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 ...

Modern AI excels at pattern recognition but suffers when faced with logical reasoning tasks. What happens when we ask a neural network to solve a Sudoku puzzle from an image, verify a mathematical ...

From the UCSB The Current article "Innovative Hardware for Rapidly Solving High-order Optimization Problems" The rise of AI, graphic processing, combinatorial optimization, and other data-intensive ...

D-Wave says its new Advantage2 processor, which is designed for complex applications in AI, optimization and data science, is faster and more accurate than its existing 5,000-qubit system. When you ...

I consider myself a computer science (CS) theoretician, but Wikipedia describes me as a “mathematician and computer scientist.” a So, what am I? To answer that question, we must consider theoretical ...

This paper examines the effectiveness of modern universal gate quantum computers in solving the Boolean Satisfiability (B-SAT) problem using Grover's Search algorithm. Experiments were conducted with ...

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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 ...

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, ...