ReviewNature reviews. Chemistry2024
Seeking a quantum advantage with trapped-ion quantum simulations of condensed-phase chemical dynamics.
Review in Nature reviews. Chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 23 citations in OpenAlex.
- Oscillator-qubit generalized quantum signal processing: a case study of the uracil cation vibronic model.Chemical science · 2026Article
- Scalable entangling gates on ion qubits via structured light addressing.Science advances · 2026Article
- Quantum simulation of charge and exciton transfer in multi-mode models using engineered reservoirs.Nature communications · 2025Article
- Quantum simulation of spin-boson models with structured bath.Nature communications · 2025Article
- Trapped-ion quantum simulation of electron transfer models with tunable dissipation.Science advances · 2024Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Simulating the quantum dynamics of molecules in the condensed phase represents a longstanding challenge in chemistry. Trapped-ion quantum systems may serve as a platform for the analog-quantum simulation of chemical dynamics that is beyond the reach of current classical-digital simulation. To identify a 'quantum advantage' for these simulations, performance analysis of both analog-quantum simulation on noisy hardware and classical-digital algorithms is needed. In this Review, we make a comparison between a noisy analog trapped-ion simulator and a few choice classical-digital methods on simulating the dynamics of a model molecular Hamiltonian with linear vibronic coupling. We describe several simple Hamiltonians that are commonly used to model molecular systems, which can be simulated with existing or emerging trapped-ion hardware. These Hamiltonians may serve as stepping stones towards the use of trapped-ion simulators for systems beyond the reach of classical-digital methods. Finally, we identify dynamical regimes in which classical-digital simulations seem to have the weakest performance with respect to analog-quantum simulations. These regimes may provide the lowest hanging fruit to make the most of potential quantum advantages.
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Registered trials
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