POET, Quantum Computing team up on 3.2 Tbps optical engines for next-gen AI networks

  • POET Technologies (POET) and Quantum Computing (QUBT) on Tuesday announced a strategic collaboration to develop 400G/Lane thin-film lithium niobate (TFLN) modulator-based 3.2Tbps engines that will be designed to lead the next era of computing.
  • QCi will leverage its expertise with TFLN to integrate the high-performance 400G/Lane modulators with the POET Optical Interposer platform technology.
  • When complete, the engine will provide data-transfer speeds at 3.2Tbps and beyond, meeting the massive demand of AI systems, networks, and data center hyperscalers.

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