Variational quantum computing schemes train a loss function by sending an initial state
through a parametrized quantum circuit, and measuring the expectation value of some …

AFV CoverSheet Page 1 LA-UR-23-30483 Accepted Manuscript A Lie algebraic theory of
barren plateaus for deep parameterized quantum circuits Cerezo de la Roca, Marco Vinicio …

Variational quantum computing offers a flexible computational paradigm with applications in
diverse areas. However, a key obstacle to realizing their potential is the Barren Plateau (BP) …

We present a classical algorithm for estimating expectation values of arbitrary observables
on most quantum circuits across all circuit architectures and depths, including those with all …

Quantum computing promises to provide the next step up in computational power for diverse
application areas. In this review, we examine the science behind the quantum hype, and the …

We report the first search for the elastic scatterings between cosmic-ray boosted sub-MeV
dark matter (DM) and electrons in the PandaX-4T liquid xenon experiment. Sub-MeV DM …

We introduce an quantum-classical hybrid algorithm, named automatic quantum circuit
encoding (AQCE), that is designed to encode an arbitrary quantum state| Ψ〉 onto an …

Quantum tangent kernel methods provide an efficient approach to analyzing the
performance of quantum machine learning models in the infinite-width limit, which is of …

Abstract Machine learning tasks are an exciting application for quantum computers, as it has
been proven that they can learn certain problems more efficiently than classical ones …

We study the dynamics of a classical circuit corresponding to a discrete-time version of the
kinetically constrained East model. We show that this classical “Floquet-East” model …