Abstract:Analysis of quantum error correcting codes is typically done using a stochastic, Pauli channel error model for describing the noise on physical qubits. However, it was recently found that coherent errors (systematic rotations) on physical data qubits result in both physical and logical error rates that differ significantly from those predicted by a Pauli model. Here we examine the accuracy of the Pauli approximation for noise containing coherent errors (characterized by a rotation angle ò) under the repetition… Show more
“…This critical value is consistent with the value observed in ref. [21] of 1/ǫ 2 , where ǫ is the angle of rotation about the x-axis, and we note that all of our observations hold in their specific case when we replace r in our results with √ ǫ, as that is how the specified noise scales relative to our lemma 1. Because the off diagonal terms and diagonal terms produce the same scaling in a worst-case analysis with coherent noise, the ratio of off diagonal to diagonal errors is independent of the number of rounds of error correction in the worst-case scaling of typical noise.…”
Section: Effective Noise Under Error Correctionsupporting
Typical studies of quantum error correction assume probabilistic Pauli noise, largely because it is relatively easy to analyze and simulate. Consequently, the effective logical noise due to physically realistic coherent errors is relatively unknown. Here, we prove that encoding a system in a stabilizer code and measuring error syndromes decoheres errors, that is, causes coherent errors to converge toward probabilistic Pauli errors, even when no recovery operations are applied. Two practical consequences are that the error rate in a logical circuit is well quantified by the average gate fidelity at the logical level and that essentially optimal recovery operators can be determined by independently optimizing the logical fidelity of the effective noise per syndrome.
“…This critical value is consistent with the value observed in ref. [21] of 1/ǫ 2 , where ǫ is the angle of rotation about the x-axis, and we note that all of our observations hold in their specific case when we replace r in our results with √ ǫ, as that is how the specified noise scales relative to our lemma 1. Because the off diagonal terms and diagonal terms produce the same scaling in a worst-case analysis with coherent noise, the ratio of off diagonal to diagonal errors is independent of the number of rounds of error correction in the worst-case scaling of typical noise.…”
Section: Effective Noise Under Error Correctionsupporting
Typical studies of quantum error correction assume probabilistic Pauli noise, largely because it is relatively easy to analyze and simulate. Consequently, the effective logical noise due to physically realistic coherent errors is relatively unknown. Here, we prove that encoding a system in a stabilizer code and measuring error syndromes decoheres errors, that is, causes coherent errors to converge toward probabilistic Pauli errors, even when no recovery operations are applied. Two practical consequences are that the error rate in a logical circuit is well quantified by the average gate fidelity at the logical level and that essentially optimal recovery operators can be determined by independently optimizing the logical fidelity of the effective noise per syndrome.
“…Let us analyze how well this code protects against coherent errors, in which each physical qubit in the code block rotates about the x-axis. Similar calculations were carried out in [13,14]. Understanding this example will prepare us for an analysis of more general stabilizer codes.…”
Section: Logical Channel For the Repetition Codementioning
confidence: 77%
“…Here we investigate the coherence of the logical channel in the case where the physical noise is fully coherent unitary noise, a problem that has been previously studied [13,14,15]. Our work improves on these past results in that we consider a family of codes with an accuracy threshold (toric codes without boundaries) and prove bounds on the logical coherence which apply in the limit of a large code block.…”
We study the effectiveness of quantum error correction against coherent noise. Coherent errors (for example, unitary noise) can interfere constructively, so that in some cases the average infidelity of a quantum circuit subjected to coherent errors may increase quadratically with the circuit size; in contrast, when errors are incoherent (for example, depolarizing noise), the average infidelity increases at worst linearly with circuit size. We consider the performance of quantum stabilizer codes against a noise model in which a unitary rotation is applied to each qubit, where the axes and angles of rotation are nearly the same for all qubits. In particular, we show that for the toric code subject to such independent coherent noise, and for minimal-weight decoding, the logical channel after error correction becomes increasingly incoherent as the length of the code increases, provided the noise strength decays inversely with the code distance. A similar conclusion holds for weakly correlated coherent noise. Our methods can also be used for analyzing the performance of other codes and fault-tolerant protocols against coherent noise. However, our result does not show that the coherence of the logical channel is suppressed in the more physically relevant case where the noise strength is held constant as the code block grows, and we recount the difficulties that prevented us from extending the result to that case. Nevertheless our work supports the idea that fault-tolerant quantum computing schemes will work effectively against coherent noise, providing encouraging news for quantum hardware builders who worry about the damaging effects of control errors and coherent interactions with the environment.
“…Since we have only pure Z noise, we only need to look at the symmetry exists in the X stabilisers, leading to additional symmetry in the exchange between qubits (1,2) and between qubits (8,9). Applying on top of the rotational symmetry, we have the following classes of equivalent conjugations:…”
Coherent noise can be much more damaging than incoherent (probabilistic) noise in the context of quantum error correction. One solution is to use twirling to turn coherent noise into incoherent Pauli channels. In this article, we argue that if twirling can improve the logical fidelity versus a given noise model, we can always achieve an even higher logical fidelity by simply sandwiching the noise with a chosen pair of Pauli gates, which we call Pauli conjugation. We devise a way to search for the optimal Pauli conjugation scheme and apply it to Steane code, 9-qubit Shor code and distance-3 surface code under global coherent Z noise. The optimal conjugation schemes show improvement in logical fidelity over twirling while the weights of the conjugation gates we need to apply are lower than the average weight of the twirling gates. In our example noise and codes, the concatenated threshold obtained using conjugation is consistently higher than the twirling threshold and can be up to 1.5 times higher than the original threshold where no mitigation is applied. Our simulations show that Pauli conjugation can be robust against gate errors and its advantages over twirling persist as we go to multiple rounds of quantum error correction. Pauli conjugation can be viewed as dynamical decoupling applied to the context of quantum error correction, in which our objective changes from maximising the physical fidelity to maximising the logical fidelity. The approach may be helpful in adapting other noise tailoring techniques in the quantum control theory into quantum error correction. arXiv:1906.06270v1 [quant-ph]
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