"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 ...

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.

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 ...

An international research team has released a detailed analysis of how machine learning approaches are improving the estimation and control of quantum systems. Their findings were published in the ...

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

Key Takeaways AI is generative software that “learns” patterns from data to make predictions or decisions.Quantum computing is a new kind of hardware that uses quantum bits (qubits) to process many ...

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 ...

Once fault tolerance is solved, IBM expects to scale its quantum computers up to 2000 quantum bits in 2033 and beyond. The company expects its quantum computers to have real-world applications in ...