Interaction-Sequence Calibration for Bit-Flip Control in Cat Qubits

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Solution Overview

Problem

Existing quantum gate calibration methods for noise-bias qubits, such as cat qubits, lack precision, accuracy, and reliability, leading to suboptimal performance due to uncontrolled quantum noise and bit-flip errors.

Innovation Solution

A method for calibrating quantum operation parameters by iteratively preparing and measuring bit-flipped and bit-unflipped populations across a range of parameter values, identifying an optimum that minimizes noise-bias bit-flip rates, using microwave pulses and stabilization techniques to stabilize cat qubits, and employing Wigner tomography or parity measurements for accurate calibration.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional quantum gate calibration methods are used for noise-bias qubits, then the calibration process is simpler, but the precision, accuracy, and reliability of the calibration are insufficient leading to suboptimal performance

Engineering Contradiction:
Improvecalibration precisionVSAvoidcalibration method complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent implements a feedback-based calibration method where bit-flip error rates are measured for different parameter values, and this measurement feedback is used to identify optimal parameters. The process iteratively prepares states, applies gates with varied parameters, measures bit-flip errors, and selects parameters that minimize these errors, creating a closed-loop calibration system that improves precision through empirical feedback.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent employs preliminary state preparation before gate application, where specific quantum states (including noise-bias prepared states) are prepared in advance for each parameter measurement. This preliminary action ensures that the calibration process starts from known, controlled states, enabling more accurate measurement of gate-induced bit-flip errors and improving overall calibration reliability.

Inventive Principle:
Principle #10Preliminary action

2Reliability

If quantum gates are applied without precise calibration, then the operation speed is faster, but bit-flip errors increase reducing quantum circuit performance

Engineering Contradiction:
Improvequantum circuit reliabilityVSAvoidcalibration time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent replaces complex, time-consuming full quantum process tomography with a simplified measurement approach that directly measures bit-flip error rates on prepared states. This substitution of measurement mechanics reduces calibration time significantly while maintaining reliability, as it focuses only on the specific error metric (bit-flip rate) relevant to noise-bias qubits rather than characterizing the entire quantum process.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent systematically varies gate parameters (such as pulse amplitude, duration, or frequency) across multiple calibration steps, measuring bit-flip error rates for each parameter value. By changing parameters methodically and identifying the optimal value that minimizes bit-flip errors, the patent achieves reliable calibration without requiring exhaustive testing of all possible parameter combinations, thus reducing calibration time.

Inventive Principle:
Principle #35Parameter changes

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Achieves highly accurate and reliable calibration of quantum gates with reduced uncertainty, ensuring robustness against bit-flip errors by leveraging the noise-bias properties of cat qubits, thereby enhancing the coherence and performance of quantum circuits.

Implementation Method 1

a parametric amplification process in which two photons from the memory mode are converted into one photon in the buffer mode and one photon at a sum frequency

Methodology Applied
Scientific EffectParametric amplification:

Implementation Method 2

the buffer mode is pumped at a frequency which is equal to the absolute value of the difference between twice the resonant frequency of the memory mode and the resonant frequency of the buffer mode

Methodology Applied
Scientific EffectFrequency mixing:

Implementation Method 3

The non-linear element is an asymmetrically threaded SQUID (ATS) comprising a superconducting loop interrupted by a first Josephson junction

Methodology Applied
Scientific EffectJosephson effect: Josephson Effect

Implementation Method 4

employing Wigner tomography or parity measurements for accurate calibration

Methodology Applied
Scientific EffectWigner tomography: Tomography

Data Source

PatentEP4614398A1A method of calibration of a parameter of a sequence for performing a quantum operation
Publication Date: 2025.09.10 ALICE & BOB
  • EP4614398A1 patent drawingFigure 1~2
  • EP4614398A1 patent drawingFigure 3~5
  • EP4614398A1 patent drawingFigure 6~8

AI summary

A method of calibration of at least one parameter of an interaction sequence for performing a physical quantum operation defined on a single or multi-qubit system in a superconducting circuit based on cat qubits having a reduced bit-flip error rate as a noise-bias, the method comprising, for a qubit of the system affected by variations of the at least one parameter and with a list of at least one state of said qubit system, steps of, for a value of the at least one parameter and for each state of the list, - preparing (S20) the state, - applying (S30) the interaction sequence on the prepared state and with the parameter value, - measuring (S40) bit-flipped and bit-unflipped populations of the affected qubit at an end of said applying, iterating (S50, S60, S10, S20) the said preparing, applying and measuring steps with varied values of the at least one parameter, sweeping a range of candidate values of the at least one parameter, and then identifying (S70), from populations measured during the iterating steps, an optimum of preservation of said noise-bias by the operation, and implementing (S80) as a calibrated value of the at least one parameter an inferred parameter value associated with the said identified optimum.