Quantum LDPC Codes of Almost Linear Distance via Homological Products

November 06, 2024 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Louis Golowich, Venkatesan Guruswami arXiv ID 2411.03646 Category quant-ph: Quantum Computing Cross-listed cs.IT Citations 5 Venue arXiv.org Last Checked 5 months ago
Abstract
We present new constructions of quantum codes of linear or close-to-linear distance and dimension with low-weight stabilizers. Only a few constructions of such codes were previously known, and were primarily based on a specific operation from homological algebra, namely the balanced product. In contrast, our constructions are based on a more basic and widely used product, namely the homological product (i.e. the tensor product of chain complexes). Our results help address the natural question: When do homological products preserve good code distance? Our first main result constructs asymptotically good $[[N,Θ(N),Θ(N)]]$ quantum codes with small polynomial stabilizer weight from homological products of codes with a property called product-expansion. This notion was recently introduced and used to bound the distance of balanced product quantum codes; we apply it instead to homological products. For every $Ρ>0$, our second main result constructs close-to-linear distance $[[N,N^{1-Ρ},N^{1-Ρ}]]$ (subsystem) quantum LDPC codes with constant stabilizer weight from iterated homological products of a constant-sized quantum locally testable code. The key insight here is that by using subsystem codes (but still with constant-weight stabilizers), we can circumvent a particular obstruction that limited the distance of many prior product code constructions to at most $\tilde{O}(\sqrt{N})$.
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