Fast, accurate and arbitrage-free volatility surface fitting remains a core challenge for options desks. Fabrice Deschâtres ...

Quantum computing holds promise for complex financial modelling, but current technology is limited by noise and qubit count, with practical applications still years away, despite theoretical speed-ups ...

Introduction Envision our digital world as a sprawling universe filled with glittering constellations of encrypted data, each packet of information ...

Based on the paper by Taha and Anand: Variational Projection of Navier-Stokes: Fluid Mechanics as a Quadratic Programming Problem. Adapted from their provided MATLAB source code. Code is validated for ...

Welcome to the age of AI hacking, in which the right prompts make amateurs into master hackers.

In 2025, something unexpected happened. The programming language most notorious for its difficulty became the go-to choice ...

Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...

Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Criticall ...

Researchers at the University of Tuebingen, working with an international team, have developed an artificial intelligence that designs entirely new, sometimes unusual, experiments in quantum physics ...

Solves inverse kinematics with quadratic programming by minimizing joint accelerations under task-space constraints. Handles accelerations, speed and joints limits. Robustness against singularities — ...