--- title: 'Comparing Natural Language Processing and Quantum NLP: Research Published' subtitle: 'Peer-reviewed study in Expert Systems with Applications' summary: 'Published peer-reviewed research comparing classical and quantum approaches to natural language processing in Expert Systems with Applications. Demonstrated that quantum NLP models can obtain the same or better results for simpler text classification tasks, with experiments utilizing up to 7 qubits across multiple classification scenarios.' authors: - juancb tags: - Quantum Computing - Natural Language Processing - Quantum NLP - Research - Machine Learning - AI for Quantum categories: - Quantum Computing - Artificial Intelligence - Research date: "2024-06-06T08:00:00Z" lastmod: "2024-06-06T08:00:00Z" featured: true draft: false # Featured image # To use, add an image named `featured.jpg/png` to your page's folder. # Placement options: 1 = Full column width, 2 = Out-set, 3 = Screen-width # Focal point options: Smart, Center, TopLeft, Top, TopRight, Left, Right, BottomLeft, Bottom, BottomRight image: placement: 2 caption: 'Quantum NLP Research' focal_point: "Smart" preview_only: false # Projects (optional). # Associate this post with one or more of your projects. # Simply enter your project's folder or file name without extension. # E.g. `projects = ["internal-project"]` references `content/project/deep-learning/index.md`. # Otherwise, set `projects = []`. projects: [] --- Excited to share our peer-reviewed publication "Comparing Natural Language Processing and Quantum Natural Processing approaches in text classification tasks"! 🚀 This collaborative work with David Peral García and Francisco José García-Peñalvo has been published in *Expert Systems with Applications*. Key findings: - ✅ Quantum NLP models can obtain the same or better results in some datasets for simpler text classification tasks like entity recognition and sentiment analysis - ✅ Performance diminishes with increased label complexity and sentence difficulty - ✅ Experiments utilized up to 7 qubits and tested on both new and existing datasets across multiple classification scenarios While the results are promising, we identified that advancing to larger-scale quantum applications requires more powerful quantum hardware and sophisticated software infrastructure. This research contributes to our understanding of where quantum computing can provide advantages in natural language processing tasks and highlights the path forward for future developments. Read the full paper on [ScienceDirect](https://www.sciencedirect.com/science/article/pii/S0957417424012934/pdfft?md5=97c5788dcf43d930dd7c41c2ee72d05e&pid=1-s2.0-S0957417424012934-main.pdf). [DOI](https://doi.org/https://doi.org/10.1016/j.eswa.2024.124427) --- *Originally shared on [LinkedIn](https://www.linkedin.com/posts/juancb_comparing-natural-language-processing-and-activity-7208402743756042240-RRIS) on June 17, 2024 - 19 reactions, 0 comments as of 11/12/2025*