Digitized adiabatic quantum computing with a superconducting circuit.

@article{Barends2016DigitizedAQ,
  title={Digitized adiabatic quantum computing with a superconducting circuit.},
  author={Rami Barends and Alireza Shabani and Lucas Lamata and Julian Kelly and Antonio Mezzacapo and U. Las Heras and Ryan Babbush and Austin G. Fowler and Brooks Campbell and Yu Chen and Z. Chen and Benjamin Chiaro and Andrew Dunsworth and Evan Jeffrey and Erik Lucero and Anthony Megrant and Josh Mutus and Matthew Neeley and Charles J. Neill and P. J. J. O’Malley and Chris Quintana and Pedram Roushan and Daniel Thomas Sank and Amit Vainsencher and J. Wenner and Theodore White and Enrique Solano and Hartmut Neven and John M. Martinis},
  journal={Nature},
  year={2016},
  volume={534 7606},
  pages={
          222-6
        }
}
Quantum mechanics can help to solve complex problems in physics and chemistry, provided they can be programmed in a physical device. In adiabatic quantum computing, a system is slowly evolved from the ground state of a simple initial Hamiltonian to a final Hamiltonian that encodes a computational problem. The appeal of this approach lies in the combination of simplicity and generality; in principle, any problem can be encoded. In practice, applications are restricted by limited connectivity… 
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