Ion Trap Quantum Computer

Kihwan Kim, Jungsang Kim, Taehyun Kim

Andrii Maksymov, Jason Nguyen, Vandiver L. Chaplin +2 more

Ion-trap quantum computers offer a large number of possible qubit couplings, each of which requires individual calibration and can be misconfigured. To enhance the duty cycle of an ion trap, we develop a strategy that diagnoses individual miscalibrated couplings using only log-many tests. This strategy is validated on a commercial ion-trap quantum computer, where we illustrate the process of debugging faulty quantum gates. Our methodology provides a scalable pathway towards fault detections on a larger scale ion-trap quantum computers, confirmed by simulations up to 32 qubits.

Grzegorz H. Kasprowicz

Rezlind Bushati, Adam J. Ollanik, Matthew J. Bohn +3 more

On-chip photonics are crucial for scaling trapped-ion quantum computers. To this end, we demonstrate conductive, transparent ITO metasurfaces working at visible wavelengths. These conductive metasurfaces can be fabricated on the surface of an ion trap for scalable beam delivery to trapped ion quantum computers.

Nilesh Goel, James K. Freericks

Abstract We examine the detailed scenario for implementing n -control-qubit Toffoli gates and select gates on ion-trap quantum computers, especially those that shuttle ions into interaction zones. We determine expected performance of these gates with realistic parameters for an ion-trap quantum computer and taking into account the time variation of the exchange integrals. This allows us to estimate the errors due to spin–phonon entanglement as well. While there are challenges with implementing these gates, because their performance always has some degree of error, they should be feasible on current hardware, but they may be too slow to be used efficiently in quantum codes on noisy intermediate scale quantum computers. Here, we estimate these gate times for Yb-based ion trap quantum computers.

Chuck Easttom