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 ...

Abstract: Image classification was revolutionized by classical neural networks, driven by GPU acceleration. This raises the question of what advantages quantum resources could offer for such tasks.

Quantum technology has long been a buzzworthy topic at industry conferences, but practical applications have often seemed far off. However, Joseph Lukens, an Associate Professor at Purdue University, ...

For decades, the solution to harder problems has been ‘build a bigger computer’— but what if this is the wrong strategy altogether? This is because some problems defeat computers, not because they are ...

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. IonQ and D-Wave Quantum are great ...

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, ...