ABSTRACT: 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 ...

Executives are increasingly enamored with the promise of an AI-driven transformation and have invested accordingly. Most large-scale companies have initiated hundreds of pilots and provided widespread ...

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 ...

When Apple released iOS 26 back in September, many iPhone users were eager to try its new customizations, features, and security updates. But, as with major software transitions, the launch hasn't ...

Abstract technology image of AI robot installing binary data from node stream of dynamic array. Contributor We’re now deep into the AI era, where every week brings another feature or task that AI can ...

You probably don’t need more time. By Jancee Dunn When I look back on all the major decisions I’ve dithered over, I could scream. It took me a decade to commit to becoming a parent. I wavered for a ...

Abstract: The Boolean formula satisfiability problem (SAT) plays a fundamental role in many practical applications, but is computationally challenging due to its NP-hard nature. Leveraging cloud ...

The busy box that is your brain is hard at work all day long—and it doesn’t quit when you’re asleep. Not only does your brain fill your slumber with dreams, it also goes right on solving the problems ...

Plug-in hybrid electric vehicles (PHEVs) have the most problems of any category of new vehicles, reports J.D. Power in the 2025 U.S. Initial Quality Study. That includes more problems than their ...

Entrepreneurs who build successful businesses often possess a unique ability to see what others don't—the critical bottlenecks hiding in plain sight that create frustration, inefficiency, and lost ...

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