With quantum computers being out of reach for now, quantum simulators are the alternative devices for efficient and more exact simulation of problems…

This article presents a new method to compute matrices from numerical simulations based on the ideas of sparse sampling and compressed sensing. The m…

Chemical reactions can be surprisingly efficient at ultracold temperatures ( < 1mK) due to the wave nature of atoms and molecules. The study of react…

The dissipative dynamics of many-electron systems interacting with a thermal environment has remained a long-standing challenge within time-dependent…

Chemical reactions typically proceed via stochastic encounters between reactants. Going beyond this paradigm, we combine exactly two atoms into a sin…

Microscopically controlled neutral atoms in optical tweezers and lattices have led to exciting advances in the study of quantum information and quant…

In this work we develop a theory of correlated many-electron dynamics dressed by the presence of a finite-temperature harmonic bath. The theory is ba…

We show that an ensemble of organic dye molecules with permanent electric dipole moments embedded in a microcavity can lead to strong optical nonline…

The computational cost of exact methods for quantum simulation using classical computers grows exponentially with system size. As a consequence, thes…

Over the last few decades, quantum chemistry has progressed through the development of computational methods based on modern digital computers. Howev…

We propose a multiple descriptor multiple kernel (MultiDK) method for efficient molecular discovery using machine learning. We show that the MultiDK …

We report Raman sideband cooling of a single sodium atom to its three-dimensional motional ground state in an optical tweezer. Despite a large Lamb-D…

Mutation rate is a key determinant of the pace as well as outcome of evolution, and variability in this rate has been shown in different scenarios to…

Classical autoencoders are neural networks that can learn efficient low dimensional representations of data in higher dimensional space. The task of …

Energy transfer within photosynthetic systems can display quantum effects such as delocalized excitonic transport. Recently, direct evidence of long-…

In this report, we explore the use of a quantum optimization algorithm for obtaining low energy conformations of protein models. We discuss mappings …

We report a method to convert discrete representations of molecules to and from a multidimensional continuous representation. This model allows us to…

The investigation of energy transfer properties in photosynthetic multi-protein networks gives insight into their underlying design principles.Here, …

We present a quantum algorithm for simulating the dynamics of a first-quantized Hamiltonian in real space based on the truncated Taylor series algori…

The variational quantum eigensolver (VQE) algorithm combines the ability of quantum computers to efficiently compute expectations values with a class…

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