Harvard College

Massachusetts Institute of Technology

California Institute of Technology

Leo Zhou

Mikhail D Lukin

Soonwon Choi

Shengtao Wang

Manuel Endres

Donggyu Kim

Vladan Vuletic

Hannes Bernien

Harry Jay Levine

Alexander Keesling Contreras

Ahmed Omran

Alexander S Zibrov

Markus Greiner

Hannes Pichler

Sylvain Schwartz

Systems and methods relate to selectively arranging a plurality of qubits into a spatial structure to encode a quantum computing problem. Exemplary arrangement techniques can be applied to encode various quantum computing problems. The plurality of qubits can be driven according to various driving techniques into a final state. The final state can be measured to identify an exact or approximate solution to the quantum computing problem.

Quantum computing for combinatorial optimization problems using programmable atom arrays

Systems and methods relate to arranging atoms into 1D and/or 2D arrays; exciting the atoms into Rydberg states and evolving the array of atoms, for example, using laser manipulation techniques and high-fidelity laser systems described herein; and observing the resulting final state. In addition, refinements can be made, such as providing high fidelity and coherent control of the assembled array of atoms. Exemplary problems can be solved using the systems and methods for arrangement and control of atoms.

Neutral atom quantum information processor

Growing community of inventors

Somerville, MA, United States of America

Leo Zhou