Source: Zhitong Finance "Since 1950, the S&P 500 index has risen more than 10% 21 times as of the end of May. In about 90% of these cases, the S&P 500 index rose for the rest of the year. There were only two instances of declines for the rest of the year, in 1987 (-13%) and 1986 (-0.1%)." With the rebound of the stock market, the old adage "Sell in May and Go Away" seems to have been a bad advice once again. Last month, the S&P 500 index rose 4.8%, the best May performance since 2009. The NASDAQ 100 index rose nearly 6.2%, and the NASDAQ Composite Index rose 6.9%. Goldman Sachs FICC & Equities Trading Division said: "History doesn't really support this saying. Don't sell, leave the market (go on vacation), and enjoy the good times." The rising trend is still to be continued? If history is any guide, it may indicate that the rise of the stock market is not over yet. Looking ahead to the rest of 2024, Scott Rubner, Managing Director of the Goldman Sachs Global Markets Division and tactical expert, pointed out the following historical background for investors. Rubner stated that the S&P 500 index has risen 10.7% year-to-date, and since 1950, the S&P 500 index has risen more than 10% 21 times as of the end of May. In about 90% of these cases, the S&P 500 index rose for the rest of the year. There were only two instances of declines for the rest of the year, in 1987 (-13%) and 1986 (-0.1%). "Since 1950, the median return of the last 7 months of each year (June 1 to December 31) is 5.4%. In the aforementioned 21 cases, the average performance of the last 7 months increased to 8.1%." Rubner added. Rubner also pointed out that the NASDAQ index has risen for 16 consecutive Julys, with an average return of about 4.64%.
Author: Rousseau

The chip giant, which holds the most core position in the global layout of generative artificial intelligence, is collaborating with cloud computing and search engine giants. $NVIDIA (NVDA.US)$ , is collaborating with cloud computing and search engine giants, jointly exploring another cutting-edge technology once classified as "science fiction": quantum computing. $Alphabet-A (GOOGL.US)$ Nvidia's unique strong advantages in high-performance computing capacity, parallel architecture design experience, and accelerated software ecosystem in the field of AI GPUs, and the "Eos supercomputer" based on these advantages is fully integrated into the development environment of quantum computing chips, especially in quantum chip simulation, peripheral control hardware design, algorithm verification, and accelerated software tool chain.

According to the latest statement released by the two companies on Monday, the quantum AI division under google will use nvidia's Eos supercomputer to comprehensively accelerate the design of quantum computing hardware components. This collaboration aims to simulate the physical processes required for quantum computing processors to work, helping them overcome some of their significant current limitations.

This cutting-edge computing field aims to leverage quantum mechanics to create quantum computing machine systems that are significantly faster than today's semiconductor-based architecture chip design technology. However, quantum computing is still in its infancy; despite many companies claiming breakthroughs in quantum computing, large-scale commercial projects may take decades to become ready, if they can indeed be realized.

Quantum computing systems exploit the properties of quantum mechanics, such as quantum superposition and quantum entanglement, to provide a new paradigm of computation that theoretically could vastly exceed the computational capabilities of traditional computers in certain specific areas.

nvidia, the world's highest market cap company, believes that its long-standing extreme focus on parallel architecture design experience and robust accelerated software technology platform will help google solve a very challenging problem. As quantum computing processors become more powerful, distinguishing actual information from interference (i.e., noise) becomes increasingly difficult.

"Only when we can scale quantum computing hardware while controlling noise can we develop quantum computers with strong commercial applicability," said Geffrey Vidal, a research scientist from google's quantum AI team. "With nvidia's accelerated computing and experience in parallel design architecture, we are exploring the impact of more powerful quantum chip design architectures on noise."

To achieve this grand goal, nvidia provides a giant computer powered by its highly proficient AI accelerator chip cluster in parallel computing. It will simulate the interactions between various components of quantum systems and their environment. For instance, many quantum chips must be cooled to extremely low temperatures to function properly.

In the past, such high-performance computing clusters were very expensive and time-consuming. Nvidia stated that its system will deliver some routine computing results in a matter of minutes, while previously this could take about a week, and the cost is only a small part of it.

It is reported that Nvidia announced several important achievements at the International High-Performance Computing, Networking, Storage, and Analysis Conference (SC24) held in Atlanta this week, with significant collaboration in the quantum chip field being one of the key areas of achievement.

Nvidia's Eos is one of the world's most advanced supercomputer systems, driven by a large H100 GPU cluster based on the Hopper architecture and an optimized parallel architecture, playing a significant role in the design and development of quantum chips, particularly in accelerating quantum physics simulations, optimizing quantum error correction algorithms, and reducing development costs.

For example, Eos can efficiently simulate the quantum state evolution of multi-bit systems, including superposition, entanglement, and decoherence processes. These simulation processes can help researchers validate design hypotheses of quantum chips and assess the impact of different environmental parameters (such as temperature and noise) on quantum chip performance. Noise is a major issue faced by quantum chips, and Eos can be used to perform large-scale simulations of noisy environments to test and optimize quantum error correction codes. Eos' architecture excels at handling large-scale matrix operations and complex networks, capable of simulating quantum systems of up to dozens of bits, which is an essential function required in quantum chip design.

In addition, the globally highest market cap company, Nvidia, will announce its performance for the third quarter of the 2025 fiscal year, ending in October, after the U.S. stock market closes on Wednesday, which will be Thursday morning Beijing time. Wall Street analysts generally expect this company, which has the highest global market cap, to report continued strong revenue growth due to the explosive demand for AI infrastructure from global enterprises and key government sectors.

Wall Street analysts generally expect that the chip giant's total revenue for the third quarter will grow by 84% year-on-year, reaching $33.28 billion, with net income jumping to $17.45 billion, or 70 cents per share, far exceeding $9.24 billion in the same period last year, which was 37 cents per share. This also means that Nvidia will achieve record revenue and net income for six consecutive quarters. According to projected data from Visible Alpha, Wall Street analysts expect Nvidia's datacenter business total revenue for the third quarter to climb to another historic high of $29.53 billion, following a record high of $26.3 billion in the second quarter.

Editor/Jeffy