aiqbench analysis
MPStab represents a significant advancement in classical simulation methods by merging stabilizer formalism with tensor networks, offering researchers new tools to probe the boundaries of quantum advantage. This hybrid approach allows for efficient modeling of complex quantum circuits that would otherwise be computationally prohibitive using standard techniques alone. The release of this open-source package provides immediate utility for developers working on both near-term error mitigation and long-term fault-tolerant algorithm design.
MPStab: an hybrid stabilizers tensor-network quantum circuit simulator
arXiv:2607.24258v1 Announce Type: new Abstract: The development of techniques for simulating quantum systems using classical computers is a paramount task for two primary reasons: i) there exist configurations for which classical computers are remarkably effective and will continue to be so, and ii) exploring the limits of classical computation facilitates the identification of the regimes of competence for quantum computers. In this work, we present MPStab, a quantum circuit simulator based on a hybrid formalism combining stabilizers and tensor networks, recently introduced in Ref. [1]. We present the package, its core functionalities, and explore its performances in a few interesting simulation regimes.
Abstract:The development of techniques for simulating quantum systems using classical computers is a paramount task for two primary reasons: i) there exist configurations for which classical computers are remarkably effective and will continue to be so, and ii) exploring the limits of classical computation facilitates the identification of the regimes of competence for quantum computers. In this work, we present MPStab, a quantum circuit simulator based on a hybrid formalism combining stabilizers and tensor networks, recently introduced in Ref. [1]. We present the package, its core functionalities, and explore its performances in a few interesting simulation regimes.
13 pages and 9 figures. Package code open source at: this https URL
arXiv:2607.24258 [quant-ph]
(or arXiv:2607.24258v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2607.24258 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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Full text under the publisher's open licence · 201 words
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