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Showing 1–13 of 13 results
Advanced filters: Author: Ivano Tavernelli Clear advanced filters

  • Studying many-body quantum chaos on current quantum hardware is hindered by noise and limited scalability. Now it is shown that a superconducting processor, combined with error mitigation, can accurately simulate dual-unitary circuit dynamics.

    • Laurin E. Fischer
    • Matea Leahy
    • Sergey N. Filippov
    Research
    Nature Physics
    P: 1-6

  • The carbon allotrope cyclo[16]carbon has been synthesized using on-surface chemistry and characterized with scanning tunnelling microscopy and atomic force microscopy, revealing orbital densities and bond-length alternation, which show it to be doubly anti-aromatic.

    • Yueze Gao
    • Florian Albrecht
    • Leo Gross
    ResearchOpen Access
    Nature
    Volume: 623, P: 977-981

  • Classical computing has inherent limitations in capturing cellular dynamics. This Roadmap article discusses how recent advancements in quantum computing could overcome bottlenecks in spatiotemporal single-cell omics analyses and how it may be integrated into cell-based therapeutics.

    • Aritra Bose
    • Kahn Rhrissorrakrai
    • Jeannette M. Garcia
    Reviews
    Nature Reviews Molecular Cell Biology
    P: 1-15

  • A dye that both maximizes electrolyte compatibility and improves light-harvesting properties has been designed for dye-sensitized solar cells. In cells based on the cobalt(II)/(III) redox mediator, use of the dye resulted in a power-conversion efficiency of 13%, revealing the great potential of porphyrin dyes for future solar cell applications.

    • Simon Mathew
    • Aswani Yella
    • Michael Grätzel
    Research
    Nature Chemistry
    Volume: 6, P: 242-247

  • Quantum algorithms for simulating quantum dynamics have shown promising results to overcome the difficulties from the classical counterparts. This Perspective summarizes the recent developments in the field, and further discusses the limitations and research opportunities towards the goal of quantum advantage.

    • Alexander Miessen
    • Pauline J. Ollitrault
    • Ivano Tavernelli
    Reviews
    Nature Computational Science
    Volume: 3, P: 25-37

  • The ongoing quest in particle physics to discover fundamentally new phenomena necessitates the continuous development of algorithms and technologies. The authors propose a methodology based on quantum machine learning that can identify new phenomena in proton collision experiments, showing that it can outperform its classical counterparts when sufficient quantum computing resources are utilized.

    • Vasilis Belis
    • Kinga Anna Woźniak
    • Sofia Vallecorsa
    ResearchOpen Access
    Communications Physics
    Volume: 7, P: 1-11

  • Quantum simulation of fermion-boson systems is significant in material applications, while limited by the unbounded boson states. By merging variational non-Gaussian transformations and variational quantum Eigensolvers, the authors design a hybrid quantum-classical algorithm suitable for the simulation of strongly correlated electrons coupled to phonons.

    • M. Michael Denner
    • Alexander Miessen
    • Yao Wang
    ResearchOpen Access
    Communications Physics
    Volume: 6, P: 1-10