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Quantum Algorithms
Augmenting Density Matrix Renormalization Group with Matchgates and Clifford circuits
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Authors: Jiale Huang, Xiangjian Qian, ZhenDong Li, Mingpu Qin
Year
2026
Paper ID
25506
Status
Peer-reviewed
Abstract Read
~2 min
Abstract Words
169
Citations
N/A
Abstract
Abstract Matchgates and Clifford circuits are two types of quantum circuits which can be efficiently simulated classically, though the underlying reasons are quite different. Matchgates are essentially the single particle basis transformations in the Majorana fermion representation, which can be easily handled classically, while the Clifford circuits can be efficiently simulated using the tableau method according to the Gottesman-Knill theorem. In this work, we propose a new wave-function ansatz in which matrix product states are augmented with the combination of Matchgates and Clifford circuits (dubbed MCA-MPS) to take advantage of the representing power of all of them. Moreover, the optimization of MCA-MPS can be efficiently implemented within the Density Matrix Renor-malization Group method. Our benchmark results on one-dimensional hydrogen chain show that MCA-MPS can improve the accuracy of the ground-state calculation by several orders of magnitude over MPS with the same bond dimension. This new method provides us a useful approach to study quantum many-body systems. The MCA-MPS ansatz also expands our understanding of classically simulatable quantum many-body states.
Why This Paper Matters
- It adds a 2026 reference point for readers tracking recent quantum research.
- Abstract Matchgates and Clifford circuits are two types of quantum circuits which can be efficiently simulated classically, though the underlying reasons are quite different.
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