Quantum Hardware, Quantum Security

SEALSQ and WISeSat.Space to demo integrated quantum stack

Avatar of Ivy Delaney
October 8, 2026 by Ivy Delaney

SEALSQ Corp will demonstrate an integrated security stack extending from silicon to space at the IQT Quantum + AI 2026 event in New York. The company’s QS7001 Quantum Shield implements both NIST-standardized ML-KEM and ML-DSA alongside classical cryptography, reflecting a pragmatic approach to post-quantum security. This demonstration includes a collaboration with WISeSat. Space Corp, SEALSQ’s sister company, to build the first Quantum Spatial Orbital Cloud. “Quantum and AI are converging faster than most security architectures were built to handle,” said CEO Carlos Moreira, who will deliver the event’s keynote address on October 27th.

SEALSQ and WISeSat.Space Demonstrate Integrated Root-to-Qubit-to-Space Stack

WISeSat. This initiative pairs SEALSQ’s security technologies with WISeSat. Space’s satellite infrastructure, aiming to establish a secure orbital layer for quantum services. An initial QSOC payload is scheduled for launch in the fourth quarter of this year, demonstrating a rapid transition from development to deployment. SEALSQ intends to manage the security and cloud-services layer of the QSOC, while WISeSat. Space will focus on the satellites, payloads and ground segment operations. This hybrid approach, coupled with a NIST SP 800-90B validated entropy source, suggests a pragmatic strategy for near-term post-quantum security implementation.

Complementing the Quantum Shield is the QVault TPM, bringing the Trusted Computing Group’s post-quantum command set directly into silicon, allowing for on-chip generation and storage of ML-DSA and ML-KEM keys. Both hardware lines are currently undergoing certification processes covering Common Criteria, FIPS 140-3 and TCG standards, indicating a commitment to rigorous security validation. Beyond the hardware layer, SEALSQ’s PKI and provisioning services manage credentials, establishing a Root of Trust for devices, infrastructure and artificial intelligence systems.

This trust model extends into quantum computing through SEALQuantum, where SEALSQ is developing a vertical stack encompassing secure semiconductors, ASIC design, photonics and quantum processors. A commercial agreement with Quobly will integrate post-quantum security, hardware Root of Trust and PKI into silicon quantum platforms, further solidifying the company’s position in the emerging quantum ecosystem.

Moreira said, “Trust has to be issued in hardware, managed through a post-quantum Root of Trust and PKI, and, where the mission requires it, carried into space. That is the stack we are bringing to New York.” This presentation positions Moreira as a central voice at a key industry event, highlighting the convergence of quantum computing, artificial intelligence and the need for robust security solutions.

Quantum and AI are converging faster than most security architectures were built to handle.

Carlos Moreira, Chief Executive Officer at SEALSQ
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NIST post-quantum cryptography Quantum Computing SEALSQ semiconductors
Avatar of Ivy Delaney

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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