Recently, NVIDIA released the NVQLink interconnect technology, which connects QPUs (quantum processing units) with GPUs. This technology has gained support from 17 quantum computing companies, 5 controller manufacturers, and 9 U.S. national laboratories, and will accelerate quantum error correction and hybrid simulation processes. At the same time, NVIDIA announced a collaboration with the U.S. Department of Energy to build 7 new AI supercomputers, one of which will be equipped with 10,000 Blackwell GPUs, driving advancements in computing power for scientific research and defense.
At the industry application level, NVQLink has demonstrated clear commercialization potential. In the field of drug development, quantum processors rapidly generate candidate molecular structures, while GPU clusters simultaneously carry out simulations and validations of millions of compounds, significantly shortening the new drug development cycle. In the financial sector, JPMorgan is testing a risk modeling system based on this technology, which combines quantum optimization algorithms with real-time GPU computing to improve the predictive accuracy in extreme market scenarios.
In his speech, Jensen Huang emphasized: 'The breakthrough in quantum computing does not lie in improving the performance of QPUs alone, but in enabling efficient collaboration between quantum and classical computing power.' According to McKinsey, by 2030, quantum computing will generate over $1 trillion in economic value, with hybrid computing architectures taking the lead. With the rollout of NVQLink, NVIDIA is transforming from an AI computing power leader into a builder of the quantum ecosystem, driving the global computing industry into a new era of 'quantum-classical' synergy.
Recently, NVIDIA released the NVQLink interconnect technology, which connects QPUs (quantum processing units) with GPUs. This technology has gained support from 17 quantum computing companies, 5 controller manufacturers, and 9 U.S. national laboratories, and will accelerate quantum error correction and hybrid simulation processes. At the same time, NVIDIA announced a collaboration with the U.S. Department of Energy to build 7 new AI supercomputers, one of which will be equipped with 10,000 Blackwell GPUs, driving advancements in computing power for scientific research and defense.
At the industry application level, NVQLink has demonstrated clear commercialization potential. In the field of drug development, quantum processors rapidly generate candidate molecular structures, while GPU clusters simultaneously carry out simulations and validations of millions of compounds, significantly shortening the new drug development cycle. In the financial sector, JPMorgan is testing a risk modeling system based on this technology, which combines quantum optimization algorithms with real-time GPU computing to improve the predictive accuracy in extreme market scenarios.
In his speech, Jensen Huang emphasized: 'The breakthrough in quantum computing does not lie in improving the performance of QPUs alone, but in enabling efficient collaboration between quantum and classical computing power.' According to McKinsey, by 2030, quantum computing will generate over $1 trillion in economic value, with hybrid computing architectures taking the lead. With the rollout of NVQLink, NVIDIA is transforming from an AI computing power leader into a builder of the quantum ecosystem, driving the global computing industry into a new era of 'quantum-classical' synergy.