Factory-based fault-tolerant preparation of quantum polar codes encoding one logical qubit
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Factory-based fault-tolerant preparation of quantum polar codes encoding one logical qubit. / Goswami, Ashutosh; Mhalla, Mehdi; Savin, Valentin.
In: Physical Review A, Vol. 110, No. 1, 012438, 2024.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Factory-based fault-tolerant preparation of quantum polar codes encoding one logical qubit
AU - Goswami, Ashutosh
AU - Mhalla, Mehdi
AU - Savin, Valentin
N1 - Publisher Copyright: © 2024 American Physical Society.
PY - 2024
Y1 - 2024
N2 - A fault-tolerant way to prepare logical code states of Q1 codes, i.e., quantum polar codes encoding one qubit, was recently proposed. The fault tolerance therein is guaranteed by an error detection gadget, where, if an error is detected during the preparation, one entirely discards the preparation. Due to error detection, the preparation is probabilistic and its success rate, referred to as the preparation rate, decreases rapidly with the code length, preventing the preparation of code states of large code- lengths. In this paper, to improve the preparation rate, we consider a factory preparation of Q1 code states, where one attempts to prepare several copies of Q1 code states in parallel. Using an extra scheduling step, we can avoid discarding the preparation entirely every time an error is detected, hence, achieving an increased preparation rate in turn. We further provide a theoretical method to estimate preparation and logical error rates of Q1 codes, prepared using factory preparation, which is shown to tightly fit the Monte Carlo simulation-based numerical results. Therefore, our theoretical method is useful for providing estimates for large code lengths, where Monte Carlo simulations are practically not feasible. Our numerical results, for a circuit-level depolarizing noise model, indicate that the preparation rate increases significantly, especially for large code-length N. For example, for N=256, it increases from 0.02% to 27% for a practically interesting physical error rate p=10-3. Remarkably, a Q1 code with N=256 achieves logical error rates around 10-11 and 10-15 for p=10-3 and p=3×10-4, respectively. This corresponds to an improvement of about three orders of magnitude compared to a surface code with similar code length and minimum distance, thus showing the promise of the proposed scheme for large-scale fault-tolerant quantum computing.
AB - A fault-tolerant way to prepare logical code states of Q1 codes, i.e., quantum polar codes encoding one qubit, was recently proposed. The fault tolerance therein is guaranteed by an error detection gadget, where, if an error is detected during the preparation, one entirely discards the preparation. Due to error detection, the preparation is probabilistic and its success rate, referred to as the preparation rate, decreases rapidly with the code length, preventing the preparation of code states of large code- lengths. In this paper, to improve the preparation rate, we consider a factory preparation of Q1 code states, where one attempts to prepare several copies of Q1 code states in parallel. Using an extra scheduling step, we can avoid discarding the preparation entirely every time an error is detected, hence, achieving an increased preparation rate in turn. We further provide a theoretical method to estimate preparation and logical error rates of Q1 codes, prepared using factory preparation, which is shown to tightly fit the Monte Carlo simulation-based numerical results. Therefore, our theoretical method is useful for providing estimates for large code lengths, where Monte Carlo simulations are practically not feasible. Our numerical results, for a circuit-level depolarizing noise model, indicate that the preparation rate increases significantly, especially for large code-length N. For example, for N=256, it increases from 0.02% to 27% for a practically interesting physical error rate p=10-3. Remarkably, a Q1 code with N=256 achieves logical error rates around 10-11 and 10-15 for p=10-3 and p=3×10-4, respectively. This corresponds to an improvement of about three orders of magnitude compared to a surface code with similar code length and minimum distance, thus showing the promise of the proposed scheme for large-scale fault-tolerant quantum computing.
U2 - 10.1103/PhysRevA.110.012438
DO - 10.1103/PhysRevA.110.012438
M3 - Journal article
AN - SCOPUS:85198905441
VL - 110
JO - Physical Review A - Atomic, Molecular, and Optical Physics
JF - Physical Review A - Atomic, Molecular, and Optical Physics
SN - 1050-2947
IS - 1
M1 - 012438
ER -
ID: 399182661