ArticleChemical science2023
Predicting molecular vibronic spectra using time-domain analog quantum simulation.
Article in Chemical science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Quantum simulation of charge and exciton transfer in multi-mode models using engineered reservoirs.Nature communications · 2025Article
- Mini Review: Synergizing Driven Quantum Dynamics, AI, and Quantum Computing for Next-Gen Materials Science.The journal of physical chemistry letters · 2025Review
- Quantum-enhanced multiparameter sensing in a single mode.Science advances · 2025Article
- Quantum simulation of spin-boson models with structured bath.Nature communications · 2025Article
- Perspective on Theoretical and Experimental Advances in Atmospheric Photochemistry.The journal of physical chemistry. A · 2024Review
- Large-scale photonic network with squeezed vacuum states for molecular vibronic spectroscopy.Nature communications · 2024Article
- Seeking a quantum advantage with trapped-ion quantum simulations of condensed-phase chemical dynamics.Nature reviews. Chemistry · 2024Review
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Spectroscopy is one of the most accurate probes of the molecular world. However, predicting molecular spectra accurately is computationally difficult because of the presence of entanglement between electronic and nuclear degrees of freedom. Although quantum computers promise to reduce this computational cost, existing quantum approaches rely on combining signals from individual eigenstates, an approach whose cost grows exponentially with molecule size. Here, we introduce a method for scalable analog quantum simulation of molecular spectroscopy: by performing simulations in the time domain, the number of required measurements depends on the desired spectral range and resolution, not molecular size. Our approach can treat more complicated molecular models than previous ones, requires fewer approximations, and can be extended to open quantum systems with minimal overhead. We present a direct mapping of the underlying problem of time-domain simulation of molecular spectra to the degrees of freedom and control fields available in a trapped-ion quantum simulator. We experimentally demonstrate our algorithm on a trapped-ion device, exploiting both intrinsic electronic and motional degrees of freedom, showing excellent quantitative agreement for a single-mode vibronic photoelectron spectrum of SO
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