Quantum-Encoded Linguistics: Speculative Application:Encoding the nuances of human language into quantum states to capture the subtleties of dialects, idioms, and cultural context, leading to breakthroughs in natural language processing and machine translation. ...
A Study of Entanglement in a Categorical Framework of Natural Language In both quantum mechanics and corpus linguistics based on vector spaces, the notion of entanglement provides a means for the various subsystems to communic... D Kartsaklis,M Sadrzadeh - 《Eprint Arxiv》 被引量: 31发表: ...
Continuous Innovation: Remaining at the forefront of quantum computing research and development to address emerging challenges and pioneer new solutions that push the boundaries of what is possible in the field. QuantumCog Command is dedicated to solving these problems, positioning itself as a leader ...
In recent years, central components of a new approach to linguistics, the Minimalist Program (MP) have come closer to physics. Features of the Minimalist P... M Piattelli-Palmarini,G Vitiello - 《Computer Science》 被引量: 10发表: 2015年 ...
direct quantum channel/ C4270 Quantum computing theory C4210L Formal languages and computational linguisticsWe develop a formal model for distributed measurement-based quantum computations, adopting an agent-based view, such that computations are described locally where possible. Because the network quantum...
A key challenge in the effort to simulate today’s quantum computing devices is the ability to learn and encode the complex correlations that occur between qubits. Emerging technologies based on language models adopted from machine learning have shown unique abilities to learn quantum states. We hig...
Image courtesy:https://medium.com/cambridge-quantum-computing/quantum-natural-language-processing-748d6f27b31d “One particularly interesting aspect of this graphical framework for linguistics was that the networks were inherited from previous work that provided quantum theory with an entirely network-like...
Stein [21] applied quantum natural language processing (QNLP) to sentiment analysis in the financial field, aiming to explore how to use quantum computing methods to improve the effectiveness of emotion analysis in the financial field. The density matrix is a fundamental concept in quantum ...
Furthermore, Google has introduced an open-source library for quantum machine learning, suggesting the potential for quantum computing to address fake and deepfake challenges in the near term [28]. However, this paper explores a distinct quantum approach that can complement the use of quantum ...
In Proc. 20th SIGNLL Conference on Computational Natural Language Learning 10–21 (Association for Computational Linguistics, 2015). Semeniuta, S., Severyn, A. & Barth, E. A hybrid convolutional variational autoencoder for text generation. In Proc. 2017 Conference on Empirical Methods in Natural ...