Mekena Metcalf and Huo Chen are developing theoretical models to couple with quantum machine learning frameworks.
Credit: Bert de Jong, Mekena Metcalf/Berkeley Lab
Alec Jenkins and Joanna Lis align laser light onto a quantum system of neutral atoms.
Credit: Kaufman group/University of Colorado Boulder
Researchers adjust the optics for a cryogenic vacuum chamber used to trap calcium ions and measure the electric field noise that excites an ion out of its ground state.
Credit: Dan Stick/Sandia National Laboratories
Dan Stamper-Kurn and Scott Eustice in the E8 Ultracold Atomic Physics lab.
Credit: Keegan Houser/University of California, Berkeley
Tackling Tough Questions
What quantum advantage do we expect from imperfect, small-scale quantum hardware?
How do we build different programmable quantum systems and for what applications are they naturally suited?
Into what future architectures should we invest in order to achieve universal computation?
Quantum mechanics predicts that matter can be correlated to a degree which is not naturally observed in nature. QSA will address how this complexity can be transformed into an engineering resource.
QSA will establish the precision tools to control naturally occurring atomic qubits and better engineered superconducting qubits for existing classical controls.
QSA will nucleate a new branch of engineering, establish metrics, benchmarks, and technology roadmaps to guide industry and bring quantum from the laboratory to the factory.
QSA will establish a stable platform for cooperative research and a launchpad for young and mid-career scientists and engineers.
By using two-dimensional arrays of individually focused laser beams called optical tweezers, researchers can arrange images of forty-two atoms to spell out QSA. (Credit: Tout Wang, Lukin Group/Harvard University)