NISQ computers: a path to quantum supremacy
M AbuGhanem, H Eleuch - IEEE Access, 2024 - ieeexplore.ieee.org
The quest for quantum advantage, wherein quantum computers surpass the computational
capabilities of classical computers executing state-of-the-art algorithms on well-defined …
capabilities of classical computers executing state-of-the-art algorithms on well-defined …
QNLP in practice: Running compositional models of meaning on a quantum computer
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 …
implementation of NLP models intended to be run on quantum hardware. In this paper, we …
Hyperoptimized approximate contraction of tensor networks with arbitrary geometry
Tensor network contraction is central to problems ranging from many-body physics to
computer science. We describe how to approximate tensor network contraction through …
computer science. We describe how to approximate tensor network contraction through …
Quantum-enhanced support vector machine for sentiment classification
FZ Ruskanda, MR Abiwardani, R Mulyawan… - IEEE …, 2023 - ieeexplore.ieee.org
Quantum computers have potential computational abilities such as speeding up complex
computations, parallelism by superpositions, and handling large data sets. Moreover, the …
computations, parallelism by superpositions, and handling large data sets. Moreover, the …
Towards compositional interpretability for xai
Artificial intelligence (AI) is currently based largely on black-box machine learning models
which lack interpretability. The field of eXplainable AI (XAI) strives to address this major …
which lack interpretability. The field of eXplainable AI (XAI) strives to address this major …
Simple sentiment analysis ansatz for sentiment classification in quantum natural language processing
FZ Ruskanda, MR Abiwardani, I Syafalni… - IEEE …, 2023 - ieeexplore.ieee.org
Sentiment classification is a valuable application of natural language processing that has
seen wide usage in optimizing business processes. This paper explores a novel …
seen wide usage in optimizing business processes. This paper explores a novel …
Quantum Natural Language Processing: A Comprehensive Survey
CM Varmantchaonala, JLEK Fendji, J Schöning… - IEEE …, 2024 - ieeexplore.ieee.org
By using the quantum mechanics phenomenon, quantum computers provide a new
dimension of computational power that drastically accelerates solving complex and resource …
dimension of computational power that drastically accelerates solving complex and resource …
Permutation invariant encodings for quantum machine learning with point cloud data
Quantum computing offers a potentially powerful new method for performing machine
learning. However, several quantum machine learning techniques have been shown to …
learning. However, several quantum machine learning techniques have been shown to …
Peptide binding classification on quantum computers
We conduct an extensive study on using near-term quantum computers for a task in the
domain of computational biology. By constructing quantum models based on parameterised …
domain of computational biology. By constructing quantum models based on parameterised …
Scalable and interpretable quantum natural language processing: an implementation on trapped ions
We present the first implementation of text-level quantum natural language processing, a
field where quantum computing and AI have found a fruitful intersection. We focus on the …
field where quantum computing and AI have found a fruitful intersection. We focus on the …