Quantum Computing Business News, Quantum Security

BTQ Technologies will protect LINE NEXT wallets from quantum attacks

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September 30, 2026 by Ivy Delaney

LINE NEXT’s Unifi Wallet will soon benefit from post-quantum security thanks to a three-year commercial agreement between Kaia DLT Foundation and BTQ Technologies. The deal marks the first recurring commercial deployment for BTQ’s Quantum Secure Stablecoin Network, or QSSN, and positions Unifi Wallet as one of the first consumer applications to receive chain-level quantum protection. BTQ expects six-figure revenue in USD during the first year, tied to a share of transaction fees, and anticipates reaching a user base exceeding 250 million people across the LINE and Kakao ecosystems in Asia.

QSSN and Kaia Foundation Enable Post-Quantum Security for LINE NEXT’s Unifi Wallet

This deployment marks QSSN’s first instance of sustained commercial operation, moving the technology beyond pilot programs and into a consumer-facing application with the potential to reach over 250 million users across Asia. Kaia Foundation will integrate the security at the chain level, protecting stablecoin issuance and settlement for all applications within its ecosystem, including Unifi Wallet. The agreement’s structure differs from traditional licensing models, instead tying BTQ’s revenue directly to transaction volume secured by QSSN.

“Linking our revenue to transaction volume aligns BTQ with Kaia; we grow as QSSN-secured activity grows,” said Christopher Tam, President and Head of Innovation. This model positions BTQ not merely as a security provider, but as a partner invested in the success of the Kaia ecosystem and its users.

Kaia, formed from the merger of Kakao’s Klaytn and LINE Tech Plus’s Finschia chains, offers a high-throughput blockchain with one-second block times and the capacity to process up to 4,000 transactions per second, LINE NEXT says. Native USDT was deployed on Kaia in May 2025, and the foundation is actively exploring infrastructure for Korean won and Japanese yen-backed stablecoins. BTQ’s QSSN will protect these stablecoins at the account level, safeguarding assets without requiring changes to the Unifi Wallet application itself.

“Kaia was built as settlement infrastructure for stablecoins across Asia, and infrastructure has to be ready for threats that are years away, not just the ones in front of us today,” explained Sam Seo, Chairman of Kaia DLT Foundation. BTQ detailed a quantum algorithm for one-shot signatures on September 18, 2026, a cryptographic primitive offering single-use security. LINE NEXT’s Unifi Wallet, accessible directly within the LINE Messenger app, supports a variety of stablecoins including USDT, JPYC and IDRP.

With approximately 196 to 200 million monthly active users across Asia, LINE provides a significant distribution channel for Kaia-based services and QSSN-secured transactions. “As more value moves through stablecoins on Kaia, the security of the underlying chain becomes a shared priority for everyone building on it,” said Woosuk Kim, Chief Strategy Officer of LINE NEXT. “This agreement advances BTQ’s strategy of making security part of the infrastructure that digital finance runs on,” said Olivier Roussy Newton, Chief Executive Officer of BTQ.

For BTQ, the significance is both commercial and strategic; it establishes a recurring revenue model for QSSN and brings our technology into the wallet and settlement infrastructure of a major consumer ecosystem. The company anticipates this deployment will be a foundation for expanding QSSN’s reach to additional wallets, stablecoin issuers and payment networks across the region.

This agreement advances BTQ’s strategy of making post-quantum security part of the infrastructure that digital finance runs on.

Olivier Roussy Newton, Chief Executive Officer of BTQ Technologies
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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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