A hybrid quantum-classical LSTM model achieved the highest reported accuracy for male infertility risk prediction while ...

A hybrid quantum-classical model outperformed XGBoost and other classical baselines in predicting ICU mortality across nearly ...

The computational demands of today’s AI systems are starting to outpace what classical hardware can deliver. How can we fix this? One possible solution is quantum machine learning (QML). QML ...

Quantum computing is attracting fresh investment as technology companies accelerate development timelines and governments ...

As quantum computing continues to advance, so too are the algorithms used for quantum machine learning, or QML. Over the past few years, practitioners have been using variational noisy ...

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 ...

Artificial intelligence (AI) has become integral to our daily lives, from virtual assistants like Siri to personalized recommendations on Netflix. As AI technology advances, quantum machine learning ...

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 ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

A concept from the field of quantum mechanics, spin is a property of particles that has no direct counterpart in everyday ...