Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
129 tokens/sec
GPT-4o
28 tokens/sec
Gemini 2.5 Pro Pro
42 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Improved rate-distance trade-offs for quantum codes with restricted connectivity (2307.03283v1)

Published 6 Jul 2023 in quant-ph, cs.IT, and math.IT

Abstract: For quantum error-correcting codes to be realizable, it is important that the qubits subject to the code constraints exhibit some form of limited connectivity. The works of Bravyi & Terhal (BT) and Bravyi, Poulin & Terhal (BPT) established that geometric locality constrains code properties -- for instance $[[n,k,d]]$ quantum codes defined by local checks on the $D$-dimensional lattice must obey $k d{2/(D-1)} \le O(n)$. Baspin and Krishna studied the more general question of how the connectivity graph associated with a quantum code constrains the code parameters. These trade-offs apply to a richer class of codes compared to the BPT and BT bounds, which only capture geometrically-local codes. We extend and improve this work, establishing a tighter dimension-distance trade-off as a function of the size of separators in the connectivity graph. We also obtain a distance bound that covers all stabilizer codes with a particular separation profile, rather than only LDPC codes.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (17)
  1. A separator theorem for nonplanar graphs. Journal of the American Mathematical Society, 3(4):801–808, 1990.
  2. A lower bound on the overhead of quantum error correction in low dimensions. arXiv preprint arXiv:2302.04317, 2023.
  3. N. Baspin and A. Krishna. Connectivity constrains quantum codes. Quantum, 6:711, 2022.
  4. N. Baspin and A. Krishna. Quantifying nonlocality: How outperforming local quantum codes is expensive. Physical Review Letters, 129(5):050505, 2022.
  5. Tradeoffs for reliable quantum information storage in 2D systems. Physical Review Letters, 104(5):050503, 2010.
  6. S. Bravyi and B. Terhal. A no-go theorem for a two-dimensional self-correcting quantum memory based on stabilizer codes. New Journal of Physics, 11(4):043029, 2009.
  7. N. Delfosse. Tradeoffs for reliable quantum information storage in surface codes and color codes. In Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on, pages 917–921. IEEE, 2013.
  8. Bounds on stabilizer measurement circuits and obstructions to local implementations of quantum LDPC codes. arXiv preprint arXiv:2109.14599, 2021.
  9. Limits on the storage of quantum information in a volume of space. Quantum, 1:4, 2017.
  10. A separator theorem for graphs of bounded genus. Journal of Algorithms, 5(3):391–407, Sept. 1984.
  11. D. Gottesman. Fault-tolerant quantum computation with constant overhead. Quantum Information & Computation, 14(15-16):1338–1372, 2014.
  12. Faster shortest-path algorithms for planar graphs. Journal of Computer and System Sciences, 55(1):3–23, Aug. 1997.
  13. G. Kalachev and S. Sadov. A linear-algebraic and lattice-theoretical look at the cleaning lemma of quantum coding theory. Linear Algebra and its Applications, 649:96–121, 2022.
  14. A. Y. Kitaev. Quantum computations: algorithms and error correction. Russian Mathematical Surveys, 52(6):1191–1249, 1997.
  15. Fault tolerance of quantum low-density parity check codes with sublinear distance scaling. Physical Review A, 87(2):020304, 2013.
  16. A separator theorem for planar graphs. SIAM Journal on Applied Mathematics, 36(2):177–189, 1979.
  17. A unified geometric approach to graph separators. In 1991 Proceedings 32nd Annual Symposium of Foundations of Computer Science, pages 538–547, Los Alamitos, CA, USA, oct 1991. IEEE Computer Society.
Citations (11)

Summary

We haven't generated a summary for this paper yet.