Key static and dynamic properties of matter—from creation in the Big Bang to evolution into
subatomic and astrophysical environments—arise from the underlying fundamental …

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 …

Despite the great promise of quantum machine learning models, there are several
challenges one must overcome before unlocking their full potential. For instance, models …

On the universality of Sn -equivariant k-body gates - IOPscience Skip to content IOP
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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 …

Understanding the capabilities of classical simulation methods is key to identifying where
quantum computers are advantageous. Not only does this ensure that quantum computers …

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 …

The No-Free-Lunch (NFL) theorem, which quantifies problem-and data-independent
generalization errors regardless of the optimization process, provides a foundational …

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 …

Quantum sensing is one of the most promising applications for quantum technologies.
However, reaching the ultimate sensitivities enabled by the laws of quantum mechanics can …