Sub-Riemannian geometry of measurement-based quantum computation

The computational power of quantum phases of matter with symmetry can be accessed through local measurements, but what is the most efficient way of doing so? In this work we show that minimizing operational resources in measurement-based quantum computation (MBQC) on subsystem symmetric resource states amounts to solving a sub-Riemannian geodesic problem between the identity and the target logical unitary. This reveals a geometric structure underlying MBQC and offers a principled route to optimize quantum processing in computational phases.

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Publication Details

Journal
Physical review. A/Physical review, A
Published
2025-12-24
DOI
https://doi.org/10.1103/zq4l-vwbz
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
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article

Sub-Riemannian geometry of measurement-based quantum computation

Robert Raussendorf, Anonymous
Physical review. A/Physical review, A
Quantum Computing Algorithms and Architecture
article

Sub-Riemannian geometry of measurement-based quantum computation

Robert Raussendorf, Anonymous
article en

Abstract

The computational power of quantum phases of matter with symmetry can be accessed through local measurements, but what is the most efficient way of doing so? In this work we show that minimizing operational resources in measurement-based quantum computation (MBQC) on subsystem symmetric resource states amounts to solving a sub-Riemannian geodesic problem between the identity and the target logical unitary. This reveals a geometric structure underlying MBQC and offers a principled route to optimize quantum processing in computational phases.

Physical review. A/Physical review, AVol. 113(1)
Leibniz University Hannover (DE), University of British Columbia (CA), LZ Technology (United States) (US)
Openalex Percentile: Top 18%
Quantum Computing Algorithms and Architecture
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