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Research PaperResearchia:202609.17015

Comparing magic state cultivation methods using matrix product states

Tom Hartweg

Abstract

Magic state cultivation prepares high-fidelity magic states at low expected space-time costs; however, the exact performance of some schemes is unsettled due to the difficulty in simulating non-Clifford circuits. Here, we use matrix-product states (MPS) based methods to compute the exact performance of two types of fold-transversal cultivation schemes: (i) the Sahay et al method based on the regular surface code S gate, and (ii) a method we propose based on a partially fault-tolerant fold-transv...

Submitted: September 17, 2026Subjects: Quantum Physics; Quantum Computing

Description / Details

Magic state cultivation prepares high-fidelity magic states at low expected space-time costs; however, the exact performance of some schemes is unsettled due to the difficulty in simulating non-Clifford circuits. Here, we use matrix-product states (MPS) based methods to compute the exact performance of two types of fold-transversal cultivation schemes: (i) the Sahay et al method based on the regular surface code S gate, and (ii) a method we propose based on a partially fault-tolerant fold-transversal S gate. We show that for the former protocol at d=5d=5, the T|T\rangle output reaches similar logical error rates to the S|S\rangle output, traditionally used as a cheap full Clifford proxy. This contrasts with the 10×\sim10\times discrepancy reported for the d=5d=5 colour-code scheme of Gidney et al. We also find that our new d=5d=5 scheme has 1.3×\sim1.3\times lower expected space-time cost while still reaching 10910^{-9} logical error rate. We show that MPS and Clifford-augmented MPS (CAMPS) perform on par with or even better than the recently introduced near-Clifford simulator Clifft on the hardest d=5d=5 regular surface code scheme. Additionally, to speed up simulation, we propose a new pre-screening method based on simple Pauli propagation, lowering by up to three orders of magnitude the required number of exact simulations, and use several simulator-agnostic sampling methods such as subset sampling.


Source: arXiv:2609.19116v1 - http://arxiv.org/abs/2609.19116v1 PDF: https://arxiv.org/pdf/2609.19116v1 Original Link: http://arxiv.org/abs/2609.19116v1

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Date:
Sep 17, 2026
Topic:
Quantum Computing
Area:
Quantum Physics
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