.png){kind=icon}
Return
Adaptive quantum computation in changing environments using projective simulation
.png){kind=icon}
OA
AI
DOI：10.1038/srep12874.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Quantum information processing devices need to be robust and stable against external noise and internal imperfections to ensure correct operation. In a setting of measurement-based quantum computation, we explore how an intelligent agent endowed with a projective simulator can act as controller to adapt measurement directions to an external stray field of unknown magnitude in a fixed direction. We assess the agent's learning behavior in static and time-varying fields and explore composition strategies in the projective simulator to improve the agent's performance. We demonstrate the applicability by correcting for stray fields in a measurement-based algorithm for Grover's search. Thereby, we lay out a path for adaptive controllers based on intelligent agents for quantum information tasks.
Keywords:
SEARCH ALGORITHM
IMPLEMENTATION
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3.9
Papers:
28.3W
Citations:
83.5W
Organization
Cited Papers
ShareSavePreparation and characterization of poly(vinyl chloride)/layered double hydroxide nanocomposites with enhanced thermal stability.png)
Polymer
PolymerIF0
PREAI
ShareSaveShareSave
View more