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 …
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 …
Optical Quantum Sensing for Agnostic Environments via Deep Learning
Optical quantum sensing promises measurement precision beyond classical sensors termed
the Heisenberg limit (HL). However, conventional methodologies often rely on prior …
the Heisenberg limit (HL). However, conventional methodologies often rely on prior …
Separable Power of Classical and Quantum Learning Protocols Through the Lens of No-Free-Lunch Theorem
The No-Free-Lunch (NFL) theorem, which quantifies problem-and data-independent
generalization errors regardless of the optimization process, provides a foundational …
generalization errors regardless of the optimization process, provides a foundational …
Development of a classification architecture for images represented using Quantum theory:* using ibm qiskit liberaries
Quantum image processing is paramount in image processing-based research areas
nowadays due to the less computational time. This paper presents the quantum mechanic …
nowadays due to the less computational time. This paper presents the quantum mechanic …