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BTQ Technologies partners with TIDAL PWR on quantum data center framework

July 20, 2026 7:30 AM EDT

BTQ Technologies Corp. (Nasdaq: BTQ | Cboe CA: BTQ) announced a strategic collaboration with TIDAL PWR, a Texas-based power generation and data center infrastructure developer, to create a reference architecture for quantum-enabled data centers.



According to a press release, the collaboration is intended to produce a repeatable deployment model for large-scale facilities integrating quantum systems alongside artificial intelligence and high-performance computing infrastructure. The initial scope is expected to cover quantum data center design principles, trusted supply chain requirements, vendor and device procurement standards, and post-quantum cryptographic security considerations.



BTQ's role is expected to center on solutions architecture, post-quantum security guidance, trusted procurement frameworks, and vendor mapping across the quantum infrastructure stack. The parties said they intend to begin with an initial planning and architecture track, with the potential to expand into deeper technical and commercial opportunities.



"Building trusted quantum infrastructure is not just about the technology itself. It is about giving operators a clear path to deploy it," said Olivier Roussy Newton, CEO of BTQ Technologies. "By combining that focus with BTQ's work across post-quantum security, quantum systems architecture, and trusted deployment models, we believe there is an opportunity to help define what a quantum data center should look like before the market standard is set."



Chad Swensen, President and CEO of TIDAL PWR, said the collaboration is intended to position TIDAL PWR among infrastructure developers planning for quantum requirements in future data centers.



Planned workstreams include a technical roadmap for integrating quantum systems into large-scale facilities, procurement standards for devices and infrastructure components, supply chain and vendor assessment criteria, and security frameworks for AI workloads and enterprise data.


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