Invested and Potential Magic Resources in Measurement-Based Quantum Computation

Magic states and magic gates are crucial for achieving universal quantum computation, but important questions about how magic resources should be implemented to attain maximal quantum advantage have remained unexplored, especially in the context of measurement-based quantum computation (MQC). This Letter bridges the gap between MQC and the resource theory of magic by introducing the key concepts of "invested" and "potential" magic resources. The former quantifies the magic cost associated with MQC, serving as both a resource witness and a feasible upper bound for the practical realization, and is gate-order independent; the latter represents the maximal achievable magic resource in a given graph structure defining MQC. We utilize both concepts to analyze the quantum Fourier transform (QFT) and provide a fresh perspective on the universality of MQC, highlighting the crucial role of non-Pauli measurements in injecting magic. In particular, we theoretically prove that high-dimensional graphs can generate an exponential advantage of MQC compared to classical computing. We demonstrate experimentally our theoretical findings in a high-fidelity four-photon setup, surpassing conventional magic state injection methods in both qubit efficiency and resource utilization. Our findings pave the way for future research exploring magic resource optimization and novel distillation schemes within the MQC framework, advancing fault-tolerant universal quantum computation.

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Publication Details

Journal
Physical Review Letters
Published
2025-10-16
DOI
https://doi.org/10.1103/4yyv-hggz
Citations
1
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
2.48
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Invested and Potential Magic Resources in Measurement-Based Quantum Computation

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Physical Review Letters
Quantum Computing Algorithms and Architecture
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article

Invested and Potential Magic Resources in Measurement-Based Quantum Computation

Gong-Chu Li, Lei Chen, Alioscia Hamma, Chuan‐Feng Li, Si-Qi Zhang, H. Eric Xu, Xiumei Hong, Yuancheng Liu, Guang-Can Guo, You Zhou, Geng Chen
article en
1 citations

Abstract

Magic states and magic gates are crucial for achieving universal quantum computation, but important questions about how magic resources should be implemented to attain maximal quantum advantage have remained unexplored, especially in the context of measurement-based quantum computation (MQC). This Letter bridges the gap between MQC and the resource theory of magic by introducing the key concepts of "invested" and "potential" magic resources. The former quantifies the magic cost associated with MQC, serving as both a resource witness and a feasible upper bound for the practical realization, and is gate-order independent; the latter represents the maximal achievable magic resource in a given graph structure defining MQC. We utilize both concepts to analyze the quantum Fourier transform (QFT) and provide a fresh perspective on the universality of MQC, highlighting the crucial role of non-Pauli measurements in injecting magic. In particular, we theoretically prove that high-dimensional graphs can generate an exponential advantage of MQC compared to classical computing. We demonstrate experimentally our theoretical findings in a high-fidelity four-photon setup, surpassing conventional magic state injection methods in both qubit efficiency and resource utilization. Our findings pave the way for future research exploring magic resource optimization and novel distillation schemes within the MQC framework, advancing fault-tolerant universal quantum computation.

Physical Review LettersVol. 135(16)
University of Science and Technology of China (CN), Anhui University (CN), Fudan University (CN), Hefei University (CN), Quantum (Australia) (AU), Istituto Nazionale di Fisica Nucleare, Sezione di Napoli (IT), QuantumCTek (China) (CN), Scuola Superiore Meridionale (IT), University of Naples Federico II (IT)
Openalex Percentile: Top 8%
Quantum Computing Algorithms and Architecture
2.48
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