AUSTIN, Texas and TOKYO, Dec. 29, 2025 /PRNewswire/ -- According to DataM Intelligence, the Quantum Computing in Financial ...

where $l$ and $u$ are the lower and upper probability bounds, while $\phi$ and $\psi$ denote propositional logic formulas. For example the following two sentences ...

Abstract: Approximate hardware trades acceptable error for improved performance and previous literature focuses on optimizing this tradeoff in the hardware. We show ...

2024 IEEE International Conference on Quantum Computing and Engineering (QCE) The Quantum Approximate Optimization Algorithm (QAOA) has emerged as a promising tool for accelerating optimization ...

This package provides methods for Approximate Bayesian Computation (ABC) (sometimes also called simulation-based inference or likelihood-free inference). The algorithms are based on simulated ...

In the massive multiple-input and multiple-output (Massive MIMO) systems, the maximum likelihood (ML) detection problem is NP-hard and becoming classically intricate with the number of transmitting ...

A novel optimization technique enhances the speed and accuracy of Bayesian inference, streamlining scientific research by automating complex calculations and offering reliable uncertainty estimates.

1 Faculty of Computational Mathematics and Cybernetics, Shenzhen MSU-BIT University, Shenzhen, China. 2 Department of Algebra and Discrete Mathematics, Southern Federal University, Rostov-on-Don, ...

In recent years, significant progress has been made in building quantum computers by several companies. Despite the progress, these noisy intermediate-scale quantum (NISQ) computers still suffer from ...