Neutral atom arrays, particularly the reconfigurable field programmable qubit arrays (FPQA)
with atom movement, show strong promise for quantum computing. FPQA has a dynamic …

Quantum hardware suffers from high error rates and noise, which makes directly running
applications on them ineffective. Quantum Error Correction (QEC) is a critical technique …

On the universality of Sn -equivariant k-body gates - IOPscience Skip to content IOP
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Quantum state preparation, a crucial subroutine in quantum computing, involves generating
a target quantum state from initialized qubits. Arbitrary state preparation algorithms can be …

Recent developments in the field of quantum machine learning have promoted the idea of
incorporating physical symmetries in the structure of quantum circuits. A crucial milestone in …

The neutral atom array has gained prominence in quantum computing for its scalability and
operation fidelity. Previous works focus on\textit {fixed} atom arrays (FAA) that necessitate …

The importance of symmetries has recently been recognized in quantum machine learning
from the simple motto: if a task exhibits a symmetry (given by a group G), the learning model …

Machine learning algorithms are heavily relied on to understand the vast amounts of data
from high-energy particle collisions at the CERN Large Hadron Collider (LHC). The data …

Symmetries are crucial for tailoring parametrized quantum circuits to applications, due to
their capability to capture the essence of physical systems. In this work, we shift the focus …

Quantum computing has the potential to solve problems that are intractable for classical
systems, yet the high error rates in contemporary quantum devices often exceed tolerable …