The new system developed by Google, 'AlphaQubit,' makes it possible to reduce the error rate in quantum computers by up to 30% compared to conventional methods. Significant improvement in error rates is necessary for the practical implementation of quantum computers, and AlphaQubit achieves high-precision error detection and correction by utilizing artificial intelligence.
This technology is applicable to systems ranging from 17 quantum bits to 241 quantum bits, demonstrating flexibility to scale up. This achievement holds the potential to propel future technological innovations through the co-evolution of AI and quantum computers.
Specific technological advancements brought by AlphaQubit to quantum computing.
AlphaQubit is an AI system that significantly improves the accuracy of error detection and correction in quantum computers. Quantum bits have traditionally faced instability due to external factors such as heat and electromagnetic waves, with error rates of 1 in 100 to 1 in 1,000 being common.
This new system utilizes simulation data to learn noise patterns and has mechanisms to address complex issues such as crosstalk and leakage.

While Nvidia's growth rate is showing signs of slowing down, the rapid expansion of the AI market is expected to support the company's long-term growth. Although the company recorded a 112% increase in datacenter sales in the third quarter of fiscal year 2025 compared to the previous year, forecasts of a nearly halved sales growth rate for the following year are impacting investor sentiment.
However, the growth of the AI infrastructure market is becoming an important tailwind for Nvidia. Investment plans by major cloud providers increased by 33.5% compared to the previous year, and it is expected that the AI accelerator market size will reach 500 billion dollars by 2028. Against this backdrop, Nvidia's overwhelming market share and technological innovation superiority are once again attracting attention.
Considering the progress in the development of next-generation products and the acceleration of AI demand, short-term stock price declines may be seen as new investment opportunities.
The leadership of Nvidia in the AI market and its impact on the entire industry.
Nvidia has established overwhelming influence in the AI market. The company's ai chip holds an 80% market share, with the H200 and the next-generation Blackwell platform symbolizing advanced technology that balances performance improvement and cost efficiency. 20...

Against the backdrop of rapid growth in the AI market, Nvidia's corporate value exceeded 3.6 trillion dollars in 2024, and established a position in the technology field. The latest financial results report recorded a 94% increase in sales compared to the same period last year, and growth led by the data center division stands out. However, stock prices have fallen by nearly 10% since financial results were announced, and fluctuations in investor sentiment are visible.
Meanwhile, demand for next-generation AI technology, starting with Blackwell chips, is increasing, and it seems that the company still has plenty of room for growth. While market reactions and expert opinions intersect, it is difficult to predict the future of Nvidia, expectations are placed on the company's potential, which is at the center of the AI revolution.
Nvidia's data center strategy to dominate the AI chip market
The rapid expansion of the data center division can be cited as one of the factors supporting Nvidia's growth. Sales in the same division reached 30.8 billion dollars, up 112% from the same period last year, and demand from the AI revolution directly contributed to business results. The company is at the center of the AI infrastructure market and is in a position to provide computing technology that is the foundation for next-generation AI models.
In particular, generative AI and deep la...