NVIDIA Corporation(NVDA.US) expands its territory to the quantum computing field! Joining hands with Alphabet Inc. Class C(GOOGL.US) to jointly create quantum chips.

NVIDIA Corporation, the chip giant at the core of the global surge in generative artificial intelligence, is partnering with cloud computing and search engine giant Alphabet Inc. Class C to explore another cutting-edge technology once deemed science fiction: quantum computing. NVIDIA Corporation's high-performance computing capacity in the AI GPU field, experience in parallel architecture design, and accelerated software ecosystem are unique strengths, and its "Eos supercomputer" based on these strengths is being fully integrated into the development environment of quantum computing chips, particularly in quantum chip simulation, peripheral control hardware design, algorithm validation, and accelerated software tool chains. According to a latest statement released on Monday by both companies, Alphabet Inc. Class C's quantum AI department will use NVIDIA Corporation's "Eos supercomputer" to expedite the design of quantum computing hardware components. The collaboration aims to simulate the physical processes required for the operation of quantum computing processors to help overcome some of their current major limitations. The cutting-edge field of quantum computing aims to create quantum computer systems that outpace today's semiconductor-based chip design technology by leveraging quantum mechanics. However, quantum computing is still in its early stages, and while many companies claim breakthroughs in quantum computing, large-scale commercial projects may take decades to become ready - if they can truly deliver. Quantum computing systems utilize the properties of quantum mechanics, such as quantum superposition and entanglement, to provide a novel computing paradigm that theoretically can greatly surpass the computing capabilities of traditional computers in certain specific fields. NVIDIA Corporation, the world's most valuable company, believes that its long-standing focus on parallel architecture design experience and powerful accelerated software technology platform will help Alphabet Inc. Class C tackle a very challenging problem. As quantum computing processors become increasingly powerful, distinguishing actual information from interference (i.e. noise) becomes increasingly difficult. "Only when we can control noise while expanding the scale of quantum computing hardware can we develop quantum computers with strong commercial applications," said Jifre Vidal, a research scientist from Alphabet Inc. Class C's quantum AI team. "With NVIDIA Corporation's accelerated computing and parallel design architecture experience, we are exploring the impact of increasingly powerful quantum chip design architectures on noise." To achieve this ambitious goal, NVIDIA Corporation is providing a massive computer powered by a cluster of AI accelerator chips that excel in parallel computing. It will simulate the interactions between the components of quantum systems and their environment. For example, many quantum chips must be cooled to very low temperatures to function properly. Traditionally, such high-performance computing clusters were very expensive and time-consuming. NVIDIA Corporation states that its system will deliver some routine calculations in minutes, whereas before it could take around a week, and the cost is only a fraction of that. It is understood that NVIDIA Corporation announced several important achievements at the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC24) held in Atlanta this week, and the collaboration in the quantum chip field with Alphabet Inc. Class C is one of its significant accomplishments. NVIDIA Corporation's Eos is one of the world's most advanced supercomputing systems, driven by a massive H100 GPU cluster based on the Hopper architecture and optimized parallel acceleration computing architecture. It has significant implications in quantum chip design and development, particularly in accelerating quantum physical 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 processes such as superposition, entanglement, and decoherence. These simulation processes can help researchers validate design assumptions of quantum chips and evaluate the impact of different environmental parameters (such as temperature and noise) on quantum chip performance. Noise is a major problem faced by quantum chips, and Eos can be used to simulate noise environments on a large scale, test, and optimize quantum error correction codes. Eos' architecture excels in handling large-scale matrix operations and complex networks, capable of simulating quantum systems with as many as tens of qubits, which are crucial functionalities needed for quantum chip design. Furthermore, the world's most valuable company, NVIDIA Corporation, will release its financial results for the third quarter of fiscal year 2025 ending in October after the US stock market close on Wednesday, which will be early Thursday morning in Beijing. Wall Street analysts widely expect that this global market leader is expected to report a continued sharp increase in revenue, driven by the continued explosive growth in demand for artificial intelligence (AI) infrastructure from global enterprises and core government departments. Wall Street analysts generally expect that the total revenue of this chip giant for the third quarter will increase by 84% year-on-year to $33.28 billion, with net profit soaring to $17.45 billion, or $0.70 per share, significantly higher than the previous year's $9.24 billion, or $0.37 per share. This also means that NVIDIA Corporation will achieve record revenue and profit for the sixth consecutive quarter. According to Visible Alpha's expected data, Wall Street analysts expect the total revenue of NVIDIA Corporation's data center business in the third quarter to reach another historical high of $29.53 billion after hitting a record high of $26.3 billion in the second quarter.