Chinese scientists used a quantum computer to fine-tune a billion-parameter artificial intelligence (AI) model, marking what they claim is a global first and a step toward combining quantum computing with advanced AI tasks, the state-affiliated Global Times reported. The experiment was conducted on a superconducting quantum computer called Origin Wukong, which runs on a domestically built 72-qubit chip. According to Global Times, the fine-tuning task showed that quantum hardware could improve model training performance — even when the number of model parameters was drastically reduced — offering a potential solution to mounting demands for computing power. Origin Wukong is operated by the Anhui Quantum Computing Engineering Research Center, which described the development on Monday. The center said a single batch of input data can trigger hundreds of quantum tasks simultaneously, enabling parallel processing at scale. In one trial, the team fine-tuned a billion-parameter model using Origin Wukong, the newspaper reports. On a psychological counseling dialogue dataset, the resulting model showed a 15 percent drop in training loss, a key metric for how well a model is learning. In a separate task focused on mathematical reasoning, the model’s accuracy jumped from 68 percent to 82 percent.

Full report : Chinese scientists used a domestically developed quantum computer to fine-tune a billion-parameter AI model, claiming this as a global first.