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Measuring Effective Temperatures of Qubits Using Correlations.

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This summary is machine-generated.

We developed a novel qubit measurement technique using sequential measurements to precisely determine excited state populations. This method enhances quantum computing initialization by avoiding high-fidelity readout and external qubit levels, achieving 0.01% accuracy.

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Area of Science:

  • Quantum Computing
  • Quantum Information Science
  • Superconducting Circuits

Background:

  • Initializing qubits in pure states is crucial for quantum computation.
  • Existing methods for evaluating initialization often require high-fidelity readout or involve complex experimental setups.
  • Precise measurement of excited state populations is key to assessing and improving qubit initialization protocols.

Purpose of the Study:

  • To propose and experimentally validate a new technique for measuring qubit excited state population.
  • To develop a method that bypasses the need for high-fidelity readout and external qubit energy levels.
  • To enable precise characterization of qubit initialization and decoherence sources.

Main Methods:

  • Utilized correlations between two sequential measurements on a qubit.
  • Implemented the technique on a circuit Quantum Electrodynamics (QED) platform.
  • Compared the proposed method with existing techniques for population measurement.

Main Results:

  • Achieved experimental measurement of spurious qubit population with accuracy up to 0.01%.
  • Demonstrated a method that does not require high-fidelity readout.
  • Showcased the ability to perform "temperature spectroscopy" of the qubit, aiding in the identification of decoherence mechanisms.

Conclusions:

  • The proposed technique offers a precise and efficient way to measure qubit excited state populations.
  • This method simplifies qubit initialization evaluation by removing stringent readout requirements.
  • The high accuracy achieved facilitates deeper understanding of qubit decoherence, paving the way for improved quantum computer performance.