Nützel L, Hartmann M, Dreyer H, Granet E (2026)
Publication Type: Journal article
Publication year: 2026
Book Volume: 11
Article Number: 035038
Journal Issue: 3
Estimating molecular ground-state energies is a central application of quantum computing, requiring both the preparation of accurate quantum states and efficient energy readout. Understanding the effect of hardware noise on these experiments is crucial to distinguish errors that have low impact, errors that can be mitigated, and errors that must be reduced at the hardware level. We ran a state preparation and energy measurement protocol on an ion-trap quantum computer, without any non-scalable off-loading of computational tasks to classical computers, and show that leakage errors are the main obstacle to chemical accuracy. More specifically, we apply adiabatic state preparation to prepare the ground state of a six-qubit encoding of the (Formula presented) (Formula presented) molecule and extract its energy using a noise-resilient variant of iterative quantum phase estimation. Our results improve upon the classical HartreeFock energy. Analyzing the effect of hardware noise on the result, we find that while coherent and incoherent noise have little influence, the hardware results are mainly impacted by leakage errors. Absent leakage errors, noisy numerical simulations show that with our experimental settings we would have achieved close to chemical accuracy, even shot noise included. These insights highlight the importance of targeting leakage suppression in future algorithm and hardware development.
APA:
Nützel, L., Hartmann, M., Dreyer, H., & Granet, E. (2026). Ground state energy via adiabatic evolution and phase measurement for a molecular Hamiltonian on an ion-trap quantum computer. Quantum Science and Technology, 11(3). https://doi.org/10.1088/2058-9565/ae7ea8
MLA:
Nützel, Ludwig, et al. "Ground state energy via adiabatic evolution and phase measurement for a molecular Hamiltonian on an ion-trap quantum computer." Quantum Science and Technology 11.3 (2026).
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