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Back Cover: Numeric Optimization for Configurable, Parallel, Error‐Robust Entangling Gates in Large Ion Registers (Adv. Quantum Technol. 11/2020)
Author(s) -
Bentley Christopher D. B.,
Ball Harrison,
Biercuk Michael J.,
Carvalho Andre R. R.,
Hush Michael R.,
Slatyer Harry J.
Publication year - 2020
Publication title -
advanced quantum technologies
Language(s) - English
Resource type - Journals
ISSN - 2511-9044
DOI - 10.1002/qute.202070113
Subject(s) - robustness (evolution) , computer science , quantum , ion , framing (construction) , parallel computing , quantum computer , algorithm , computer engineering , physics , quantum mechanics , chemistry , engineering , biochemistry , structural engineering , gene
Novel optimization tools now enable high‐efficiency parallel entangling gates within a register of trapped‐ions. Using quantum control it becomes possible to simultaneously target arbitrary groups of ions for execution of entangling operations while others remain unaffected, while also adding error‐robustness against trap instabilities. By framing the problem of obtaining target quantum gates using complex drives, and exploiting computationally efficient numeric optimization, Michael J. Biercuk and co‐workers obtain flexible, reconfigurable, and approximately time‐optimal control solutions (see article number 2000044).