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AMD Plans to Take a Stake in Quantum Computing Company PsiQuantum, Will Expand Cooperation and Jointly Develop Infrastructure
IT Home, November 12 news: According to Reuters, AMD and quantum computing company PsiQuantum announced today (the 12th) that they will expand their cooperation to jointly develop the infrastructure needed for practical-level quantum computers. AMD also plans to take a stake in PsiQuantum.
As enterprises and governments seek to use quantum computers to solve complex scientific research and business problems that traditional computers struggle to handle, the quantum computing field is attracting more and more investors.
Technological breakthroughs in recent years have also further boosted confidence in the application prospects of quantum computing, with potential application areas including drug discovery, financial modeling, and cryptography.
The U.S. Department of Commerce announced in May this year that it planned to invest $2 billion (IT Home note: approximately RMB 13.372 billion at the current exchange rate) under the CHIPS Act to acquire minority stakes in 9 quantum computing companies, including a $100 million (approximately RMB 669 million at the current exchange rate) deal with PsiQuantum.
Under the new agreement, AMD will jointly design quantum computing infrastructure with PsiQuantum and develop applications that integrate quantum computing, high-performance computing, and AI technologies. The two sides have not yet disclosed the specific amount of AMD's investment.
AMD will provide CPUs, GPUs, adaptive computing technology, and software for the cooperative projects, while PsiQuantum will provide a silicon photonics technology platform that combines traditional computing chip technology with optical network technology that transmits data through light pulses.
The two sides disclosed that PsiQuantum's drug discovery technology has already been running on AMD hardware, achieving more accurate results than existing methods. PsiQuantum's technical process, combined with AMD's ability to use GPUs for large-scale simulation, has achieved preliminary breakthroughs in covalent inhibitor simulation. It is reported that covalent inhibitors are of great significance in oncology drug development.
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