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Quantum Computing Inc.

NeuraWave

PCIe-card photonic reservoir-computing accelerator for machine learning, programmed through a Python API.

SoftQuantus illustration in frosted glass. It is not a photograph of the NeuraWave.

Specifications

Form factor
PCIe 3.0, x4 lanes, 3 slots
ADC / DAC
1.25 GSps 14-bit ADC; 1.25 GSps 16-bit DAC
Max nodes
10,000 (1.6 km fiber in first prototype)
Power consumption
~36 W
Software interface
Python API (NumPy/PyTorch-compatible for data prep)

Read on the manufacturer’s product page and datasheet on 14 November 2026. The manufacturer may change a specification; the offer states the configuration.

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