17,126 research outputs found
Quantum Annealing and Analog Quantum Computation
We review here the recent success in quantum annealing, i.e., optimization of
the cost or energy functions of complex systems utilizing quantum fluctuations.
The concept is introduced in successive steps through the studies of mapping of
such computationally hard problems to the classical spin glass problems. The
quantum spin glass problems arise with the introduction of quantum
fluctuations, and the annealing behavior of the systems as these fluctuations
are reduced slowly to zero. This provides a general framework for realizing
analog quantum computation.Comment: 22 pages, 7 figs (color online); new References Added. Reviews of
Modern Physics (in press
Divide-and-Conquer Method for Instanton Rate Theory
Ring-polymer instanton theory has been developed to simulate the quantum
dynamics of molecular systems at low temperatures. Chemical reaction rates can
be obtained by locating the dominant tunneling pathway and analyzing
fluctuations around it. In the standard method, calculating the fluctuation
terms involves the diagonalization of a large matrix, which can be unfeasible
for large systems with a high number of ring-polymer beads. Here we present a
method for computing the instanton fluctuations with a large reduction in
computational scaling. This method is applied to three reactions described by
fitted, analytic and on-the-fly ab initio potential-energy surfaces and is
shown to be numerically stable for the calculation of thermal reaction rates
even at very low temperature
Optimal parametrizations of adiabatic paths
The parametrization of adiabatic paths is optimal when tunneling is
minimized. Hamiltonian evolutions do not have unique optimizers. However,
dephasing Lindblad evolutions do. The optimizers are simply characterized by an
Euler-Lagrange equation and have a constant tunneling rate along the path
irrespective of the gap. Application to quantum search algorithms recovers the
Grover result for appropriate scaling of the dephasing. Dephasing rates that
beat Grover imply hidden resources in Lindblad operators.Comment: 4 pages, 2 figures; To prevent from misunderstanding, we clarified
the discussion of an apparent speedup in the Grover algorithm; figures
improved + minor change
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