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PsiQuantum unveils 8x8 optical switch cutting AI data center losses to 1.2 dB

PsiQuantum, a quantum computing firm, introduced an optical switch for AI data centers that loses only 1.2 dB of light in lab tests—about a quarter less than typical industry switches. The 8x8 prototype, which uses silicon photonics and no moving parts, outperforms competitors like Google’s MEMS-based Palomar in insertion loss but remains smaller, with plans for larger devices (64x64 and 72x72…

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Key points

  • PsiQuantum’s 8x8 optical switch loses 1.2 dB of light, outperforming typical 3 dB industry loss in lab tests
  • Prototype uses silicon photonics with no moving parts, targeting Nvidia’s 3 dB loss threshold for GPU networks
  • Company plans 64x64 and 72x72 switches, citing scalable silicon nitride waveguides with <0.5 dB/m loss

The company cites its 2025 Nature paper, where silicon nitride waveguides lost as little as 0.5 dB per meter. PsiQuantum’s switch targets Nvidia’s 3 dB loss threshold and aligns with its CHIPS award for high-performance optical switches. While rivals like Salience Labs and iPronics offer amplified switches with under 2 dB loss, PsiQuantum’s approach—using thermally switched silicon nitride—aims for scalability without amplifiers. Nvidia, which collaborates with PsiQuantum, also invested in iPronics’ $125 million round for its second-gen optical switch. PsiQuantum expects commercial products and larger device updates in the coming months, though independent verification is pending.

Full story from Tom's Hardware · by Shane DowningOpen source ↗

PsiQuantum turns its photonics know-how into an optical switch for supercharging AI data center GPU networks — 8x8 lab prototype loses less light than rivals, with plans to develop larger devices

Tom's Hardware · 30 October 2026

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This text was published by Tom's Hardware and written by Shane Downing. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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PsiQuantumGoogleLumentumSalience LabsiPronicsNvidiaRob SoderberyPete Shadbolt

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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