|Title||Efficient Stabilized Two-Qubit Gates on a Trapped-Ion Quantum Computer|
|Publication Type||Journal Article|
|Year of Publication||2021|
|Authors||R. Blumel, N. Grzesiak, N. H. Nguyen, A. M. Green, M. Li, A. Maksymov, ii, N. M. Linke, and Y. Nam|
|Journal||Phys. Rev. Lett.|
|Date Published||JUN 4|
|Type of Article||Article|
In order to scale up quantum processors and achieve a quantum advantage, it is crucial to economize on the power requirement of two-qubit gates, make them robust to drift in experimental parameters, and shorten the gate times. Applicable to all quantum computer architectures whose two-qubit gates rely on phase-space closure, we present here a new gate-optimizing principle according to which negligible amounts of gate fidelity are traded for substantial savings in power, which, in turn, can be traded for substantial increases in gate speed and/or qubit connectivity. As a concrete example, we illustrate the method by constructing optimal pulses for entangling gates on a pair of ions within a trapped-ion chain, one of the leading quantum computing architectures. Our method is direct, noniterative, and linear, and, in some parameter regimes, constructs gate-steering pulses requiring up to an order of magnitude less power than the standard method. Additionally, our method provides increased robustness to mode drift. We verify the new trade-off principle experimentally on our trapped-ion quantum computer.