aiqbench takeQuantum Computing

Qingxing Heterogeneous Computing secured significant funding to advance "quantum-inspired" AI models that run efficiently on conventional GPU hardware, aiming to replicate specialized quantum calibration performance with drastically reduced parameter counts. By partnering with major chipmakers like Biren Technology and MetaX, the company seeks to bridge the gap between theoretical quantum advantages and practical deployment on existing infrastructure. This development highlights a strategic shift toward making high-performance AI accessible without waiting for full-scale quantum hardware maturity.

Source coveringThe Quantum Insider

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China’s Qingxing Raises Nearly 100 Million Yuan to Develop Quantum-Inspired AI

The Quantum InsiderSeptember 25, 20266 min read

Insider Brief Qingxing Heterogeneous Computing completed a Series A+ funding round, bringing its total raised across two rounds in three months to nearly 100 million yuan (about $14.9 million) to develop quantum-inspired AI. Its RiverONE model runs on conventional GPUs and reportedly achieved at least 95% of a larger comparison model’s performance on a specialized […]

Qingxing Heterogeneous Computing completed a Series A+ funding round, bringing its total raised across two rounds in three months to nearly 100 million yuan (about $14.9 million) to develop quantum-inspired AI. Its RiverONE model runs on conventional GPUs and reportedly achieved at least 95% of a larger comparison model’s performance on a specialized quantum calibration task with less than one-tenth as many parameters. The company is working with chipmakers including Biren Technology and MetaX to adapt quantum software and AI models to their hardware, although the report did not disclose revenue from those partnerships. Qingxing Heterogeneous Computing completed a Series A+ funding round, bringing its total raised across two rounds in three months to nearly 100 million yuan (about $14.9 million) to develop quantum-inspired…

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