Alán Aspuru-Guzik

TL;DR: It is demonstrated that the nanoconfinement effect combined with the flow-enhanced crystal engineering technique is a powerful and likely material-agnostic method to identify existing polymorphs in OSC materials and to prepare the individual pure forms in thin films at ambient conditions.

TL;DR: This work develops a variational adiabatic ansatz and explores unitary coupled cluster where it is shown how the use of modern derivative free optimization techniques can offer dramatic computational savings of up to three orders of magnitude over previously used optimization techniques.

TL;DR: This work uses a solid-state quantum register realized in a nitrogen-vacancy defect in diamond to compute the bond dissociation curve of the minimal basis helium hydride cation, HeH(+), with an energy uncertainty of 10(-14) hartree, which is 10 orders of magnitude below the desired chemical precision.

TL;DR: A small quantum circuit is proposed that naturally simulates neurons with threshold activation and defines a building block, the "quantum neuron", that can reproduce a variety of classical neural network constructions while maintaining the ability to process superpositions of inputs and preserve quantum coherence and entanglement.