Quantum machine learning is a rapidly growing field at the intersection of quantum
technology and artificial intelligence. This review provides a two-fold overview of several key …

Abstract Quantum Natural Language Processing (QNLP) deals with the design and
implementation of NLP models intended to be run on quantum hardware. In this paper, we …

Nowadays, natural language processing (NLP) is one of the most popular areas of, broadly
understood, artificial intelligence. Therefore, every day, new research contributions are …

In this paper, we develop compositional vector-based semantics of positive transitive
sentences using quantum natural language processing (Q-NLP) to compare the …

Quantum computing is a speedily emerging area that applies quantum mechanics
properties to solve complex problems that are difficult for classical computing. Machine …

Natural language processing (NLP) is at the forefront of great advances in contemporary AI,
and it is arguably one of the most challenging areas of the field. At the same time, in the area …

Abstract Design and development of new drug molecules are essential for the survival of
human society. New drugs are designed for therapeutic purposes to combat new diseases …

This is a story about making quantum computers speak, and doing so in a quantum-native,
compositional and meaning-aware manner. Recently we did question-answering with an …

The main goal of this master's thesis is to introduce Quantum Natural Language Processing
(QNLP) in a way understandable by both the NLP engineer and the quantum computing …

In the field of network security, although there has been related work on software
vulnerability detection based on classic machine learning, detection ability is directly …