• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Anderes
  4. Block Encoding Linear Combinations of Pauli Strings Using the Stabilizer Formalism
 
  • Details
  • Full
Options
January 9, 2026
Paper (Preprint, Research Paper, Review Paper, White Paper, etc.)
Title

Block Encoding Linear Combinations of Pauli Strings Using the Stabilizer Formalism

Title Supplement
Published on arXiv
Abstract
The Quantum Singular Value Transformation (QSVT) provides a powerful framework with the potential for quantum speedups across a wide range of applications. Its core input model is the block encoding framework, in which non-unitary matrices are embedded into larger unitary matrices. Because the gate complexity of the block-encoding subroutine largely determines the overall cost of QSVT-based algorithms, developing new and more efficient block encodings is crucial for achieving practical quantum advantage. In this paper, we introduce a novel method for constructing quantum circuits that block encode linear combinations of Pauli strings. Our approach relies on two key components. First, we apply a transformation that converts the Pauli strings into pairwise anti-commuting ones, making the transformed linear combination unitary and thus directly implementable as a quantum circuit. Second, we employ a correction transformation based on the stabilizer formalism which uses an ancilla register to restore the original Pauli strings. Our method can be implemented with an ancilla register whose size scales logarithmically with the number of system qubits. It can also be extended to larger ancilla registers, which can substantially reduce the overall quantum circuit complexity. We present four concrete examples and use numerical simulations to compare our method's circuit complexity with that of the Linear Combination of Unitaries (LCU) approach. We find that our method achieves circuit complexities comparable to or better than LCU, with possible advantages when the structure of the target operators can be exploited. These results suggest that our approach could enable more efficient block encodings for a range of relevant problems extending beyond the examples analyzed in this work.
Author(s)
Schillo, Niclas
Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO  
Sturm, Andreas
Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO  
Quay, Rüdiger  orcid-logo
Fraunhofer-Institut für Angewandte Festkörperphysik IAF  
Project(s)
Kompetenzzentrum Quantencomputing Baden-Württemberg
Funder
Ministerium für Wirtschaft, Arbeit und Tourismus Baden-Württemberg  
DOI
10.48550/arXiv.2601.05740
Language
English
Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO  
Fraunhofer-Institut für Angewandte Festkörperphysik IAF  
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024