NSF Selects Five New Teams for National Quantum Virtual Laboratory

thequantuminsider.com Jun 24, 2026

NSF Selects Five New Teams for National Quantum Virtual Laboratory

Curated by Shubham · TechCapsules · Jun 24, 2026

AI-summarised brief · reviewed before publication

The U.S. National Science Foundation has selected five additional teams for the National Quantum Virtual Laboratory program, providing $20 million in total funding to advance quantum computing, networking, and sensing technologies. Each team will receive $4 million over two years to develop plans for experimental quantum systems and prepare for a future implementation phase. The projects involve collaboration across universities, federal agencies, and industry partners, including companies such as IonQ, NVIDIA, and Boeing. The teams will collectively join four others selected in 2025 to support the Administration's vision of strengthening U.S. leadership in quantum innovation.

💡 Why It Matters

· This funding boost underscores the Administration's commitment to quantum innovation, leveraging the collective talent of academia, government, and industry to drive breakthroughs in quantum science and technology.
· By fostering collaboration and education, NSF aims to grow the STEM workforce and accelerate the development of practical quantum technologies.

Capsules Quantum Computing

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Manufacturing Throughput, Iteration Speed, and the Economics of Fabrication

IonQ's acquisition of SkyWater Technology, a US-based semiconductor foundry, is expected to close in the second or third quarter of 2026. The deal, valued at approximately $1.8 billion, marks a significant shift in the quantum industry, with manufacturing economics and throughput becoming crucial factors in the development of quantum hardware. IonQ will gain direct control over design, wafer fabrication, packaging, and testing, eliminating handoff delays and scheduling uncertainty. This move is expected to accelerate IonQ's roadmap, with the company targeting 200,000-qubit machines by 2029 and 2,000,000-qubit machines by 2030.

💡 Vertical integration is no longer a luxury for quantum hardware developers; it's a necessity. By controlling the entire manufacturing process, companies like IonQ can significantly reduce cycle times and increase the quality of their products, giving them a critical edge in the competitive quantum landscape.

thequantuminsider.com · Jun 24

Bull and Alice & Bob Partner up to Bring Quantum Computers into…

Bull and Alice & Bob have signed a memorandum of understanding to expand their collaboration in research, software development, and commercial deployment of quantum technologies. The partnership aims to integrate Alice & Bob's cat-qubit systems into high-performance computing environments and enhance Bull's Qaptiva software platform for quantum-HPC workflows. Bull has been selected as the software integrator for Alice & Bob's first commercial quantum computer, scheduled to be deployed at CEA's TGCC supercomputing center in 2027. The collaboration will initially focus on Europe, including France, the UK, and Germany.

💡 This partnership accelerates Europe's technological autonomy by turning emerging quantum technologies into practical tools for industry, research, and public-sector applications. By combining Bull's expertise in high-performance computing with Alice & Bob's fault-tolerant quantum computing capabilities, the two companies are well-positioned to enable the deployment and operation of hybrid HPC and quantum infrastructures at scale.

quantumcomputingreport.com · Jun 24

Aegiq deploys automated AI calibration and NVIDIA-accelerated tensor networks for extreme-scale fluid…

Aegiq, a UK-based photonic quantum computing company, has unveiled technical milestones that integrate artificial intelligence and tensor network mathematics into its hardware operations and high-performance computing software stacks. The developments address key scalability bottlenecks in hardware stability and computational fluid dynamics. By leveraging NVIDIA's AI frameworks and accelerated architecture, Aegiq has demonstrated automated system optimization and logarithmic scaling models capable of handling extreme-scale engineering data.

💡 The integration of AI and tensor network mathematics into Aegiq's hardware operations could revolutionize the field of computational fluid dynamics, allowing for faster and more accurate simulations of complex fluid systems. This could have significant implications for industries such as aerospace and automotive, where accurate fluid dynamics simulations are critical for designing and optimizing new products.

thequantuminsider.com · Jun 24

STMicroelectronics Launches ST54M Post-Quantum Security Chip for Mobile Devices

STMicroelectronics has introduced the ST54M, a secure mobile chip designed to meet future quantum-resistant security requirements for smartphone and connected-device manufacturers. The chip combines NFC, secure element, eSIM functionality, and a hardware accelerator for post-quantum cryptography, supporting services such as payments, digital identity, and digital car keys. Sampling is available now, with production targeted for July 2026. The ST54M supports PQC algorithms including ML-KEM and ML-DSA, and has completed certification testing under Common Criteria 2022 EUCC and EMVCo.

💡 The ST54M's post-quantum cryptography capabilities will help mitigate the risk of future quantum computer attacks on mobile devices, protecting sensitive user data and financial transactions.

quantumcomputingreport.com · Jun 24

qBraid Lab Integrates Rigetti Cepheus-1-108Q Processor and Kvantify Qrunch Chemistry Stack

qBraid Lab, a quantum cloud platform, has expanded its ecosystem by integrating the Rigetti Cepheus-1-108Q processor and Kvantify Qrunch chemistry stack. The Cepheus-1-108Q processor, a 108-qubit device, triples the qubit density of its predecessor and operates with high single-qubit gate fidelity. The integration of Qrunch, a quantum chemistry software package, provides production-grade molecular modeling workflows, enabling researchers to simulate complex molecular dynamics. This expansion aims to lower access friction for enterprise quantum teams and material scientists.

💡 The integration of Rigetti's Cepheus-1-108Q processor and Kvantify's Qrunch chemistry stack marks a significant step towards practical quantum computing. By providing a high-density processing target and preconfigured simulation environments, qBraid Lab is poised to accelerate breakthroughs in fields like energy infrastructure, sustainable manufacturing, and molecular pharmacology.

thequantuminsider.com · Jun 24

Classiq and TEA TEK Group Launch Quantum Computing Hub in Naples

Classiq and TEA TEK Group have partnered to establish a quantum computing hub in Naples, serving research, industry, and public-sector users across Italy and Europe. The hub will combine quantum hardware with Classiq's software platform and offer Quantum-as-a-Service by the end of 2026. The initiative aims to support Europe's quantum technology ambitions, providing infrastructure, software, and talent development. The partnership marks a significant moment for Naples, placing the city at the heart of Europe's quantum industrial map. The hub will integrate academia and the commercial sector, creating a dynamic ecosystem for researchers and developers.

💡 The partnership accelerates Europe's drive to build sovereign quantum technology stacks, reflecting growing momentum in public and private investment. It enables companies to access quantum capabilities without substantial infrastructure investment, marking a significant step towards a scalable quantum value chain.