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Detecting Qubit-coupling Faults in Ion-trap Quantum Computers
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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.
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Eigenstate Preparation on Quantum Computers
A dissertation presenting adiabatic evolution with optimal control, the Rodeo Algorithm, and a new Variational Rodeo Algorithm that uses Rodeo success probability as a variational cost function.
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