Here is a list of asymmetric quantum codes, i.e., codes that perform much better against one type of noise than another type.

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Code Relation
2D hyperbolic surface code Asymmetric 2D hyperbolic surface codes have been constructed [1].
3D lattice stabilizer code Applying Clifford deformations to various 3D stabilizer codes, including the 3D surface code, 3D color code, X-cube model code, and Sierpinski prism model code, yields a \(50\%\) code capacity threshold under infinitely biased Pauli noise [2].
Abelian LP code The Abelian LP construction has been adapted to accommodate noise bias, yielding bias-tailored LP codes [3].
Asymmetric quantum code (AQC)
Bacon-Shor code Bacon-Shor code parameters against bit- and phase-noise can be optimized by changing the block geometry, yielding good performance against biased noise [4]. A fault-tolerant teleportation-based computation scheme for asymmetric Bacon-Shor codes is effective against highly biased noise [5].
Binomial code Binomial code parameters against loss/gain errors and dephasing can be tuned.
Calderbank-Shor-Steane (CSS) stabilizer code In the context of comparing weight as well as of determining distances for noise models biased toward \(X\)- or \(Z\)-type errors, an extended notation for asymmetric CSS block quantum codes is \([[n,k,(d_X,d_Z),w]]\) or \([[n,k,d_X/d_Z,w]]\).
Clifford-deformed surface code (CDSC) Random Clifford deformation can improve performance of surface codes against biased noise [2,6].
Compass code Families of random compass codes perform well against biased noise and spatially dependent (i.e., asymmetric) noise [7]. Clifford deformation can enhance the performance of compass codes against biased noise [8].
Concatenated Steane code Concatenating while taking into account noise bias can reduce resource overhead [9].
Cyclic quantum code Cyclic quantum codes can be adapted for asymmetric noise [10].
Distance-balanced code Distance balancing is a procedure that can convert an asymmetric CSS code into a less asymmetric one.
EA qubit stabilizer code Entanglement can help decode asymmetric quantum codes [11].
Finite-geometry LDPC (FG-LDPC) code FG-LDPC codes can be used to construct asymmetric CSS codes [13][12; Lemma 4.1].
Galois-qudit BCH code Asymmetric quantum BCH codes have been constructed [14,15,17][12; Lemma 4.4][16; Sec. 17.3], including subsystem BCH codes [18][16; Sec. 9.3].
Galois-qudit CSS code Most known Galois-qudit AQC families are derived from the asymmetric Galois-qudit CSS construction [19; Thm. 27.5.2], and assuming the MDS conjecture, all possible parameters for pure Galois-qudit CSS asymmetric MDS codes have been determined [19; Thm. 27.5.3].
Galois-qudit RS code Asymmetric Galois-qudit RS codes have been constructed [20,21][16; Sec. 17.3].
Hastings-Haah Floquet code Floquet codes can be adapted for asymmetric noise [22].
Higher-dimensional homological product code The \((a,b)\)-complex construction yields asymmetric CSS codes with \(d_X=\delta^a\) and \(d_Z=\delta^b\), allowing independent tuning of the two distances for channels with unequal bit-flip and phase-flip rates [23].
Kitaev surface code The surface code on the honeycomb tiling is an asymmetric CSS code [1].
Quantum Hermitian AG code One-point and two-point Hermitian codes can be used to construct asymmetric Galois-qudit CSS codes, and the two-point construction can improve on the corresponding one-point codes [24].
Quantum Reed-Muller (RM) code Asymmetric quantum RM codes have been constructed [12; Lemma 4.1].
Quantum maximum-distance-separable (MDS) code An asymmetric Singleton bound and linear programming bounds for asymmetric CSS codes have been formulated [12]. Asymmetric MDS codes have been characterized [25].
Quantum parity code (QPC) QPC parameters against bit- and phase-noise can be tuned.
Quantum spherical code (QSC) QSC code parameters against loss/gain errors and Gaussian rotations can be tuned.
Qubit QLDPC code There are recipes to determine transversal gates for asymmetric qubit QLDPC codes [26].
Square-lattice GKP code GKP code parameters against position and momentum displacements can be tuned by the choice of lattice (e.g., square vs rectangular).
Subsystem surface code Subsystem surface codes perform well against biased circuit-level noise [27].
Tensor-network code Quantum Lego and more general tensor-network code optimization for biased noise can be done using reinforcement learning [28,29].
Twisted XZZX toric code Twisted XZZX codes perform well against biased noise [30–32]; see also Ref. [33].
Two-component cat code Cat qubits provide an asymmetric-noise platform admitting bias-preserving \(X\), CNOT, and Toffoli gates [34,35]. A bias-preserving SWAP gate has also been proposed [36].
