QuPepFold is a Python package for hybrid quantum-classical protein folding simulations, designed to explore intrinsically ...

IBM Ventures has invested in BQP, bringing total funding to $8M and backing BQP's expansion from engineering design into real-time operational decisions. The investment extends a technical ...

Arqit Quantum looks overvalued at 397.6x FY26 EV/Sales amid dilution, cash burn, and execution risks. Read why ARQQ stock is ...

Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...

PRESS RELEASE — The travelling salesman problem may be the most well-known optimization problem. The problem challenges mathematicians to calculate the best route for a hypothetical salesperson. The ...

In large retail operations, category management teams spend significant time deciding which product goes onto which shelf and in which order. Shelf space is very expensive real estate in retail.

Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform classical systems on certain tasks. Over the past few decades, researchers ...

This work proposes a framework for global optimization, showing that global optimization is equivalent to optimal strategy formation in a two-armed decision problem with known distributions, based on ...