The Boolean satisfiability problem (SAT) asks whether a given logical formula can be made true by assigning values to its variables. As the canonical NP-complete decision problem, SAT underpins a vast ...

This paper proposes a quantum algorithm for solving the tautology and the satisfiability problems for a Boolean formula. Let’s say we are given a Boolean formula. The variables of the Boolean formula ...

Practice projectile motion with fully solved physics problem examples. This video walks through step-by-step solutions to help you understand equations, motion components, and problem-solving ...

Unified repository for Spectral Complexity Theory — papers, tools, datasets, and the visualization platform for analyzing problem solvability and logical structure.

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

Using Javascript to configure the new approach to how to handle and sort large dataset known as SAT often referred to as Boolean satisfiability in a timeframe using predetermined results to speed ...

Problems continuously arise in organizational life, making problem-solving an essential skill for leaders. Leaders who are good at tackling conundrums are likely to be more effective at overcoming ...

To solve tough problems at work, first ask these questions. Problem solving skills are invaluable in any job. But all too often, we jump to find solutions to a problem without taking time to really ...

It’s important to remember that what you read in this article will be irrelevant to most people, most likely including you. Thanks to Carnegie Mellon’s draconian swipe-ID policies, I can be very ...

A printer is a wonderful thing when it works, making your life easier by providing lightweight, foldable documents you can tuck in a folder or jam into a pocket. Unfortunately, even the best printers ...

We are interested in benchmarking both quantum annealing and classical algorithms for minimizing quadratic unconstrained binary optimization (QUBO) problems. Such problems are NP-hard in general, ...