"Machine Learning in Quantum Sciences", outcome of a collaborative effort from world-leading experts, offers both an introduction to machine learning and deep neural networks, and an overview of their ...

AI focuses on learning patterns from data to make decisions; quantum computing focuses on raw computational power for complex problems like molecular simulation and code-breaking.

Researchers from Tel Aviv University have developed a new method for simulating complex quantum systems that can be combined with cutting edge AI techniques The density of 6 fermions in a 2D harmonic ...

Paul Lipman is Chief Strategy Officer at Infleqtion, leading growth and productization efforts at the cutting edge of quantum technology. As a teenager, I was offered sage guidance by a family friend ...

Qubits differ from classical bits, which are coded as only 0 or 1. A qubit can be a combination of both 0 and 1 simultaneously. One way to think of it is as a coin spinning between a 0 and a 1 axis.

Your phone finishes your sentences, your camera detects faces and your streaming app suggests songs you never thought you would want, thanks to classical AI systems. These are powerful logic engines: ...

The Seeker quantum processor from Quantum Circuits now supports Nvidia's CUDA-Q, enabling developers to combine quantum ...

Advancement to second stage of DARPA Quantum Benchmarking Initiative validates promise of Silicon Quantum Computing’s in-house manufacturing for building quantum computers using engineered atoms in ...

Scheduled for commercial availability by Q3 2026, the Kaveri chip is expected to power applications in cryptography, machine learning, optimisation and advanced simulations.

Introduction: The Portfolio Optimization Process Needs to Be Revamped. For decades, portfolio optimization has been the pinnacle of modern finance. In the 1950s, with the introduction of Harry ...