Quantum machine learning is moving from theory to practice, with hybrid quantum-classical systems showing promising results in fields like image recognition, forecasting, and drug discovery. Recent ...

"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 ...

When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...

Pushing against years of scepticism, an analysis suggests quantum computers may offer real advantages for running machine ...

New hybrid quantum applications show quantum computing’s ability to optimize materials science properties using Quantum-Enhanced Generative Adversarial Networks (QGANs) and fine-tune LLM models using ...

Quantum computing appears on track to help companies in three main areas: optimization, simulation and machine learning. The appeal of quantum machine learning lies in its potential to tackle problems ...

Quantum market growth projections gain momentum McKinsey’s 2025 Quantum Technology Monitor projects the combined quantum computing, communication, and sensing markets could generate up to $97 billion ...

Goldman Sachs (NYSE: GS) and JPMorgan Chase (NYSE: JPM), two of Wall Street's banking giants, have chosen sharply different ...

QC Ware hosts the 5th Q2B conference in Tokyo to connect the Asian and global quantum technology landscape and bring together quantum industry experts across computing, AI, telecommunications, sensing ...

We are looking for a Doctoral Researcher for Quantum-inspired tensor network machine learning solvers for super-moiré van der Waals materials.