XY surface code XY surface codes perform well against biased noise [37].
XYZ color code XYZ color codes perform well against biased noise [38].
XYZ product code XYZ product codes can be used to protect against biased noise [39].
XYZ\(^2\) hexagonal stabilizer code The XYZ\(^2\) hexagonal stabilizer code has high thresholds under biased noise [40].
XZZX surface code The XZZX surface code can be foliated for a noise-bias preserving MBQC [41] or FBQC [42] protocol; see also [43].

References

[1]
C. D. de Albuquerque, G. G. La Guardia, R. Palazzo, C. R. de O. Q. Queiroz, and V. L. Vieira, “Euclidean and Hyperbolic Asymmetric Topological Quantum Codes”, (2021) arXiv:2105.01144
[2]
E. Huang, A. Pesah, C. T. Chubb, M. Vasmer, and A. Dua, “Tailoring Three-Dimensional Topological Codes for Biased Noise”, PRX Quantum 4, (2023) arXiv:2211.02116 DOI
[3]
J. Roffe, L. Z. Cohen, A. O. Quintavalle, D. Chandra, and E. T. Campbell, “Bias-tailored quantum LDPC codes”, Quantum 7, 1005 (2023) arXiv:2202.01702 DOI
[4]
J. Napp and J. Preskill, “Optimal Bacon-Shor codes”, (2012) arXiv:1209.0794
[5]
P. Brooks and J. Preskill, “Fault-tolerant quantum computation with asymmetric Bacon-Shor codes”, Physical Review A 87, (2013) arXiv:1211.1400 DOI
[6]
A. Dua, A. Kubica, L. Jiang, S. T. Flammia, and M. J. Gullans, “Clifford-Deformed Surface Codes”, PRX Quantum 5, (2024) arXiv:2201.07802 DOI
[7]
M. Li, D. Miller, M. Newman, Y. Wu, and K. R. Brown, “2D Compass Codes”, Physical Review X 9, (2019) arXiv:1809.01193 DOI
[8]
J. A. Campos and K. R. Brown, “Clifford-Deformed Compass Codes”, Quantum 10, 2073 (2026) arXiv:2412.03808 DOI
[9]
Z. W. E. Evans, A. M. Stephens, J. H. Cole, and L. C. L. Hollenberg, “Error correction optimisation in the presence of X/Z asymmetry”, (2007) arXiv:0709.3875
[10]
Z. Liang, F. Yang, Z. Yi, and X. Wang, “Quantum XYZ cyclic codes for biased noise”, (2025) arXiv:2501.16827
[11]
Y. Fujiwara and M.-H. Hsieh, “Adaptively correcting quantum errors with entanglement”, (2011) arXiv:1104.5004
[12]
P. K. Sarvepalli, A. Klappenecker, and M. Rötteler, “Asymmetric quantum codes: constructions, bounds and performance”, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 465, 1645 (2009) DOI
[13]
P. K. Sarvepalli, A. Klappenecker, and M. Rotteler, “Asymmetric quantum LDPC codes”, 2008 IEEE International Symposium on Information Theory 305 (2008) arXiv:0804.4316 DOI
[14]
L. Ioffe and M. Mézard, “Asymmetric quantum error-correcting codes”, Physical Review A 75, (2007) arXiv:quant-ph/0606107 DOI
[15]
S. A. Aly, “Asymmetric quantum BCH codes”, 2008 International Conference on Computer Engineering & Systems 157 (2008) DOI
[16]
S. A. Aly, “On Quantum and Classical Error Control Codes: Constructions and Applications”, (2008) arXiv:0812.5104
[17]
G. G. La Guardia, “New families of asymmetric quantum BCH codes”, Quantum Information and Computation 11, 239 (2011) DOI
[18]
S. A. Aly, “Asymmetric and Symmetric Subsystem BCH Codes and Beyond”, (2008) arXiv:0803.0764
[19]
M. F. Ezerman, “Quantum Error-Control Codes.” Concise Encyclopedia of Coding Theory (Chapman and Hall/CRC, 2021) DOI
[20]
G. G. La Guardia, R. Palazzo, and C. Lavor. “Nonbinary quantum Reed-Solomon codes.” Int. J. Pure Applied Math 65.1 (2010): 55-63
[21]
G. G. La Guardia, “Asymmetric quantum Reed-Solomon and generalized Reed-Solomon codes”, Quantum Information Processing 11, 591 (2011) DOI
[22]
F. Setiawan and C. McLauchlan, “Tailoring dynamical codes for biased noise: the X3Z3 Floquet code”, npj Quantum Information 11, (2025) arXiv:2411.04974 DOI
