255 citations · 724 across the 7 of their papers we have counts for
7 papers
Macromux: scalable postselection for high-threshold fault-tolerant quantum computation
Patrick Birchall, Jacob Bridgeman, Christopher Dawson +7
We introduce a new resource-efficient scheme for fault-tolerant quantum computation known as `macroscale multiplexing' (or simply `Macromux'), that utilizes scalable postselection…
Local tensor-network codes
Terry Farrelly, David K. Tuckett, Thomas M. Stace
Tensor-network codes enable the construction of large stabilizer codes out of tensors describing smaller stabilizer codes. An application of tensor-network codes was an efficient a…
Practical quantum error correction with the XZZX code and Kerr-cat qubits
Andrew S. Darmawan, Benjamin J. Brown, Arne L. Grimsmo +2
The development of robust architectures capable of large-scale fault-tolerant quantum computation should consider both their quantum error-correcting codes, and the underlying phys…
The XZZX Surface Code
J. Pablo Bonilla Ataides, David K. Tuckett, Stephen D. Bartlett +2
Performing large calculations with a quantum computer will likely require a fault-tolerant architecture based on quantum error-correcting codes. The challenge is to design practica…
Fault-tolerant thresholds for the surface code in excess of 5% under biased noise
David K. Tuckett, Stephen D. Bartlett, Steven T. Flammia +1
Noise in quantum computing is countered with quantum error correction. Achieving optimal performance will require tailoring codes and decoding algorithms to account for features of…
Tailoring surface codes for highly biased noise
David K. Tuckett, Andrew S. Darmawan, Christopher T. Chubb +3
The surface code, with a simple modification, exhibits ultra-high error correction thresholds when the noise is biased towards dephasing. Here, we identify features of the surface…
Ultrahigh Error Threshold for Surface Codes with Biased Noise
David K. Tuckett, Stephen D. Bartlett, Steven T. Flammia
We show that a simple modification of the surface code can exhibit an enormous gain in the error correction threshold for a noise model in which Pauli Z errors occur more frequentl…