NVIDIA expands its territory into the field of quantum computing! Partnering with Google to jointly develop quantum chips

According to the Zhitong Finance APP, at the core of the global frenzy for generative artificial intelligence is the chip giant NVIDIA (NVDA.US), which is collaborating with cloud computing and search engine giant Google (GOOGL.US) to explore another cutting-edge technology once categorized as "science fiction": quantum computing. NVIDIA's high-performance computing capacity in the AI GPU field, experience in parallel architecture design, and accelerated software ecosystem are its unique strengths, and the "Eos supercomputer" based on these advantages is being fully integrated into the development environment for quantum computing chips, particularly in areas such as quantum chip simulation, peripheral control hardware design, algorithm validation, and accelerated software toolchains.

According to a recent statement released by the two companies on Monday, Google's quantum artificial intelligence division will use NVIDIA's "Eos supercomputer" to comprehensively accelerate the design of quantum computing hardware components. The collaboration aims to simulate the physical processes required for quantum computing processors to operate, helping them overcome some 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 chip design technologies. However, quantum computing is still in its infancy, and although many companies claim to have made breakthroughs in quantum computing, large-scale commercial projects may take decades to prepare—if they can indeed be realized.

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

NVIDIA, the world's most valuable company, believes that its long-term focus on parallel architecture design experience and strong accelerated software technology platform will help Google tackle a very challenging problem. As quantum computing processors become increasingly powerful, distinguishing actual information from interference (i.e., noise) becomes more difficult.

"Only when we can scale quantum computing hardware while controlling noise can we develop quantum computers with strong commercial applications," said Jeffrey Vidal, a research scientist from Google's quantum artificial intelligence team. "With NVIDIA's accelerated computing and experience in parallel design architecture, we are exploring the impact of increasingly powerful quantum chip design architectures on noise."

To achieve this grand goal, NVIDIA provides a massive computer powered by its AI accelerator chip cluster, which excels in parallel computing. It will simulate how various components of quantum systems interact with their environment. For example, 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 calculation results in minutes, whereas previously this could take about a week, and the cost is only a small fraction of that.

It is reported that NVIDIA announced several important achievements at the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC24) held in Atlanta this week, with the quantum chip field being one of the areas where significant collaboration with Google has been achieved NVIDIA's Eos is one of the most advanced supercomputer systems in the world, driven by a massive H100 GPU cluster based on the Hopper architecture and an optimized parallel acceleration computing architecture. It holds significant importance 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-qubit systems, including superposition, entanglement, and decoherence processes. These simulation processes can help researchers validate the design hypotheses of quantum chips and assess the impact of different environmental parameters (such as temperature and noise) on the performance of quantum chips. Noise is a major issue faced by quantum chips, and Eos can be used for large-scale simulations of noisy environments to test and optimize quantum error correction codes. The architecture of Eos excels at handling large-scale matrix operations and complex networks, capable of simulating quantum systems with up to dozens of qubits, which is an essential function for quantum chip design.

In addition, NVIDIA, the company with the highest market capitalization globally, will announce its third-quarter results for the fiscal year 2025, ending in October, after the U.S. stock market closes on Wednesday, which is Thursday morning Beijing time. Wall Street analysts generally expect that this company, with the highest market capitalization in the world, will report continued explosive revenue growth, driven by the surging demand for artificial intelligence (AI) infrastructure from global enterprises and core government sectors.

Wall Street analysts widely expect that the chip giant's total revenue for the third quarter will increase by 84% year-on-year, reaching $33.28 billion, with net profit soaring to $17.45 billion, or $0.70 per share, far exceeding the $9.24 billion from the same period last year, which was $0.37 per share. This also means that NVIDIA will achieve record revenue and net profit for six consecutive quarters. According to Visible Alpha's expected data, Wall Street analysts anticipate that NVIDIA's data center business total revenue for the third quarter is expected to climb to another historical high of $29.53 billion, following the record high of $26.3 billion set in the second quarter