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Quantum computing dataset of maximum independent set problem on king lattice of over hundred Rydberg atoms.

Kangheun KimMinhyuk KimJuyoung ParkAndrew ByunJaewook Ahn
Published in: Scientific data (2024)
Finding the maximum independent set (MIS) of a large-size graph is a nondeterministic polynomial-time (NP)-complete problem not efficiently solvable with classical computations. Here, we present a set of quantum adiabatic computing data of Rydberg-atom experiments performed to solve the MIS problem of up to 141 atoms randomly arranged on the king lattice. A total of 582,916 events of Rydberg-atom measurements are collected for experimental MIS solutions of 733,853 different graphs. We provide the raw image data along with the entire binary determinations of the measured many-body ground states and the classified graph data, to offer bench-mark testing and advanced data-driven analyses for validation of the performance and system improvements of the Rydberg-atom approach.
Keyphrases
  • molecular dynamics
  • electronic health record
  • big data
  • convolutional neural network
  • neural network