Optimization of the surface code design for Majorana-based qubits

The surface code is a prominent topological error-correcting code exhibiting high fault-tolerance accuracy thresholds. Conventional schemes for error correction with the surface code place qubits on a planar grid and assume native CNOT gates between the data qubits with nearest-neighbor ancilla qubits. Here, we present surface code error-correction schemes using $\textit{only}$ Pauli measurements on single qubits and on pairs of nearest-neighbor qubits. In particular, we provide several qubit layouts that offer favorable trade-offs between qubit overhead, circuit depth and connectivity degree. We also develop minimized measurement sequences for syndrome extraction, enabling reduced logical error rates and improved fault-tolerance thresholds. Our work applies to topologically protected qubits realized with Majorana zero modes and to similar systems in which multi-qubit Pauli measurements rather than CNOT gates are the native operations.

[1]  J. Macwilliams A theorem on the distribution of weights in a systematic code , 1963 .

[2]  J. Preskill,et al.  Topological quantum memory , 2001, quant-ph/0110143.

[3]  A. Kitaev Fault tolerant quantum computation by anyons , 1997, quant-ph/9707021.

[4]  Ericka Stricklin-Parker,et al.  Ann , 2005 .

[5]  Robert Raussendorf,et al.  Fault-tolerant quantum computation with high threshold in two dimensions. , 2007, Physical review letters.

[6]  A. Fowler,et al.  High-threshold universal quantum computation on the surface code , 2008, 0803.0272.

[7]  Debbie W. Leung,et al.  Characterization of universal two-qubit Hamiltonians , 2011, Quantum Inf. Comput..

[8]  M. Mariantoni,et al.  Surface codes: Towards practical large-scale quantum computation , 2012, 1208.0928.

[9]  Sergey Bravyi,et al.  Simulation of rare events in quantum error correction , 2013, 1308.6270.

[10]  Jean-Pierre Tillich,et al.  A decoding algorithm for CSS codes using the X/Z correlations , 2014, 2014 IEEE International Symposium on Information Theory.

[11]  Ying Li Noise Threshold and Resource Cost of Fault-Tolerant Quantum Computing with Majorana Fermions in Hybrid Systems. , 2016, Physical review letters.

[12]  A. Altland,et al.  Roadmap to Majorana surface codes , 2016, 1606.08408.

[13]  M. Freedman,et al.  Scalable designs for quasiparticle-poisoning-protected topological quantum computation with Majorana zero modes , 2016, 1610.05289.

[14]  Jens Eisert,et al.  Combining Topological Hardware and Topological Software: Color-Code Quantum Computing with Topological Superconductor Networks , 2017, 1704.01589.

[15]  Gilles Zémor,et al.  Linear-Time Maximum Likelihood Decoding of Surface Codes over the Quantum Erasure Channel , 2017, Physical Review Research.

[16]  Michael Beverland,et al.  Modeling noise and error correction for Majorana-based quantum computing , 2018, Quantum.

[17]  K. Brown,et al.  Fault-tolerant compass codes , 2019, Physical Review A.

[18]  K. Brown,et al.  Generating Fault-Tolerant Cluster States from Crystal Structures , 2019, Quantum.

[19]  K. Brown,et al.  Fault-tolerant weighted union-find decoding on the toric code , 2020, 2004.04693.

[20]  P. Alam ‘L’ , 2021, Composites Engineering: An A–Z Guide.