Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

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

Discover why Schwab U.S. Dividend Equity ETF's dividend growth is lagging, the impact of recent rebalancing, and if now’s the ...

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.