Quantum Security, Cybersecurity

BTQ Technologies and ITCEN PNS collaborate on quantum security

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August 13, 2026 by Ivy Delaney

BTQ Technologies has signed a Memorandum of Understanding with ITCENGLOBAL, a Korean IT group reporting consolidated revenue of approximately KRW 8.9 trillion for the 2025 fiscal year. The collaboration will integrate post-quantum cryptography and secure authentication for critical infrastructure across Korea, including financial networks, biometric authentication, and public-sector systems. This work focuses on areas where quantum-resistant security is increasingly important, with ITCEN PNS, ITCENGLOBAL’s security platform subsidiary listed on KOSDAQ: 232830, playing a key role in deployment.

ITCENGLOBAL and BTQ Technologies’ KRW 8.9 Trillion Post-Quantum Security MOU

ITCENGLOBAL’s scale as a Korean IT group, reporting approximately KRW 8.9 trillion in consolidated revenue for the 2025 fiscal year, underscores the significant financial investment backing this new post-quantum security initiative. The memorandum of understanding between ITCENGLOBAL and BTQ Technologies establishes a collaborative framework designed to fortify critical infrastructure against future threats from quantum computing, leveraging the strengths of both organizations.

This validation is a crucial prerequisite for supplying cryptographic products to Korean government and public institutions, demonstrating a proactive approach to quantum-resistant security. The partnership will specifically target vulnerabilities within financial networks, digital identity systems, biometric authentication protocols, and security for both public-sector and enterprise platforms.

BTQ Technologies, traded on the Nasdaq as BTQ and the CBOE CA as BTQ, brings its expertise in post-quantum cryptography and hardware-rooted security architectures to the collaboration. “ITCENGLOBAL is one of Korea’s most significant technology groups, with deep relationships across public-sector, financial, and enterprise infrastructure,” said Olivier Roussy Newton, CEO and Chairman of BTQ Technologies. The strategic rationale centers on combining BTQ’s technological capabilities with ITCEN PNS’s certified products and established delivery channels within Korea, accelerating the adoption of quantum-safe technologies.

ITCEN PNS has already demonstrated practical implementation of post-quantum cryptography in live financial environments, and this collaboration reflects that experience. Won-gyu Park, Chief Executive Officer of ITCEN PNS, explained, “ITCEN PNS is focused on building security platforms for public institutions, financial organizations, and enterprise customers.” He added that as organizations prepare for the post-quantum transition, technical credibility and implementation experience will be critical.

The MOU outlines plans to evaluate opportunities for integrating, testing, and commercializing quantum-safe security solutions, including secure financial communications and blockchain security, reflecting BTQ’s broader strategy of partnering with regional leaders to access key deployment environments. The agreement signifies a commitment to building trusted quantum technologies for essential systems, positioning both companies to secure Korea’s digital future.

ITCENGLOBAL is one of Korea’s most significant technology groups, with deep relationships across public-sector, financial, and enterprise infrastructure.

Olivier Roussy Newton, CEO and Chairman of BTQ Technologies
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BTQ Technologies Cryptography Post-Quantum Security
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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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