Quantum simulation of fundamental particles and forces
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 …
subatomic and astrophysical environments—arise from the underlying fundamental …
Theoretical guarantees for permutation-equivariant quantum neural networks
Despite the great promise of quantum machine learning models, there are several
challenges one must overcome before unlocking their full potential. For instance, models …
challenges one must overcome before unlocking their full potential. For instance, models …
Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing
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 …
phenomenon. In this perspective article, we face the increasingly loud elephant in the room …
On the universality of sn-equivariant k-body gates
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 …
Science home Accessibility Help Search Journals Journals list Browse more than 100 …
Optimal protocols for quantum metrology with noisy measurements
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 …
preprocessing protocols that apply quantum controls to the quantum sensor state prior to the …
Effects of noise on the overparametrization of quantum neural networks
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 …
learning. Recently, there have been several efforts to study if, and how, quantum neural …
Efficient quantum-enhanced classical simulation for patches of quantum landscapes
Understanding the capabilities of classical simulation methods is key to identifying where
quantum computers are advantageous. Not only does this ensure that quantum computers …
quantum computers are advantageous. Not only does this ensure that quantum computers …
More buck-per-shot: Why learning trumps mitigation in noisy quantum sensing
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 …
However, reaching the ultimate sensitivities enabled by the laws of quantum mechanics can …
Hierarchy of multipartite correlations based on concentratable entanglement
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 information processing. In this work we show that concentratable entanglement …
Predicting properties of quantum systems by regression on a quantum computer
A Kardashin, Y Balkybek, K Antipin… - arXiv preprint arXiv …, 2024 - arxiv.org
Quantum computers can be considered as a natural means for performing machine learning
tasks for labeled data which are inherently quantum. Many quantum machine learning …
tasks for labeled data which are inherently quantum. Many quantum machine learning …