HyperQ: 64 Qubits Enable 1.1B Model to Surpass 8B Models in Zero-Shot Tasks

Researchers from Université de Montréal and Mila introduce HyperQ, a quantum-augmented diffusion language model that uses a hypernetwork to generate token-adaptive quantum circuits; with 64 qubits, a 1.1B parameter model outperforms 8B models on six zero-shot benchmarks, and circuits are validated on IBM's 156-qubit quantum cluster.

HyperQIBM quantum clusterZero-Shot Learning

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HyperQ: 64 Qubits Enable 1.1B Model to Surpass 8B Models in Zero-Shot Tasks

Machine Heart

Oct 23, 2026 · Artificial Intelligence

HyperQ: 64 Qubits Let 1.1B Diffusion Model Outperform 8B Models

HyperQ introduces per-token adaptive quantum circuits via a hypernetwork to augment diffusion language models; with 64 qubits, a 1.1B parameter model surpasses 8B models on six zero-shot tasks, and the quantum circuits are validated on IBM's 156-qubit cluster with minimal performance loss.

IBM quantum clusterZero-Shot LearningarXiv:2609.24657

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HyperQ: 64 Qubits Let 1.1B Diffusion Model Outperform 8B Models