IBM Research announced a 52-times design speedup for quantum error correction hardware using AI agents. The result demonstrates the potential to optimize hardware with a minimal inference budget. Researchers spent $26 on inference.
The team combined open frontier models with a low-cost distributed inference system, allowing AI agents to participate in the hardware design process.
IBM was recently named a Leader in Gartner’s Magic Quadrant for API Management for the 11th consecutive time. The company is also increasing its focus on AI agent governance.
JPMorgan reiterated its Overweight rating on IBM. It maintained a $250 price target and expects the stock to recover in the third quarter as deals that slipped in the second quarter convert.