NishMath - #nvidia

Nvidia CEO Jensen Huang has publicly walked back previous comments made in January, where he expressed skepticism regarding the timeline for quantum computers becoming practically useful. Huang apologized for his earlier statements, which caused a drop in stock prices for quantum computing companies. During the recent Nvidia GTC 2025 conference in San Jose, Huang admitted his misjudgment and highlighted ongoing advancements in the field, attributing his initial doubts to his background in traditional computer systems development. He expressed surprise that his comments had such a significant impact on the market, joking about the public listing of quantum computing firms.

SEEQC and Nvidia announced a significant breakthrough at the conference, demonstrating a fully digital quantum-classical interface protocol between a Quantum Processing Unit (QPU) and a Graphics Processing Unit (GPU). This interface is designed to facilitate ultra-low latency and bandwidth-efficient quantum error correction. Furthermore, Nvidia is enhancing its support for quantum research with the CUDA-Q platform, designed to streamline the development of hybrid, accelerated quantum supercomputers. CUDA-Q performance can now be pushed further than ever with v0.10 support for the NVIDIA GB200 NVL72.


References :

• NVIDIA Technical Blog: The NVIDIA CUDA-Q platform is designed to streamline software and hardware development for hybrid, accelerated quantum supercomputers.
• insidehpc.com: During quantum day at Nvidia's GTC 2025 conference in San Jose, SEEQC and NVIDIA announced they have completed an end-to-end fully digital quantum-classical interface protocol demo between a QPU and GPU.
• OODAloop: Nvidia CEO Huang on Thursday walked back comments he made in January, when he cast doubt on whether useful quantum computers would hit the market in the next 15 years.
• The Tech Basic: Nvidia CEO Jensen Huang apologized for comments he made earlier this year that caused stock prices of quantum computing companies to plunge.

Classification:

• HashTags: #QuantumComputing #Nvidia #CUDA-Q
• Company: Nvidia
• Target: Quantum Computing
• Product: CUDA-Q
• Feature: QPU-GPU Interface
• Type: AI
• Severity: Informative

NVIDIA is establishing the Accelerated Quantum Research Center (NVAQC) in Boston to integrate quantum hardware with AI supercomputers. The aim of the NVAQC is to enable accelerated quantum supercomputing, addressing quantum computing challenges such as qubit noise and error correction. Commercial and academic partners will work with NVIDIA, with collaborations involving industry leaders like Quantinuum, Quantum Machines, and QuEra, as well as researchers from Harvard's HQI and MIT's EQuS.

NVIDIA's GB200 NVL72 systems and the CUDA-Q platform will power research on quantum simulations, hybrid quantum algorithms, and AI-driven quantum applications. The center will support the broader quantum ecosystem, accelerating the transition from experimental to practical quantum computing. Despite the CEO's recent statement that practical quantum systems are likely still 20 years away, this investment shows confidence in the long-term potential of the technology.


References :

• The Register - On-Prem: Nvidia invests in quantum computing weeks after CEO said it's decades from being useful
• The Quantum Insider: NVIDIA Launches Boston-Based Quantum Research Center to Integrate AI Supercomputing with Quantum Computing
• AI News | VentureBeat: Nvidia will build accelerated quantum computing research center
• The Quantum Insider: NVIDIA’s Quantum Strategy: Not Building the Computer, But the World That Enables It
• The Quantum Insider: Quantum Machines Announces NVIDIA DGX Quantum Early Access Program

Classification:

• HashTags: #QuantumResearch #AISupercomputing #NVidia
• Company: NVIDIA
• Target: Computing
• Product: QuantumComputing
• Feature: Integration
• Type: Research
• Severity: Medium