GoKawiilWe acknowledge the entire Quantinuum team for their many contributions towards successful operation of the H2 quantum computer and Honeywell for fabricating the trap used in this experiment. We thank K. Meichanetzidis, C. Langer, G. Vittorini, S. Erickson, J. Hostetter and D. Liefer for helpful comments on the manuscript and D. Mills for useful discussions. S.A.M. contributed to the construction of the experimental apparatus while at Quantinuum. Fermioniq was supported by the Dutch National Growth Fund (NGF), as part of the Quantum Delta NL programme. W.K., M.K. and F.P. acknowledge support from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy-EXC-2111-390814868, TRR 360 - 492547816 and DFG grant nos. KN1254/1-2, KN1254/2-1 and FOR 5522 (project-id 499180199), the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 851161), the European Union (grant agreement no. 101169765), as well as the Munich Quantum Valley, which is supported by the Bavarian state government with funds from the Hightech Agenda Bayern Plus. E.G. acknowledges funding by the Bavarian Ministry of Economic Affairs, Regional Development and Energy (StMWi) under project Bench-QC (DIK0425/01). M.S.R. acknowledges funding from the 2024 Google PhD Fellowship, the NCCR MARVEL, a National Centre of Competence in Research, financed by the Swiss National Science Foundation (grant number 205602), and the Swiss National Science Foundation (grant number 200021-219329). Sparse Pauli dynamics simulation work at Caltech was supported by the US Department of Energy, Office of Science, National Quantum Information Science Research Centers, Quantum Systems Accelerator. The belief propagation tensor network algorithm development at Caltech was supported by the US Department of Energy, Office of Science, Basic Energy Sciences and Advanced Scientific Computing Research, Quantum Utility through Advanced Computational Quantum Algorithms.
Digital quantum magnetism on a trapped-ion quantum computer
Why This Matters
This research demonstrates the use of a trapped-ion quantum computer to simulate digital quantum magnetism, showcasing advancements in quantum simulation capabilities. Such progress is crucial for developing more powerful quantum technologies that can tackle complex problems across physics, chemistry, and materials science, ultimately benefiting both the industry and consumers by paving the way for innovative applications.
Key Takeaways
- First successful simulation of quantum magnetism on a trapped-ion platform.
- Highlights the collaborative effort and funding supporting quantum computing advancements.
- Marks a step forward in scalable quantum simulations with potential real-world impacts.
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