This is the first of two parts. Here I take a real quantum-genomics method, run it on an open quantum stack, and wrap it in the governance a production workflow would actually need — as pure quantum ...

Combinatorial optimization underpins applications in artificial intelligence, logistics, and network design, yet classical techniques such as greedy search and dynamic programming struggle to balance ...

The Traveling Salesman Problem (TSP) is a classic NP-hard optimization challenge, requiring an efficient approach to identify near-optimal solutions. This paper presents a hybrid algorithm combining ...

In this article I provide a three (3) known programming interview questions each from Google, Amazon, Microsoft, and Netflix and seven (7) from miscellaneous interviews I've been on. Each is answered ...

Big O - upper bound Big Omega - lower bound Big Theta - upper and lower bound - that's what's usually used but called Big O. An ArrayList is implemented with an array. When the array hits capacity, ...

The alternative text for this image may have been generated using AI. A heuristic partially searches the PES for preferred configurations that are then locally minimized—success relies on identifying ...

I originally created this as a short to-do list of study topics for becoming a software engineer, but it grew to the large list you see today. After going through this study plan, I got hired as a ...

A solution to P vs NP could unlock countless computational problems—or keep them forever out of reach. 1. On Monday, July 19, 2021, in the middle of another strange pandemic summer, a leading computer ...