Despite the great promise of quantum machine learning models, there are several challenges one must overcome before unlocking their full potential. For instance, models …
A large amount of effort has recently been put into understanding the barren plateau phenomenon. In this perspective article, we face the increasingly loud elephant in the room …
S Kazi, M Larocca, M Cerezo - New Journal of Physics, 2024 - iopscience.iop.org
On the universality of Sn -equivariant k-body gates - IOPscience Skip to content IOP Science home Accessibility Help Search Journals Journals list Browse more than 100 …
Measurement noise is a major source of noise in quantum metrology. Here, we explore preprocessing protocols that apply quantum controls to the quantum sensor state prior to the …
Overparametrization is one of the most surprising and notorious phenomena in machine learning. Recently, there have been several efforts to study if, and how, quantum neural …
Multipartite entanglement is one of the hallmarks of quantum mechanics and is central to quantum information processing. In this work we show that concentratable entanglement …
X Wang, Y Du, K Liu, Y Luo, B Du, D Tao - arXiv preprint arXiv:2405.07226, 2024 - arxiv.org
The No-Free-Lunch (NFL) theorem, which quantifies problem-and data-independent generalization errors regardless of the optimization process, provides a foundational …
Quantum image processing is paramount in image processing-based research areas nowadays due to the less computational time. This paper presents the quantum mechanic …