If your New Year’s resolution is to understand quantum computing this year, take a cue from a 9-year-old podcaster talking to ...

An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...

Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...

Abstract: Recent advancements in quantum computing (QC) and machine learning (ML) have fueled significant research efforts aimed at integrating these two transformative technologies. Quantum machine ...

According to God of Prompt, advanced AI-driven learning platforms have been applied to areas such as quantum mechanics, supply and demand, LLM reasoning, and machine learning basics, demonstrating a ...

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from massive datasets and powering next-gen AI. That future might be closer than ...

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language translation. A quantum counterpart—known as a quantum convolutional neural ...

Integrating quantum computing into AI doesn’t require rebuilding neural networks from scratch. Instead, I’ve found the most effective approach is to introduce a small quantum block—essentially a ...

Quantum software startup Haiqu announced results from a trial this week demonstrating that current quantum computers could detect subtle financial anomalies that could indicate fraud more efficiently ...