The rapid progress in digitalization and automation have led to an accelerated growth in
healthcare, generating novel models that are creating new channels for rendering treatment …

Advances in materials science and engineering have played a central role in the
development of classical computers and will undoubtedly be critical in propelling the …

Driven by the rapid progress in quantum hardware, recent years have witnessed a furious
race for quantum technologies in both academia and industry. Universal quantum …

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 …

In the current noisy intermediate-scale quantum (NISQ) era, quantum machine learning is
emerging as a dominant paradigm to program gate-based quantum computers. In quantum …

We explore the possibility to perform symmetry restoration with the variation after projection
technique on a quantum computer followed by additional postprocessing. The final goal is to …

Computational complexities in modern power systems are reportedly increasing daily, and it
is anticipated that traditional computers might be inadequate to provide the computation …

Abstract The Information Security Management Systems (ISMS) are global and risk-driven
processes that allow companies to develop their cybersecurity strategy by defining security …

Starting from the quantum-phase-estimate (QPE) algorithm, a method is proposed to
construct entangled states that describe correlated many-body systems on quantum …

Tensor networks (TNs) and neural networks (NNs) are two fundamental data modeling
approaches. TNs were introduced to solve the curse of dimensionality in large-scale tensors …