Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that ...

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...

Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Criticall ...

In statistical fine-mapping, signals stable across stratified subgroups can capture functionally important loci missed by covariate adjustment approaches, and prioritizing agreement between both ...

Abstract: This paper addresses the analytic Procrustes problem, which aims to find the best least-squares paraunitary approximation of a square matrix of analytic transfer functions, or the best ...

Abstract: Data-driven optimization problems (DDOPs) have become increasingly prevalent in real-world applications where analytical models are unavailable or expensive to evaluate. Data-driven ...

Although the potential applications of quantum computing are widespread, a new feasibility study suggests quantum computers ...

Learn how to solve problems using linear programming. A linear programming problem involves finding the maximum or minimum ...

Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...