Quantum 2025 – scientific programme
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FRI: Friday Contributed Sessions
FRI 6: Quantum Error Mitigation
FRI 6.3: Talk
Friday, September 12, 2025, 11:15–11:30, ZHG007
Quantum error mitigation combining subspace and probabilistic techniques — Prachi Sharma1, João C. Getelina2, Thomas Iadecola2, 3, Yong-Xin Yao2, 3, and •Peter P. Orth1 — 1Department of Physics, Saarland University, 66123 Saarbrücken, Germany — 2Ames National Laboratory, Ames, Iowa 50011, USA — 3Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011, USA
As quantum computing advances toward real-world applications, mitigating errors remains a critical challenge, particularly when determining ground state energies of many-body models on noisy quantum hardware. To address this, synergistic approaches to quantum error mitigation are necessary, combining the strengths of multiple techniques to ensure more reliable quantum operations. In this work, we integrate quantum subspace expansion methods with probabilistic error reduction techniques to address these challenges. We apply this framework to ground state energy calculations of a 16-site mixed field Ising model on IBM quantum hardware and noisy simulators using the Variational Quantum Eigensolver (VQE) [1]. Our results demonstrate a two order-of-magnitude improvement in the accuracy of the ground state energy on IBM’s noisy backend simulators, highlighting the effectiveness of this approach in systematically enhancing the reliability of quantum computations.
[1] J. Getelina et al., APL Quantum 1, 036127 (2024).
Keywords: variational quantum algorithm; quantum error mitigation; quantum subspace methods; quantum spin models; ground state energy calculations