quantum computing/ A0365B Foundations, theory of quantum measurement, miscellaneous quantum theories C4270 Quantum computing theory C4220 Automata theory C4210L Formal languages and computational linguisticsKravtsev introduced 1-way quantum 1-counter automata (1Q1CAs), and showed that several non-...
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 ...
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. Real-World Process: This could be used in...
in 2023 IEEE International Conference on Quantum Computing and Engineering (QCE). 2023. Papineni, K., et al., BLEU: a method for automatic evaluation of machine translation, in Proceedings of the 40th Annual Meeting on Association for Computational Linguistics. 2002, Association for Computational ...
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text spanned by a set of orthogonalbasis states\(\{\vert e\rangle \}^{n}_{j=1}\)referring to a finite closed set of sememes\(\{e\}^{n}_{j=1}\), which are defined as the minimal non-separable semantic units of human languages in linguistics, for representing any quantum state...
Bender, a linguistics professor at the University of Washington, explains in the latest episode of the Fiction Science podcast.“It sells the tech as more than it is — because instead of this being a system for, for example, automatically transcribing or automatically adjusting the sound levels...
Those include, just for a few examples, investigations on the quantum interpretation of the world phenomena [104], applications of quantum ideology in management sciences [105], quantum computing in the arts and humanities [106], methods of quantum machine learning [107], and the general ...
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 ...
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...