Variational Quantum Transformer Architecture for Synthetic Language Generation

arXiv:2609.18565 · quant-ph, cs.CL, cs.LG · Submitted 2026-09-16 · Read on arXiv

quant-ph, cs.CL, cs.LG

Submitted: 2026-09-16

Updated: 2026-09-16

Comments: Accepted for publication in the QNLPAI 2026 proceedings (Springer Lecture Notes in Computer Science, LNCS). 10 pages, including references and appendix, 2 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Transformer — 37× in this paper · explained in 2 episodes
• Transformer Architecture — 9× in this paper · explained in 2 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• Quantum Circuits — 6× in this paper · explained in 2 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Ancilla Qubits — 1× in this paper · explained in 1 episode
• Entanglement — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes

Sources

• Quantum Natural Language Processing on Near-Term Quantum Computers
• PennyLane: Automatic differentiation of hybrid quantum-classical computations
• Quantum Transformer: Accelerating model inference via quantum linear algebra
• Quixer: A Quantum Transformer Model
• Quantum Natural Language Generation on Near-Term Devices
• QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer
• lambeq: An Efficient High-Level Python Library for Quantum NLP

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