Center for Nanoscale Materials researchers present a quantum model for achieving ground-state cooling in low frequency mechanical resonators and show how cooperativity and entanglement are key factors to enhance the cooling figure of merit.
In a study published in Small, Center for Nanoscale Materials researchers created a protocol for controlling shell morphology in water-processed semiconductor nanoparticles and revealed the dependence of charge separation efficiency on shell morphology.
Two new methods reduce noise and remove errors in quantum observables by focusing on individual noise sources. They add little qubit overhead and can be used in quantum sensing and general quantum experimentation, as well as quantum computing.
In a Nature Communications article, a team led by Center for Nanoscale Materials researchers introduces a machine learning workflow of models for water transformations that increases accuracy at lower computational cost.
Using a single actuation signal, a frequency comb is generated in a micromechanical resonator from two vibrational modes, flexural and torsional, whose interactions are responsible for the unique response.
In a study published in Science, researchers’ findings enable a broad exploration of synthetic 2D polymer structures and properties. This work was a multidisciplinary team effort including DOE’s CNM and APS user facilities at Argonne.