Novel computational paradigms may provide the blueprint to help solving the time and
energy limitations that we face with our modern computers, and provide solutions to complex …

Solving computationally hard problems using conventional computing architectures is often
slow and energetically inefficient. Quantum computing may help with these challenges, but it …

Bayesian networks (BNs) find widespread application in many real-world probabilistic
problems including diagnostics, forecasting, computer vision, etc. The basic computing …

Extending Moore's law by augmenting complementary-metal-oxide semiconductor (CMOS)
transistors with emerging nanotechnologies (X) has become increasingly important. One …

The conventional computing method based on the von Neumann architecture is limited by a
series of problems such as high energy consumption, finite data exchange bandwidth …

Arithmetic plays a major role in a computer? s performance and efficiency. Building new
computing platforms supported by the traditional binary arithmetic and silicon-based …

As the energy and hardware investments necessary for conventional high‐precision digital
computing continue to explode in the era of artificial intelligence (AI), a change in paradigm …

As the rapid pace of Moore's Law has been slowing down, there has been intense activity to
“reinvent the transistor.” An emerging paradigm is to complement the existing …

The growing field of quantum computing is based on the concept of aq-bit, which is a
delicate superposition of 0 and 1, requiring cryogenic temperatures for its physical …

Abstract Prime factorization (P= M× N) is a promising application for quantum computing.
Shor's algorithm is a key concept for breaking the limit for analyzing P, which cannot be …