Experienced trader and quantitative strategist, specializing in strategic market analysis, explains how cognitive patterns ...

QNNs achieved 95 percent accuracy, while QSVMs reached 94 percent, both surpassing classical machine learning methods, which ...

Starbucks is focused on applying data and AI to enable strategic decision-making through customer-centric, data-driven ...

Quantum researchers have deployed a new algorithm to manage noise in qubits in real time. The method can be applied to a wide range of different qubits, even in large numbers. Noise is the "ghost in ...

One of the most complex areas for sell-side execution desks today is dealing with client algorithms, according to the Acuiti’s Q3 Sell-Side Execution Management Insight Report. According to the ...

The original version of this story appeared in Quanta Magazine. One July afternoon in 2024, Ryan Williams set out to prove himself wrong. Two months had passed since he’d hit upon a startling ...

As CPA firms grow into the $10 million to $100 million revenue range, operational complexity increases, especially during peak periods like tax season. Leadership must prioritize strategies to reduce ...

A collection of my daily solutions to algorithm problems from platforms like LeetCode and Codewars. Focused on consistency, problem-solving, and learning.

Real-world statistical systems are often complex, and efficiently detecting minor anomalies can be the key to avoiding catastrophe. For example, small timescale changes in the current and voltage ...