After selling his AI startup to AMD for $665 million, Peter Sarlin is back with Qutwo, a new venture building the infrastructure it believes enterprises will need when quantum computing finally ...

quimb is an easy but fast python library for quantum information and many-body calculations, including with tensor networks. The code is hosted on github, do please submit any issues or pull requests ...

Scale Computing, a provider of edge computing and network solutions, has agreed to acquire Adaptiv Networks, an SD-WAN and SASE provider. The acquisition will extend Scale Computing’s SC//AcuVigil ...

Abstract: Hybrid Quantum Neural Networks (HQNNs) offer promising potential of quantum computing while retaining the flexibility of classical deep learning. However, the limitations of Noisy ...

Quantum computing stocks continued to sell off Thursday, leaving Quantum Computing (QUBT) as the only U.S.-listed quantum name still holding a Buy rating despite the sector-wide retreat, according to ...

Artificial intelligence (AI) and quantum computing offer tantalizing addressable markets that can lead to a long list of winners. Billionaire money managers have been paring down their stake in the ...

The unveiling by IBM of two new quantum supercomputers and Denmark's plans to develop "the world's most powerful commercial quantum computer" mark just two of the latest developments in quantum ...

IonQ's trapped-ion quantum computers currently have an accuracy advantage over the competition. D-Wave Quantum's niche approach makes it a worthy investment. The quantum computing space is full of ...

Quantum computers struggle because their qubits are incredibly easy to disrupt, especially during calculations. A new experiment shows how to perform quantum operations while continuously fixing ...

Abstract: Quantum neural networks (QNNs) are gaining attention as a promising foundation for next-generation machine learning. However, the practical deployment of QNNs, particularly in vision tasks, ...