101,449 research outputs found
Finding Exponential Product Formulas of Higher Orders
In the present article, we review a continual effort on generalization of the
Trotter formula to higher-order exponential product formulas. The exponential
product formula is a good and useful approximant, particularly because it
conserves important symmetries of the system dynamics. We focuse on two
algorithms of constructing higher-order exponential product formulas. The first
is the fractal decomposition, where we construct higher-order formulas
recursively. The second is to make use of the quantum analysis, where we
compute higher-order correction terms directly. As interludes, we also have
described the decomposition of symplectic integrators, the approximation of
time-ordered exponentials, and the perturbational composition.Comment: 22 pages, 9 figures. To be published in the conference proceedings
''Quantum Annealing and Other Optimization Methods," eds. B.K.Chakrabarti and
A.Das (Springer, Heidelberg
Aging dynamics of ferromagnetic and reentrant spin glass phases in stage-2 CuCCl graphite intercalation compound
Aging dynamics of a reentrant ferromagnet stage-2
CuCoCl graphite intercalation compound has been studied
using DC magnetic susceptibility. This compound undergoes successive
transitions at the transition temperatures ( K) and
( K). The relaxation rate exhibits a
characteristic peak at below . The peak time as a
function of temperature shows a local maximum around 5.5 K, reflecting a
frustrated nature of the ferromagnetic phase. It drastically increases with
decreasing temperature below . The spin configuration imprinted at the
stop and wait process at a stop temperature () during the
field-cooled aging protocol, becomes frozen on further cooling. On reheating,
the memory of the aging at is retrieved as an anomaly of the
thermoremnant magnetization at . These results indicate the occurrence
of the aging phenomena in the ferromagnetic phase () as well
as in the reentrant spin glass phase ().Comment: 9 pages, 9 figures; submitted to Physical Review
The Free Energy and the Scaling Function of the Ferromagnetic Heisenberg Chain in a Magnetic Field
A nonlinear susceptibilities (the third derivative of a magnetization
by a magnetic field ) of the =1/2 ferromagnetic Heisenberg chain and the
classical Heisenberg chain are calculated at low temperatures In both
chains the nonlinear susceptibilities diverge as and a linear
susceptibilities diverge as The arbitrary spin Heisenberg
ferromagnet has a scaling relation between and
The scaling function
=(2/3)-(44/135) + O() is common to all values of spin
Comment: 16 pages (revtex 2.0) + 6 PS figures upon reques
Structure of the breakpoint region in CVC of the intrinsic Josephson junctions
A fine structure of the breakpoint region in the current-voltage
characteristics of the coupled intrinsic Josephson junctions in the layered
superconductors is found. We establish a correspondence between the features in
the current-voltage characteristics and the character of the charge
oscillations in superconducting layers in the stack and explain the origin of
the breakpoint region structure.Comment: 5 pages, 5 figures. Accepted for Phys.Rev.
Long-distance final-state interactions and J/psi decay
To understand the short-distance vs long-distance final-state interactions,
we have performed a detailed amplitude analysis for the two-body decay, J/psi
into vector and pseudoscalar mesons. The current data favor a large relative
phase nearly 90 degrees between the three-gluon and one-photon decay
amplitudes. The source of this phase is apparently in the long-distance
final-state interaction. Nothing anomalous is found in the magnitudes of the
three-gluon and one-photon amplitudes. We discuss implications of this large
relative phase in the weak decay of heavy particles.Comment: 11 pages, RevTe
A Second-Order Distributed Trotter-Suzuki Solver with a Hybrid Kernel
The Trotter-Suzuki approximation leads to an efficient algorithm for solving
the time-dependent Schr\"odinger equation. Using existing highly optimized CPU
and GPU kernels, we developed a distributed version of the algorithm that runs
efficiently on a cluster. Our implementation also improves single node
performance, and is able to use multiple GPUs within a node. The scaling is
close to linear using the CPU kernels, whereas the efficiency of GPU kernels
improve with larger matrices. We also introduce a hybrid kernel that
simultaneously uses multicore CPUs and GPUs in a distributed system. This
kernel is shown to be efficient when the matrix size would not fit in the GPU
memory. Larger quantum systems scale especially well with a high number nodes.
The code is available under an open source license.Comment: 11 pages, 10 figure
- …
