Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2005-10-14
Phys. Rev. E v.74, p.026208 (2006)
Physics
Condensed Matter
Disordered Systems and Neural Networks
8 pages, 8 figures, research done at http://www.quantware.ups-tlse.fr/
Scientific paper
10.1103/PhysRevE.74.026208
We present numerical and analytical studies of a quantum computer proposed by the Yamamoto group in Phys. Rev. Lett. 89, 017901 (2002). The stable and quantum chaos regimes in the quantum computer hardware are identified as a function of magnetic field gradient and dipole-dipole couplings between qubits on a square lattice. It is shown that a strong magnetic field gradient leads to suppression of quantum chaos.
Lages Jose
Shepelyansky Dima L.
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