QuantRS2 (/kwɒntərz tu:/) is a comprehensive Rust-based quantum computing framework that provides a modular, high-performance toolkit for quantum simulation, algorithm development, and hardware ...

Abstract: Extreme meteorological phenomena (e.g., cold waves) are low-probability, high-impact events that present significant operational and dispatch challenges for new-energy power systems. 1) ...

In this article, we mainly focus on the paper, “ Risk-Sensitive Compact Decision Trees for Autonomous Execution in Presence of Simulated Market Response ”, to discuss how Machine Learning helps us get ...

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Abstract: The linearization of the optimal power flow (OPF) model is widely-used to meet the computational demands of power system dispatch. To improve the accuracy ...

This paper presents a method of equilibrium path analysis and stability analysis of an equilibrium state for a rigid origami, which consists of rigid flat faces connected by straight crease lines ...

As data analytics has become an important application for modern data management systems, a new category of data management system has appeared recently: the scalable linear algebra system. We argue ...

Partial differential equations (PDEs) are among the most ubiquitous tools used in modeling problems in nature. However, solving high-dimensional PDEs has been notoriously difficult due to the “curse ...

Quantum annealing algorithms belong to the class of metaheuristic tools, applicable for solving binary optimization problems. Hardware implementations of quantum annealing, such as the quantum ...