SEALSQ & Quobly Seal $5 Million Post-Quantum Security Deal

A $5 million commercial agreement between SEALSQ (NASDAQ: LAES) and Quobly signals a shift from collaboration to commercial deployment of post-quantum security solutions for quantum computing. The deal will see Quobly integrate technologies from SEALSQ, including secure semiconductors and hardware-based Root-of-Trust, into its silicon-based quantum computing platform, which recently received €115 million in Series A financing. This addresses the growing need to secure quantum processors, control electronics, and communications networks as the technology moves toward industrial scale. “The signing of this $5 million commercial agreement represents an important milestone in the execution of SEALSQ’s quantum strategy and demonstrates the growing commercial demand for post-quantum semiconductor technologies,” said Carlos Moreira, Founder and CEO of SEALSQ. SEALSQ and Quobly’s $5 Million Agreement for Post-Quantum Security Integration This deal marks a transition toward deploying post-quantum security solutions directly into Quobly’s silicon quantum computing platforms, building on previous research. The financial commitment follows Quobly’s recent €115 million Series A financing, which is now being used to accelerate the industrialization and commercialization of its quantum technology. SEALSQ will provide a comprehensive portfolio of post-quantum security technologies, extending beyond software to encompass the hardware underpinning Quobly’s quantum systems, including Cryo CMOS ASICs for quantum architectures, post-quantum secure semiconductor designs, and hardware-based Root-of-Trust technologies intended to authenticate quantum infrastructure and connected systems. The collaboration aims to integrate these security measures at the foundational level, protecting quantum processors, control systems, communications networks, and trusted execution environments. Quobly’s focus on silicon spin qubits, compatible with existing CMOS manufacturing, is central to this integration. According to Maud Vinet, Co-Founder and CEO of Quobly, the objective is to build quantum computing systems where security is designed into the platform from the start, alongside scalability and manufacturability.

Their Alloy Pioneer, slated for cloud deployment by the end of 2026, will be among the first to benefit from this enhanced security architecture. The companies envision applications spanning government, defense, finance, pharmaceuticals, and artificial intelligence, all requiring robust protection against conventional and future quantum-enabled cyberattacks. This agreement is about building a secure and sovereign European quantum computing ecosystem, leveraging complementary technologies to design, manufacture, and operate strategic quantum infrastructure. The partnership demonstrates SEALSQ’s strategy of converting its investments into commercial opportunities for its post-quantum technologies, and positions both companies to address the increasing need for hardware-level security in the evolving quantum landscape. The signing of this $5 million commercial agreement represents a milestone in the execution of SEALSQ’s quantum strategy and demonstrates the growing commercial demand for post-quantum semiconductor technologies. Carlos Moreira, Founder and CEO of SEALSQ Source: https://www.globenewswire.com/news-release/2026/07/10/3325451/0/en/sealsq-and-quobly-sign-5-million-commercial-agreement-to-integrate-post-quantum-security-into-next-generation-silicon-quantum-computing-platforms.html Stay currentSee today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals. Tags: Ivy Delaney Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing.

For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release. Latest Posts by Ivy Delaney: Kagome metal’s quantum effects yield strong heat-to-power at zero field August 13, 2026 Quantum chip isolator cuts back-reflections by 30 decibels August 13, 2026 T-SQUARED builds new quantum center to triple Infleqtion UK’s space August 13, 2026