SEALSQ to present quantum security roadmap at investor conferences

SEALSQ Corp will outline its quantum security roadmap at the Cantor:Crypto, FinTech, AI & Energy Infrastructure Conference and the BMO Capital Markets:Technology and Innovation Leaders Conference on November 11 and 12, 2026, respectively. The company intends to highlight applications of its technology across critical sectors including finance, artificial intelligence and infrastructure, SEALSQ Corp says.

Mr. Moreira will participate in a quantum panel at the BMO conference alongside Jonathan Nguyen-Duy of Arqit Quantum and Yuping Huang of Quantum Computing, moderated by Harsh Kumar. SEALSQ reports focusing on its “Made in USA Quantum Strategy” and expansion of partnerships to deploy its Quantum Shield QS 7001 platform.

SEALSQ’s Quantum Shield QS 7001 Platform and US Expansion

SEALSQ plans to expand domestic production of its Quantum Shield technology within the United States, according to recent announcements made ahead of upcoming investor conferences. The company intends to localize the QS 7001 platform, bolstering the development of quantum-resilient infrastructure across multiple sectors. This initiative builds on recent investments in U.S.-based quantum technology companies, signaling a commitment to strengthening the nation’s security posture in the face of advancing quantum computing capabilities.

Mr. Moreira will conduct one-on-one meetings with investors at both events, further outlining the company’s strategic direction. SEALSQ emphasizes the increasing vulnerability of current cryptographic standards, such as RSA and Elliptic Curve Cryptography, to the potential of quantum computers. The company’s focus lies in developing Post-Quantum Semiconductors that integrate robust cryptography directly into hardware solutions.

These semiconductors are designed to protect sensitive data across applications ranging from multi-factor authentication tokens to industrial automation and control systems, according to SEALSQ Corp. According to the company’s website, sealsq.com, “By embedding Post-Quantum Cryptography into our semiconductor solutions, SEALSQ ensures that organizations stay protected against quantum threats.” The company highlights the importance of safeguarding critical systems and enhancing resilience across diverse industries through its technology.

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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.

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