Welcome to another biweekly update on all things quantum computing. Today’s piece is truly dominated by Nvidia’s (NVDA) Global Technology Conference in Washington and the reveal of its new NVQLink system, which set off a wave of collaborations across the quantum industry. From national labs in the U.S. to startups in Europe, the event marked a new chapter for hybrid quantum and classical computing. Let’s go.
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Nvidia Brings Quantum and AI Together
Naturally, we begin with Nvidia’s new reveal: NVQLink, an open system that connects quantum processors directly to its GPU-based supercomputers. The system is designed to handle real-time control and error correction, two key tasks for making quantum computers work reliably.
Chief Executive Jensen Huang described NVQLink as the bridge that links quantum and classical computing into one system. He said every Nvidia GPU-powered supercomputer will soon use this setup, allowing both types of machines to work side by side.
The project involves 17 quantum hardware companies, five control-system builders, and nine U.S. national labs. Partners include Quantinuum, IonQ (IONQ), Rigetti Computing (RGTI), and Pasqal, as well as hardware providers like Quantum Machines and Keysight Technologies (KEYS). The U.S. Department of Energy said NVQLink supports its plan to keep the country ahead in high-performance computing.
The system will also work with CUDA-Q, Nvidia’s software for hybrid computing. That means developers can now design algorithms that use CPUs, GPUs, and QPUs all at once.
Industry Partners Line Up
Following Nvidia’s launch, several companies announced new steps. Pasqal said it is linking its neutral-atom quantum processors with NVQLink to build more stable logical qubits. This move supports its plan for scalable, hybrid quantum-AI systems.
Alice & Bob, based in France, said it is using NVQLink to speed up fault-tolerant computing. The system lets its devices run calibration and decoding tasks faster by using Nvidia GPUs for live data processing.
Quantum Machines, an Israeli firm, said it has updated its DGX Quantum platform to support NVQLink. The new setup allows data to move between quantum processors and GPUs in microseconds. This tight link could help speed up error correction and improve quantum control.
In Australia, Diraq said it is working with Sandia National Labs to use NVQLink for real-time calibration of its silicon qubits. The project combines machine learning with quantum control, showing how NVIDIA’s system could become a standard for industry research.
Quantum Moves to the Factory Floor
Beyond the Nvidia news, a new report from the World Economic Forum and Accenture (ACN) highlights how quantum technology is already being used in real-world industries.
Boeing (BA) used quantum simulations to study corrosion, cutting computation time by up to 85%. Ford Otosan (F) applied hybrid quantum algorithms to scheduling tasks and cut production time by 50%. TSMC (TSM) is using quantum sensors to detect chip defects earlier in the process.
The report warns that firms must act soon to prepare for “quantum-safe” security, since new quantum computers could eventually break current encryption systems. Governments and companies are already testing new standards and tools to guard against that risk.
New Quantum Startups and Space Hardware
In Europe, SemiQon joined the European Space Agency’s business program to adapt its cryogenic CMOS chip technology for satellites and exploration vehicles. The company says its chips use less power and could extend battery life in space by up to 50%.
At the same time, QAI Ventures launched a new accelerator in Singapore to support startups building products that mix quantum computing with AI. The program, backed by Enterprise Singapore, will open applications through early 2026 and target up to seven new companies by 2027.
We used TipRanks’ Comparison Tool to line up leading quantum stocks with the tickers mentioned in this piece. It’s a quick way to see how they stack up and where the field could be heading.
