"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 ...

This collection supports and amplifies research related to SDG 9 - Industry, innovation and infrastructure. Quantum Machine Learning is currently listed as one of the most promising candidates for ...

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 ...

Quantum computing future explained through cryptography, optimization, and AI breakthroughs showing how quantum computing ...

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 ...

For years, progress in artificial intelligence has followed a simple rule: make it bigger ...

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...

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 ...

Artificial intelligence has long been seen as a way to supercharge drug development. | Artificial intelligence has long been seen as a way to supercharge drug development. But a whole new frontier of ...

Newly listed Xanadu Quantum Technologies, Inc. XNDU shares climbed on Thursday as investors cheered the company's debut on the Nasdaq. Xanadu is a photonic quantum computing company building a ...

The Defiance Quantum ETF (QTUM) targets companies linked to quantum computing and advanced technologies, with less reliance ...