Abstract

We investigate quantum error correction using continuous parity measurements to correct bit-flip errors with the three-qubit code. Continuous monitoring of errors brings the benefit of a continuous stream of information, which facilitates passive error tracking in real time. It reduces overhead from the standard gate-based approach that periodically entangles and measures additional ancilla qubits. However, the noisy analog signals from continuous parity measurements mandate more complicated signal processing to interpret syndromes accurately. We analyze the performance of several practical filtering methods for continuous error correction and demonstrate that they are viable alternatives to the standard ancilla-based approach. As an optimal filter, we discuss an unnormalized (linear) Bayesian filter, with improved computational efficiency compared to the related Wonham filter introduced by Mabuchi [New J. Phys. 11, 105044 (2009)]. We compare this optimal continuous filter to two practical variations of the simplest periodic boxcar-averaging-and-thresholding filter, targeting real-time hardware implementations with low-latency circuitry. As variations, we introduce a non-Markovian ``half-boxcar'' filter and a Markovian filter with a second adjustable threshold; these filters eliminate the dominant source of error in the boxcar filter, and compare favorably to the optimal filter. For each filter, we derive analytic results for the decay in average fidelity and verify them with numerical simulations.

Highlights

  • Quantum error correction (QEC) is essential to building a scalable and fault-tolerant quantum computer [1, 2]. the theory of QEC has been developing since the 1990s and is well established for the circuit model of quantum computation, the practical implemention of QEC in realistic hardware raises additional nuance that prompts more detailed investigation

  • We show that for passive error tracking the benefits of continuous measurements can outweigh the disadvantages, enabling high-fidelity decoding of the logical qubit without the need for active feedback

  • We have analyzed the 3-qubit bit-flip code to assess the performance of direct methods for measuring the syndromes using time-continuous parity measurements

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Summary

Introduction

Quantum error correction (QEC) is essential to building a scalable and fault-tolerant quantum computer [1, 2]. A possible route to perform QEC without the overhead of ancilla qubits is to directly monitor the error syndromes continuously in time [22, 23] With this variation, the code subspaces for the error syndromes are directly coupled to a continuous readout device [24,25,26,27,28,29,30], avoiding the need for periodic entangling gates and additional ancilla measurements. We assess the performance of implementing continuous QEC for the simplest three-qubit bit-flip code, assuming a simplified model of modern superconducting hardware, and develop practical filters to interpret the stochastic time-continuous signals. We include an Appendix that contains a complementary analysis of an ancilla-based projective measurement implementation of the three-qubit bit-flip code

Encoding and error syndromes
Bit-flip error model and fidelity
Physical Setup
Continuous Bayesian filter
Derivation of linear Bayesian filter
Linear Bayesian filter
Bayesian filter analysis
Initial fidelity drop
Logical error rate of the Bayesian filter
Periodic Filters
Boxcar error mechanisms
Boxcar logical error rate
Half-boxcar filter and error rate
Half-boxcar logical error rate
Double-threshold filter and error rate
Double-threshold logical error rate
Initial drop in fidelity
Optimizing filter parameters
Boxcar filter
Half-boxcar filter
Double threshold filter
Numerical Simulations
Conclusions
A Ancilla-based parity measurements
Logical error rate
Findings
Logical error rate: optimistic case
Full Text
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