Quantum Technology, Quantum Events

OptQC’s COO to pitch at Osaka quantum tech event

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October 5, 2026 by Ivy Delaney

Noriaki Iwata, Director and COO of OptQC Corp., will pitch the company’s technology at the “Quantum Deep Tech Showcase & Business Matching” event in Osaka on Monday, October 5, 2026. Organized as a side event of the “Global Startup EXPO 2026 (GSE 2026),” the showcase targets collaborations such as business partnerships and joint research through advance-reserved individual matching sessions. OptQC aims to establish connections with businesses and venture capital firms interested in quantum computing, communication, and sensing technologies. The event will be held at The University of Osaka Nakanoshima Center.

Noriaki Iwata to Pitch OptQC at Osaka Quantum Tech Event

The event organizers have set a capacity of 50 participants, with applications accepted until 17:00 on Friday, October 2, 2026. Beyond general networking, the event prioritizes individual business matching sessions, requiring advance reservation to facilitate focused discussions. These sessions are designed to explore specific collaborations, including business partnerships, joint research initiatives, Proof of Concept projects and technical alliances.

Event materials indicate the focus on quantum technology stems from its designation as a national strategic domain within Japan. Iwata’s background combines technical expertise with business acumen. He earned a Master’s degree from the University of Tokyo’s Graduate School of Engineering, where his research under Professor Akira Furusawa centered on optical quantum state generation and quantum operation.

Prior to joining OptQC in 2025, he held strategy roles at Accenture, Rakuten Group, and NS Group, leading new business development and enterprise transformation. The event’s official website, available in Japanese, provides further details for prospective attendees.

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Avatar of Ivy Delaney

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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