What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...

Researchers at the University of Innsbruck, together with partners from Sydney and Waterloo, have presented a new diagnostic method for quantum computers. It makes errors in individual quantum bits ...

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: 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 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, ...