Quantum codes in the Lee metric

📅 2026-10-04
📈 Citations: 1
✨ Influential: 1
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🤖 AI Summary
This study addresses the challenge of efficient coding against discrete small-shift noise in quantum error correction by constructing a quantum coding framework based on the Lee metric. Methodologically, it leverages stabilizer codes over Z_q, CSS-LDPC techniques, and Gray mapping, combined with hypergraph product constructions and Metropolis dynamics simulations to optimize error-correction efficiency. The primary contributions include proposing a joint Lee metric that reduces physical qubit overhead, enabling X/Z error correction with fewer qubits. Furthermore, this work establishes distance upper bounds for high-dimensional qudits and reveals the finite-temperature self-correcting mechanism of spiral repetition codes. It also demonstrates that two-dimensional quantum codes can inherit Z-error self-correction properties while identifying fundamental encoding barriers in the large-q regime.
📝 Abstract
We introduce a quantum coding framework for discrete small-shift noise, in which errors on qudits are modeled as low-weight $X$- and $Z$-type Pauli shifts, analogous to small phase-space displacements in continuous-variable systems. This structure is approximately respected by nuclear-spin noise and captured by the Lee metric, motivating a quantum extension of classical Lee-metric coding theory. We develop such a formalism for stabilizer codes over $\mathbb{Z}_q$ for arbitrary $q$, using joint and separate Lee metrics for the $X$- and $Z$-components of errors. For qubits, the joint metric counts $Y$ errors twice and can yield codes that detect and correct $X$ and $Z$ errors with fewer physical qubits than codes designed for the conventional Hamming metric. We discuss Lee-weight spreading under Clifford gates and qubitize codes over $\mathbb{Z}_4$ via the Gray map, finding codes with two-fold transversal non-qubit-Clifford gates. For quantum CSS Lee-LDPC codes on $n$ qudits, we prove that the Lee distance cannot exceed $O(n)$, uniformly in $q$, demonstrating an unexpected obstruction to using the large internal Hilbert space of a large-$q$ qudit to make high-Lee-distance codes. Under local Metropolis dynamics, certain classical $q$-ary ``helical repetition codes''have exponentially long memory times at fixed temperature for sufficiently large $q$ (that grows with system length), which can be understood as spontaneous symmetry breaking at finite temperature, even in local one-dimensional models. Hypergraph products of these helical repetition codes provide local two-dimensional quantum codes that inherit self-correction for $Z$ errors, but self-correction for $X$ errors remains an open question.
Problem

Research questions and friction points this paper is trying to address.

Quantum error correction
Lee metric
Discrete small-shift noise
Stabilizer codes
Self-correcting quantum codes
Innovation

Methods, ideas, or system contributions that make the work stand out.

Lee metric
quantum error correction
stabilizer codes
LDPC codes
self-correction
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