Efficient simulation of logical magic state preparation protocols
Samyak Surti, Lucas Daguerre, Isaac H. Kim
TL;DR
This work presents a scalable framework for simulating logical magic state preparation (MSP) protocols under circuit-level Pauli noise by showing that circuit-level errors propagate to a Clifford error at the end of the circuit. Central to the approach is the Pauli-Square-Root Clifford (PSC) structure, which enables a canonical decomposition of MSP circuits into end-of-circuit Clifford propagations and a subsequent stabilizer-based fidelity estimation. The authors develop phase-insensitive (Pauli-rank) and phase-sensitive (stabilizer-rank) fidelity estimation methods, and validate the technique with a proof-of-principle MSP on a Steane code, achieving accurate results with substantial speedups over full state-vector simulations. The framework applies to a broad class of MSP protocols, including code-switching, magic-state cultivation, and distillation, and yields polynomial-time scaling in the number of qubits and the target magic state's non-stabilizerness. This work enables practical benchmarking and analysis of large-scale MSP protocols without resorting to exhaustive simulations.
Abstract
Developing space- and time-efficient logical magic state preparation protocols will likely be an essential step towards building a large-scale fault-tolerant quantum computer. Motivated by this need, we introduce a scalable method for simulating logical magic state preparation protocols under the standard circuit-level noise model. When applied to protocols based on code switching, magic state cultivation, and magic state distillation, our method yields a complexity polynomial in (i) the number of qubits and (ii) the non-stabilizerness, e.g., stabilizer rank or Pauli rank, of the target encoded magic state. The efficiency of our simulation method is rooted in a curious fact: every circuit-level Pauli error in these protocols propagates to a Clifford error at the end. This property is satisfied by a large family of protocols, including those that repeatedly measure a transversal Clifford that squares to a Pauli. We provide a proof-of-principle numerical simulation that prepares a magic state using such logical Clifford measurements. Our work enables practical simulation of logical magic state preparation protocols without resorting to approximations or resource-intensive state-vector simulations.
