Universal Quantum Transformer

arXiv:2606.00045 · cs.AI, cs.ET, quant-ph · Submitted 2026-04-29 · Read on arXiv

cs.AI, cs.ET, quant-ph

Submitted: 2026-04-29

Updated: 2026-09-25

Code: https://github.com/ax-ml/jax

Terminology

• Transformer — 40× in this paper · explained in 2 episodes
• Generalization — 27× in this paper · explained in 13 episodes
• Accuracy — 19× in this paper · explained in 1 episode
• Entanglement — 9× in this paper · explained in 4 episodes
• Universal Quantum Transformer — 8× in this paper
• Hilbert Space — 5× in this paper · explained in 2 episodes
• Embeddings — 4× in this paper · explained in 2 episodes
• Decode — 3× in this paper · explained in 2 episodes
• Fidelity — 3× in this paper · explained in 2 episodes
• Transformer Architecture — 3× in this paper · explained in 2 episodes
• AdamW Optimizer — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Compositional Generalization — 2× in this paper · explained in 4 episodes
• Core — 2× in this paper · explained in 2 episodes
• Quantum Circuits — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Ancilla Qubits — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Geometric Mismatch — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Inverse Quantum Fourier Transform — 1× in this paper
• Loss Function — 1× in this paper · explained in 2 episodes
• Parameter Efficiency — 1× in this paper · explained in 3 episodes
• Point Clouds — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes
• Zero-Shot Generalization — 1× in this paper · explained in 5 episodes

Sources

• Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets
• Grokking modular arithmetic
• Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware
• A Survey of Quantum Transformers: Architectures, Challenges and Outlooks
• Quantum Transformer: Accelerating model inference via quantum linear algebra
• Quixer: A Quantum Transformer Model
• Quantum computing with Qiskit

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