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 …

Quantum computers are expected to surpass the computational capabilities of classical
computers during this decade and have transformative impact on numerous industry sectors …

Quantum computing promises to be the next disruptive technology, with numerous possible
applications and implications for organizations and markets. Quantum computers exploit …

We present lambeq, the first high-level Python library for Quantum Natural Language
Processing (QNLP). The open-source toolkit offers a detailed hierarchy of modules and …

In this paper, we discuss the initial attempts at boosting understanding human language
based on deep-learning models with quantum computing. We successfully train a quantum …

Quantum computing with its inherent parallelism provides a quantum advantage over
classical computing. Its potential to offer breakthrough advances in various areas of science …

The meeting between Natural Language Processing (NLP) and Quantum Computing has
been very successful in recent years, leading to the development of several approaches of …

An emerging direction of quantum computing is to establish meaningful quantum
applications in various fields of artificial intelligence, including natural language processing …

Inference is the task of drawing conclusions about unobserved variables given observations
of related variables. Applications range from identifying diseases from symptoms to …

The quest for quantum advantage, wherein quantum computers surpass the computational
capabilities of classical computers executing state-of-the-art algorithms on well-defined …