reinforces Google’s position in the race to develop fault-tolerant quantum computing. Fault-tolerant quantum computing refers to machines that can perform long and complex computations despite the presence of errors in underlying hardware.
Although this achievement could eventually improve the economics of quantum computing, Google has not yet provided a commercialization timeline or quantified any potential revenue impact. For investors, its direct significance lies in technological progress, rather than in Alphabet’s short-term profitability.
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
You may also like
When France and Germany pay for their deficits, fiscal discipline becomes the "moat" of the UK bond market; investors are positioning in advance for a rebound in gilt bonds.
Investors are betting that the new UK Chancellor, Healey, will uphold fiscal discipline and are purchasing gilts in advance. A smooth and steady budget plan is expected to turn the UK from a "risk" in the bond market into a "positive."
Anthropic's $2 Trillion IPO Faces Doubts: Risks of Mismatched Computing Commitments and Revenue
The independent institution New Constructs reported that the Anthropic IPO is absurd, with a valuation of only 150 billion. The main controversy lies in the mismatch between long-term computing power commitments and clients' short-term on-demand procurement models, coupled with macroeconomic headwinds and early investor sell-off pressure, leading to increased market volatility.

Anthropic allocates 5% of shares to set up a fund before IPO, Musk calls for direct distribution to the public
Anthropic announced the establishment of a public welfare fund, initially allocating 5% of its shares. When the company's valuation increases by 50%, another 2% will be added. The aim is to address the impact of AI on employment. Musk suggested directly distributing shares to the public.

AI Stocks Struggle to Rebound: Lacking Three Major Supports, July’s Rally Hard to Replicate
JPMorgan pointed out that due to the absence of ETF bargain-hunting funds, limited room for short covering, and the early termination of the $40 billion buyback by Samsung and SK Hynix, the rebound strength of AI stocks in October may not match that of July. The resurgence of leverage risk could intensify volatility.

