Fault-Tolerant Preparation of Quantum Polar Codes Encoding One Logical Qubit
Ashutosh Goswami, Mehdi Mhalla, Valentin Savin
TL;DR
This work investigates fault-tolerant quantum computation via CSS quantum polar codes encoding a single logical qubit ($\\mathcal{Q}_1$). It shows a subfamily of $\\mathcal{Q}_1$ codes is equivalent to Shor codes, yet $\\mathcal{Q}_1$ generally yields lower logical error rates at the same length and distance due to channel polarization and SC decoding; it also develops a recursive, measurement-based state-preparation scheme with error-detection gadgets to achieve fault tolerance, and applies Steane error correction to quantify logical error rates under circuit-level depolarizing noise. Numerical results for code lengths $N=16$ and $N=64$ indicate that $\\mathcal{Q}_1$ can achieve very low LERs (near $10^{-6}$ at $p=10^{-3}$ for $N=64$), highlighting the potential of polar-code–based FTQC. The work integrates classical and quantum polar code theories, explicit code-state preparation methods, and practical error-correction performance analyses to advance fault-tolerant quantum computation using structured polar codes.
Abstract
This paper explores a new approach to fault-tolerant quantum computing (FTQC), relying on quantum polar codes. We consider quantum polar codes of Calderbank-Shor-Steane type, encoding one logical qubit, which we refer to as $\mathcal{Q}_1$ codes. First, we show that a subfamily of $\mathcal{Q}_1$ codes is equivalent to the well-known family of Shor codes. Moreover, we show that $\mathcal{Q}_1$ codes significantly outperform Shor codes, of the same length and minimum distance. Second, we consider the fault-tolerant preparation of $\mathcal{Q}_1$ code states. We give a recursive procedure to prepare a $\mathcal{Q}_1$ code state, based on two-qubit Pauli measurements only. The procedure is not by itself fault-tolerant, however, the measurement operations therein provide redundant classical bits, which can be advantageously used for error detection. Fault-tolerance is then achieved by combining the proposed recursive procedure with an error detection method. Finally, we consider the fault-tolerant error correction of $\mathcal{Q}_1$ codes. We use Steane error correction, which incorporates the proposed fault-tolerant code state preparation procedure. We provide numerical estimates of the logical error rates for $\mathcal{Q}_1$ and Shor codes of length $16$ and $64$ qubits, assuming a circuit-level depolarizing noise model. Remarkably, the $\mathcal{Q}_1$ code of length $64$ qubits achieves a logical error rate very close to $10^{-6}$ for the physical error rate $p = 10^{-3}$, therefore, demonstrating the potential of the proposed polar codes based approach to FTQC.
