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NTT and OptQC have signed a capital and business alliance to move optical quantum computing beyond research and closer to commercial use. As part of the agreement, NTT plans to pour investment into OptQC while both companies ramp up their collaboration across technology development, commercialization, supply chain planning, and industry use cases. Their longer-term goal is to assemble a fault-tolerant optical quantum computer with one million qubits by fiscal 2030 and yes, it’s meant to be pretty ambitious.
This partnership really builds on earlier work that started in late 2025, when the two companies kicked off joint research on scalable optical quantum computing. Since then, NTT has established a dedicated research base, while OptQC has begun operating its first optical quantum computer. Their joint research team has also developed what they describe as the world’s highest-quality quantum light source, a key building block for improving optical quantum computer performance.
Under a new joint research agreement running through fiscal 2027, the companies will focus on designing the architecture and core technologies needed for a one million-qubit system. This includes expanding qubit capacity through wavelength division multiplexing, developing fault-tolerant system designs, and completing the overall system architecture.
Also Read: Hitachi, Intel, and AIST Launch Government-Backed Silicon Quantum Computing Project to Advance Japan’s Quantum Future
Beyond technology development, NTT and OptQC plan to work with enterprises, and also research institutions to come up with practical applications and prepare the whole ecosystem that’s needed for large-scale deployment. Their roadmap looks like this: they want to build a supply chain, then roll out proof of concept projects using a 10,000-qubit optical quantum computer, and next develop software that connects optical quantum computing together with the classical side. The companies seem to think optical quantum computing could, in the end, back up demanding workloads across finance, manufacturing, drug discovery, materials science, energy optimization, and AI.
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