Quantum Security, Cybersecurity

Lattice Semiconductor wins award for quantum-safe FPGAs

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October 12, 2026 by Ivy Delaney

Lattice Semiconductor’s MachXO5-NX TDQ FPGA family has received the 2026 CyberSecurity Breakthrough Award as the first FPGA to incorporate post-quantum cryptography, the company says. The award recognizes the device’s combination of CNSA 2.0-compliant PQC, crypto-agility and hardware-based trust, enabling immediate deployment of quantum-ready security. “As organizations prepare long-lifecycle infrastructure for evolving security requirements, they need solutions that deliver strong protection from day zero,” said Eric Sivertson, Vice President of Security Business at Lattice Semiconductor. “This recognition underscores Lattice’s commitment to helping customers deploy hardware-rooted security, crypto-agility, and PQC capabilities in systems shipping today.”

MachXO5-NX TDQ FPGAs Earn 2026 Cybersecurity Breakthrough Award

Steve Johansson, Managing Director at CyberSecurity Breakthrough, stated that this FPGA from Lattice Semiconductor redefines what programmable silicon can deliver, highlighting the device’s immediate availability for organizations prioritizing quantum-resistant security. These FPGAs address the need for robust security in long-lifecycle infrastructure, offering a scalable and adaptable solution to evolving cryptographic standards.

The MachXO5-NX TDQ family’s low power consumption further enhances its suitability for modern infrastructure applications, allowing for the deployment of quantum-ready security without significant energy overhead, according to Lattice Semiconductor. Lattice Semiconductor’s achievement positions the company as a key player in the emerging field of quantum-safe hardware, providing a foundation for future cryptographic advancements and securing critical systems against potential quantum-enabled cyberattacks.

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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