2012
DOI: 10.1103/physreva.86.052306
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Feedback-controlled adiabatic quantum computation

Abstract: We propose a simple feedback-control scheme for adiabatic quantum computation with superconducting flux qubits. The proposed method makes use of existing on-chip hardware to monitor the ground state curvature, which is then used to control the computation speed in order to maximise the success probability. We show that this scheme can provide a polynomial speed-up in performance and that it is possible to choose a suitable set of feedback-control parameters for an arbitrary problem Hamiltonian.

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Cited by 14 publications
(8 citation statements)
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“…In particular, the validity of the adiabatic theorem has been under intensive studies both theoretically and experimentally since it was proposed, and much of these efforts were devoted to the rigorous description of the sufficient quantitative conditions of adiabatic theorem, and the estimation of the error accumulated over a long time [10,14,15,16]. Once the exact knowledge on the adiabatic process is available, it is straightforward to apply the results to the optimal design of adiabatic control on specific systems [17,18]. The most interesting progress is that the validity of the adiabatic theorem itself has been challenged in the recent decade [19,20,21,22,23,24,25,26,27], both by strict analysis and counterexamples.…”
Section: Introductionmentioning
confidence: 99%
“…In particular, the validity of the adiabatic theorem has been under intensive studies both theoretically and experimentally since it was proposed, and much of these efforts were devoted to the rigorous description of the sufficient quantitative conditions of adiabatic theorem, and the estimation of the error accumulated over a long time [10,14,15,16]. Once the exact knowledge on the adiabatic process is available, it is straightforward to apply the results to the optimal design of adiabatic control on specific systems [17,18]. The most interesting progress is that the validity of the adiabatic theorem itself has been challenged in the recent decade [19,20,21,22,23,24,25,26,27], both by strict analysis and counterexamples.…”
Section: Introductionmentioning
confidence: 99%
“…The stochastic Pechukas equations, Eq. ( 6) is independent of any assumptions on the nature of the noise, therefore applicable to a wide range of stochastic systems 16,23 . Using this formalism, we investigate the conditions for the applicability of the Landau-Zener model We further extend this description to explore the impacts of external noise on these conditions.…”
Section: The Pechukas Model and The Evolution Of Eigenstate Coefficientsmentioning
confidence: 99%
“…The contribution from the parametrically evolved term λ (t) ZH b , is determined through the Pechukas equations [8][9][10][11][12][13][14][20][21][22] . Taking the Hamiltonian that describes the Pechukas gas as H(λ(t)) = (xm−xn) 2 , with unit mass, one can derive a closed set of first order ordinary differential equations that describe the "position" (x m ), "velocity" (v m ) and "relative angular momentum" (l mn ), as expressed in Eq.…”
Section: Pechukas Equationsmentioning
confidence: 99%
“…The contribution from the parametrically evolved term λ (t) ZH b , is determined through the Pechukas equations [8][9][10][11][12][13][14][20][21][22] . Taking the Hamiltonian that describes the Pechukas gas as…”
Section: Pechukas Equationsmentioning
confidence: 99%