In the past decades, field-programmable gate arrays (FPGAs) have demonstrated an
interesting physical platform to facilitate quantum information processing, particularly in the …

Arbitrary precision computing (APC), where the digits vary from tens to millions of bits, is
fundamental for scientific applications, such as mathematics, physics, chemistry, and …

Quantum computing has been considered as an emerging approach in addressing
problems which are not easily solvable using classical computers. In parallel to the physical …

The lately attack on the Qualcomm's Snapdragon chip reminds us security risks related to
digital arithmetic circuits. Most system designers neglect the employed computer arithmetic …

Approximate logic synthesis techniques have become popular in error-resilient systems,
where accuracy requirements can be traded for improved energy efficiency. Many of these …

In recent years, quantum computers have attracted extensive research interests due to their
potential capability of solving problems which are not easily solvable using classical …

Stochastic gradient descent has been a widely used machine learning algorithm, and
interest in low-precision SGD is growing because it improves throughput and keeps efficient …

Approximate computing techniques for error-tolerant machine learning applications are
gaining interest, promising a energy-accuracy balance for modern digital computing …

In our recent work on iterative computation in hardware, we showed that arbitrary-precision
solvers can perform more favorably than their traditional arithmetic equivalents when the …

Ternary logic has attracted significant attention due to its higher data density and balanced
number representation. Even though tremendous endeavor has been devoted to developing …