Quantum Cryptography, Cybersecurity

Lattice Semiconductor wins cybersecurity award for quantum-proof chips

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October 9, 2026 by Ivy Delaney

Lattice Semiconductor’s MachXO5-NX TDQ FPGAs received the 2026 CyberSecurity Breakthrough Award in the “Post-quantum cryptography (PQC) Solution of the Year” category, recognizing an industry first in adaptable, quantum-resistant security. The chips combine CNSA 2.0-compliant PQC with crypto-agility and hardware-based trust, allowing for immediate deployment against evolving cyber threats. Steve Johansson, Managing Director, CyberSecurity Breakthrough, highlighted the FPGA’s capacity for both current and future cryptographic standards, stating that organizations need quantum-resistant security now, not in the future. Lattice reports the technology addresses long-lifecycle infrastructure security needs from deployment.

MachXO5-NX TDQ FPGAs Enable Post-Quantum Cryptography

Lattice Semiconductor’s MachXO5-NX TDQ FPGAs now incorporate CNSA 2.0-compliant post-quantum cryptography, a feature recognized by the 2026 CyberSecurity Breakthrough Award judging panel. This combination of PQC implementation with crypto-agility and hardware-based trust allows for immediate deployment of quantum-resistant security measures in critical infrastructure. The award specifically acknowledges the technology’s ability to address evolving security requirements from the point of deployment, offering protection against future quantum computing-based attacks.

Eric Sivertson, VP of Security Business at Lattice Semiconductor, explains that organizations require solutions delivering strong protection, and the MachXO5-NX TDQ FPGA family distinguishes itself through its low power consumption while simultaneously providing a scalable and adaptable security framework. Lattice reports this technology addresses the long-lifecycle security needs of infrastructure, offering a hardware-rooted approach to cryptographic protection. “This recognition underscores Lattice’s commitment to helping customers deploy hardware-rooted security, crypto-agility, and PQC capabilities in systems shipping today,” Sivertson added. The FPGA’s inherent flexibility allows for adaptation as cryptographic standards change, ensuring sustained security beyond initial deployment.

This FPGA from Lattice Semiconductor redefines what programmable silicon can deliver.

Steve Johansson, Managing Director, CyberSecurity Breakthrough
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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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