The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...

"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.

Quantum AI is an automated trading platform that leverages artificial intelligence, data analytics, and quantum computing ...

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 ...

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 ...

Telstra has completed a trial with Silicon Quantum Computing (SQC) that sought to apply quantum machine learning to boost network automation. The 12-month trial saw the pair leverage Watermelon, SQC’s ...

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.

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

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