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Demonstrating a Driven Reset Protocol of a Superconducting Qubit (1211.0491v2)

Published 2 Nov 2012 in cond-mat.mes-hall and quant-ph

Abstract: Qubit reset is crucial at the start of and during quantum information algorithms. We present the experimental demonstration of a practical method to force qubits into their ground state, based on driving certain qubit and cavity transitions. Our protocol, called the double drive reset of population is tested on a superconducting transmon qubit in a three-dimensional cavity. Using a new method for measuring population, we show that we can prepare the ground state with a fidelity of at least 99.5 % in less than 3 microseconds; faster times and higher fidelity are predicted upon parameter optimization.

Citations (197)

Summary

Overview of "Demonstrating a Driven Reset Protocol for a Superconducting Qubit"

The paper "Demonstrating a Driven Reset Protocol for a Superconducting Qubit," authored by K. Geerlings et al., offers a detailed experimental examination of an active qubit reset method, specifically the Double Drive Reset of Population (DDROP). This method targets efficient qubit initialization, which is essential for quantum computation processes such as implementing algorithms and quantum error correction.

Experimental Demonstration and Protocol Development

The authors utilize superconducting transmon qubits within three-dimensional cavities to present their findings. The active reset mechanism is motivated by the enhanced relaxation times of superconducting qubits, which have reached near 100 µs, making passive waiting for equilibration increasingly impractical. DDROP operates by simultaneously employing two microwave drives to manipulate the qubit-cavity system's transitions. The driving protocol efficiently steers qubits to their ground states, thus facilitating high-fidelity (99.5% or better) preparation in under 3 µs.

Technical Insights

The DDROP protocol relies on several key technical insights:

  • Dispersive Regime: The approach leverages the strong dispersive coupling between qubits and cavities, allowing number splitting such that the cavity frequency depends on the qubit’s state and vice versa.
  • Drive Frequencies: By tuning the frequencies of the drives—one for the qubit and another for the cavity—the system stabilizes into a coherent state with minimal excited state population.
  • Operational Parameters: The protocol effectiveness depends on parameters such as cavity decay rate (κ), Rabi frequency (Ω_R), and average photon number in the cavity (nˉ\bar{n}).

Results and Measurements

The authors use a newly devised Rabi population measurement (RPM) technique to ascertain the qubit state populations accurately. The RPM circumvents issues in readout efficiency by comparing Rabi oscillation amplitudes, providing reliable excited state population estimates down to 0.5%. Experimental results demonstrate successful ground state preparation fidelity over a broad parameter range, highlighting the robustness and adaptability of DDROP.

Implications and Future Directions

The implications of this research are significant for both practical and theoretical quantum computing applications. The DDROP protocol contributes to improved qubit reset performance without requiring high-fidelity readouts or frequency tunability, simplifying implementation in fixed-frequency systems. Moreover, DDROP assumes a role in dynamically cooling 'hot' qubits, a condition often observed in superconducting designs.

This reset method aligns with broader quantum research programs focused on reservoir engineering, which seeks to tailor decoherence landscapes to favor desired states. This work prompts potential exploration of similar protocols for stabilizing complex quantum states or automating basic quantum operations.

In conclusion, DDROP offers a reliable mechanism for preparing superconducting qubits in their ground states, setting the stage for enhanced quantum algorithms and error-correcting codes without complex overhead. Future refinements may involve optimizing pulse timing and shapes, as well as adapting the method to other quantum systems.