hybrid quantum-classical computing

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papersSEP 12 04:00 UTC

arXiv paper proposes automating QUBO formulation from natural language

A new arXiv preprint describes a method for generating Quadratic Unconstrained Binary Optimization formulations directly from natural language descriptions. QUBO is widely used in combinatorial optimization and works with quantum, hybrid quantum-classical, and quantum-inspired solvers. The work aims to remove the manual effort of translating problem statements into QUBO form.

quantum/optimization/research/nlp

papersSEP 10 04:00 UTC

Study examines hybrid quantum-classical NLP classification using compressed semantic embeddings

A new arXiv paper tackles the mismatch between high-dimensional text embeddings and the limited input capacity of near-term quantum circuits. The authors experiment with compressing semantic representations so they can feed into hybrid quantum-classical classifiers for NLP tasks. The work offers an empirical look at how much representation reduction is viable for quantum machine learning applications.

quantum-computing/nlp/embeddings/research