Optimal algorithms for learning quantum phase states
Srinivasan Arunachalam, Sergey Bravyi, et al.
TQC 2023
We propose a family of error-detecting stabilizer codes with an encoding rate of 1/3 that permit a transversal implementation of the gate T=exp(-iπZ/8) on all logical qubits. These codes are used to construct protocols for distilling high-quality "magic" states T+ by Clifford group gates and Pauli measurements. The distillation overhead scales as O(logγ(1/ε)), where ε is the output accuracy and γ=log2(3)∼1.6. To construct the desired family of codes, we introduce the notion of a triorthogonal matrix, a binary matrix in which any pair and any triple of rows have even overlap. Any triorthogonal matrix gives rise to a stabilizer code with a transversal T gate on all logical qubits, possibly augmented by Clifford gates. A powerful numerical method for generating triorthogonal matrices is proposed. Our techniques lead to a twofold overhead reduction for distilling magic states with accuracy ε∼10-12 compared with previously known protocols. © 2012 American Physical Society.
Srinivasan Arunachalam, Sergey Bravyi, et al.
TQC 2023
Sergey Bravyi, Anirban Chowdhury, et al.
QIP 2024
Sergey Bravyi, David Gosset, et al.
Journal of Mathematical Physics
Sergey Bravyi, Matthew B. Hastings
Commun. Math. Phys.