AhP-Tech Showcases Quantum Security Advances at City Quantum & AI Summit

Oct 14, 2025
At the City Quantum & AI Summit in London, AhP-Tech Inc. presented its quantum security architecture and announced new developments in post-quantum cryptography and entropy generation technologies.

AhP-Tech Inc. participated in the fifth City Quantum & AI Summit held on October 8, 2025, in London, supported by organizations including NATO and UKQuantum, announced in a press release. The company was the only representative from Taiwan’s quantum computing industry and took part in panels focusing on technological resilience and international cooperation.

During the summit, AhP-Tech’s founder and president, Acharya Shi Zhan-Ah, discussed the firm’s quantum security architecture designed for global enterprises. The system integrates shared post-quantum cryptography (PQC) standards and proprietary hybrid quantum-resilient technologies to counter AI-driven and quantum threats. The company’s general manager also joined a roundtable highlighting supply chain transformation supported by AhP-Tech’s AQCCP cloud quantum computing platform.

AhP-Tech announced updates to its Ah-Crypto library, which has achieved FIPS-203 and FIPS-204 validation from NIST, and confirmed that AQCCP is adopting the NIST SP800-227 guideline for key encapsulation security. The company also developed a physical entropy source using photonic properties to achieve ultra-high randomness exceeding 0.9 bits per sample, which has been submitted to a NIST-accredited lab for validation. Additionally, AhP-Tech expects progress in its quantum chemistry Hamiltonian analysis suite by late 2026.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Cybersecurity AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Cybersecurity AI Weekly

Weekly newsletter about AI in Cybersecurity.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.