The development of quantum processors for practical fluid flow problems is a promising yet distant goal. Recent advances in quantum linear solvers have highlighted their potential for classical fluid ...

Abstract: Digital multiplication is an important task in various computer applications, and increasing its performance is essential to enhance performance and power consumption. This article presents ...

Abstract: As artificial intelligence (AI) and computational models grow in scale, the demand for computational power and storage has significantly increased. The computing-in-memory (CIM) architecture ...