EPISODE · Jul 31, 2026 · 34 MIN
Why photonic quantum computing needs better photons
from Beyond the Qubit · host Frank Dekker
In photonic quantum computing, the cheapest error is the one you reduce before it compounds.In this episode, I continue my deep dive with Jelmer Renema from QuiX Quantum to explore one of the most important challenges in photonic quantum computing: improving photon quality before errors become more expensive later.At first, I thought QuiX’s photon distillation work was mainly about reducing loss. Jelmer corrected that. The deeper challenge is indistinguishability. Photons need to be identical enough that the system cannot tell them apart: the same timing, colour, polarization, and quantum state. That turns a physics challenge into an economic one.This episode is for investors, founders, and anyone trying to understand what it takes to make photonic quantum computing commercially viable. Better photons early can mean more useful resources later: more computing power from the same input photons, less correction overhead, less hardware complexity, and potentially lower costs.That is why QuiX is focusing on the difficult problems early: photon quality, error reduction, feed-forward, and system integration. The key investor question is not only whether photonic quantum computers can work. It is whether they can scale with an economic model that makes sense.💡 In this episode, we cover:Why photon quality matters more than just photon quantityWhy indistinguishability is the key challenge behind photon errorsHow photon distillation can reduce overhead before errors compoundWhy better physics can translate into better economicsHow error reduction affects hardware requirements and scaling costsWhy QuiX is focused on difficult engineering problems earlyWhat feed-forward and system integration mean for photonic quantum systemsThe investor question: can photonic quantum computing scale economically?Chapters00:00 QuiX’s latest progress in photonic quantum computing09:40 Why photon quality matters for scaling10:09 Loss versus indistinguishability explained14:51 How photon distillation reduces overhead17:30 Why better photons improve quantum economics20:30 The challenge of building scalable photonic systems22:00 Delivering photonic quantum computers to customers24:00 The future of photonic quantum computingShare this episode with someone investing in or building in quantum, and subscribe or follow Beyond the Qubit for more conversations on quantum technology, markets, and investing.📌 Disclaimer:This post is shared on a personal basis and I do not represent any company.
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Why photonic quantum computing needs better photons
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