[23]
W. Zeng and L. P. Pryadko, “Higher-Dimensional Quantum Hypergraph-Product Codes with Finite Rates”, Physical Review Letters 122, (2019) arXiv:1810.01519 DOI
[24]
M. F. Ezerman and R. Kirov, “Nonbinary Quantum Codes from Two-Point Divisors on Hermitian Curves”, (2011) arXiv:1102.3605
[25]
M. F. EZERMAN, S. JITMAN, H. M. KIAH, and S. LING, “PURE ASYMMETRIC QUANTUM MDS CODES FROM CSS CONSTRUCTION: A COMPLETE CHARACTERIZATION”, International Journal of Quantum Information 11, 1350027 (2013) arXiv:1006.1694 DOI
[26]
H. Leitch and A. Kay, “Transversal Gates for Highly Asymmetric qLDPC Codes”, (2025) arXiv:2506.15905
[27]
O. Higgott and N. P. Breuckmann, “Subsystem Codes with High Thresholds by Gauge Fixing and Reduced Qubit Overhead”, Physical Review X 11, (2021) arXiv:2010.09626 DOI
[28]
V. P. Su, C. Cao, H.-Y. Hu, Y. Yanay, C. Tahan, and B. Swingle, “Discovery of optimal quantum codes via reinforcement learning”, Physical Review Applied 23, (2025) arXiv:2305.06378 DOI
[29]
C. Mauron, T. Farrelly, and T. M. Stace, “Optimization of Tensor Network Codes with Reinforcement Learning”, (2023) arXiv:2305.11470
[30]
A. Robertson, C. Granade, S. D. Bartlett, and S. T. Flammia, “Tailored Codes for Small Quantum Memories”, Physical Review Applied 8, (2017) arXiv:1703.08179 DOI
[31]
J. P. Bonilla Ataides, D. K. Tuckett, S. D. Bartlett, S. T. Flammia, and B. J. Brown, “The XZZX surface code”, Nature Communications 12, (2021) arXiv:2009.07851 DOI
[32]
Q. Xu, N. Mannucci, A. Seif, A. Kubica, S. T. Flammia, and L. Jiang, “Tailored XZZX codes for biased noise”, Physical Review Research 5, (2023) arXiv:2203.16486 DOI
[33]
B. Röthlisberger, J. R. Wootton, R. M. Heath, J. K. Pachos, and D. Loss, “Incoherent dynamics in the toric code subject to disorder”, Physical Review A 85, (2012) arXiv:1112.1613 DOI
[34]
J. Guillaud and M. Mirrahimi, “Repetition Cat Qubits for Fault-Tolerant Quantum Computation”, Physical Review X 9, (2019) arXiv:1904.09474 DOI
[35]
S. Puri et al., “Bias-preserving gates with stabilized cat qubits”, Science Advances 6, (2020) arXiv:1905.00450 DOI
[36]
J. Guillaud and M. Mirrahimi, “Error rates and resource overheads of repetition cat qubits”, Physical Review A 103, (2021) arXiv:2009.10756 DOI
[37]
D. K. Tuckett, S. D. Bartlett, and S. T. Flammia, “Ultrahigh Error Threshold for Surface Codes with Biased Noise”, Physical Review Letters 120, (2018) arXiv:1708.08474 DOI
[38]
J. F. S. Miguel, D. J. Williamson, and B. J. Brown, “A cellular automaton decoder for a noise-bias tailored color code”, Quantum 7, 940 (2023) arXiv:2203.16534 DOI
[39]
Z. Liang, Z. Yi, F. Yang, J. Chen, Z. Wang, and X. Wang, “High-dimensional quantum XYZ product codes for biased noise”, (2025) arXiv:2408.03123
[40]
B. Srivastava, Y. Xiao, A. F. Kockum, B. Criger, and M. Granath, “Sequential decoding of the XYZ\(^2\) hexagonal stabilizer code”, (2025) arXiv:2505.03691
[41]
J. Claes, J. E. Bourassa, and S. Puri, “Tailored cluster states with high threshold under biased noise”, npj Quantum Information 9, (2023) arXiv:2201.10566 DOI
[42]
H. Bombín, C. Dawson, N. Nickerson, M. Pant, and J. Sullivan, “Increasing error tolerance in quantum computers with dynamic bias arrangement”, (2023) arXiv:2303.16122
[43]
A. M. Stephens, W. J. Munro, and K. Nemoto, “High-threshold topological quantum error correction against biased noise”, Physical Review A 88, (2013) arXiv:1308.4776 DOI
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