202 research outputs found
Quantization of generic chaotic 3D billiard with smooth boundary II: structure of high-lying eigenstates
This is the first survey of highly excited eigenstates of a chaotic 3D
billiard. We introduce a strongly chaotic 3D billiard with a smooth boundary
and we manage to calculate accurate eigenstates with sequential number (of a
48-fold desymmetrized billiard) about 45,000. Besides the brute-force
calculation of 3D wavefunctions we propose and illustrate another two
representations of eigenstates of quantum 3D billiards: (i) normal derivative
of a wavefunction over the boundary surface, and (ii) ray - angular momentum
representation. The majority of eigenstates is found to be more or less
uniformly extended over the entire energy surface, as expected, but there is
also a fraction of strongly localized - scarred eigenstates which are localized
either (i) on to classical periodic orbits or (ii) on to planes which carry
(2+2)-dim classically invariant manifolds, although the classical dynamics is
strongly chaotic and non-diffusive.Comment: 12 pages in plain Latex (5 figures in PCL format available upon
request) Submitted to Phys.Lett.
Super-diffusion in one-dimensional quantum lattice models
We identify a class of one-dimensional spin and fermionic lattice models
which display diverging spin and charge diffusion constants, including several
paradigmatic models of exactly solvable strongly correlated many-body dynamics
such as the isotropic Heisenberg spin chains, the Fermi-Hubbard model, and the
t-J model at the integrable point. Using the hydrodynamic transport theory, we
derive an analytic lower bound on the spin and charge diffusion constants by
calculating the curvature of the corresponding Drude weights at half filling,
and demonstrate that for certain lattice models with isotropic interactions
some of the Noether charges exhibit super-diffusive transport at finite
temperature and half filling.Comment: 4 pages + appendices, v2 as publishe
Dynamical properties of a particle in a wave packet: scaling invariance and boundary crisis
Some dynamical properties present in a problem concerning the acceleration of
particles in a wave packet are studied. The dynamics of the model is described
in terms of a two-dimensional area preserving map. We show that the phase space
is mixed in the sense that there are regular and chaotic regions coexisting. We
use a connection with the standard map in order to find the position of the
first invariant spanning curve which borders the chaotic sea. We find that the
position of the first invariant spanning curve increases as a power of the
control parameter with the exponent 2/3. The standard deviation of the kinetic
energy of an ensemble of initial conditions obeys a power law as a function of
time, and saturates after some crossover. Scaling formalism is used in order to
characterize the chaotic region close to the transition from integrability to
nonintegrability and a relationship between the power law exponents is derived.
The formalism can be applied in many different systems with mixed phase space.
Then, dissipation is introduced into the model and therefore the property of
area preservation is broken, and consequently attractors are observed. We show
that after a small change of the dissipation, the chaotic attractor as well as
its basin of attraction are destroyed, thus leading the system to experience a
boundary crisis. The transient after the crisis follows a power law with
exponent -2.Comment: Chaos, Solitons & Fractals, 201
Engineering fidelity echoes in Bose-Hubbard Hamiltonians
We analyze the fidelity decay for a system of interacting bosons described by
a Bose-Hubbard Hamiltonian. We find echoes associated with "non-universal"
structures that dominate the energy landscape of the perturbation operator.
Despite their classical origin, these echoes persist deep into the quantum
(perturbative) regime and can be described by an improved random matrix
modeling. In the opposite limit of strong perturbations (and high enough
energies), classical considerations reveal the importance of self-trapping
phenomena in the echo efficiency.Comment: 6 pages, use epl2.cls class, 5 figures Cross reference with nlin,
quant-phy
Entanglement in a periodic quench
We consider a chain of free electrons with periodically switched dimerization
and study the entanglement entropy of a segment with the remainder of the
system. We show that it evolves in a stepwise manner towards a value
proportional to the length of the segment and displays in general slow
oscillations. For particular quench periods and full dimerization an explicit
solution is given. Relations to equilibrium lattice models are pointed out.Comment: 19 pages, 12 figures, 5 references adde
Chaos and Complexity of quantum motion
The problem of characterizing complexity of quantum dynamics - in particular
of locally interacting chains of quantum particles - will be reviewed and
discussed from several different perspectives: (i) stability of motion against
external perturbations and decoherence, (ii) efficiency of quantum simulation
in terms of classical computation and entanglement production in operator
spaces, (iii) quantum transport, relaxation to equilibrium and quantum mixing,
and (iv) computation of quantum dynamical entropies. Discussions of all these
criteria will be confronted with the established criteria of integrability or
quantum chaos, and sometimes quite surprising conclusions are found. Some
conjectures and interesting open problems in ergodic theory of the quantum many
problem are suggested.Comment: 45 pages, 22 figures, final version, at press in J. Phys. A, special
issue on Quantum Informatio
Is efficiency of classical simulations of quantum dynamics related to integrability?
Efficiency of time-evolution of quantum observables, and thermal states of
quenched hamiltonians, is studied using time-dependent density matrix
renormalization group method in a family of generic quantum spin chains which
undergo a transition from integrable to non-integrable - quantum chaotic case
as control parameters are varied. Quantum states (observables) are represented
in terms of matrix-product-operators with rank D_\epsilon(t), such that
evolution of a long chain is accurate within fidelity error \epsilon up to time
t. We find that rank generally increases exponentially, D_\epsilon(t) \propto
\exp(const t), unless the system is integrable in which case we find polynomial
increase.Comment: 4 pages; v2. added paragraph discussing pure state
Can chaotic quantum energy levels statistics be characterized using information geometry and inference methods?
In this paper, we review our novel information geometrodynamical approach to
chaos (IGAC) on curved statistical manifolds and we emphasize the usefulness of
our information-geometrodynamical entropy (IGE) as an indicator of chaoticity
in a simple application. Furthermore, knowing that integrable and chaotic
quantum antiferromagnetic Ising chains are characterized by asymptotic
logarithmic and linear growths of their operator space entanglement entropies,
respectively, we apply our IGAC to present an alternative characterization of
such systems. Remarkably, we show that in the former case the IGE exhibits
asymptotic logarithmic growth while in the latter case the IGE exhibits
asymptotic linear growth. At this stage of its development, IGAC remains an
ambitious unifying information-geometric theoretical construct for the study of
chaotic dynamics with several unsolved problems. However, based on our recent
findings, we believe it could provide an interesting, innovative and
potentially powerful way to study and understand the very important and
challenging problems of classical and quantum chaos.Comment: 21 page
Estimating the number of neurons in multi-neuronal spike trains
A common way of studying the relationship between neural activity and
behavior is through the analysis of neuronal spike trains that are recorded
using one or more electrodes implanted in the brain. Each spike train typically
contains spikes generated by multiple neurons. A natural question that arises
is "what is the number of neurons generating the spike train?"; This
article proposes a method-of-moments technique for estimating . This
technique estimates the noise nonparametrically using data from the silent
region of the spike train and it applies to isolated spikes with a possibly
small, but nonnegligible, presence of overlapping spikes. Conditions are
established in which the resulting estimator for is shown to be strongly
consistent. To gauge its finite sample performance, the technique is applied to
simulated spike trains as well as to actual neuronal spike train data.Comment: Published in at http://dx.doi.org/10.1214/10-AOAS371 the Annals of
Applied Statistics (http://www.imstat.org/aoas/) by the Institute of
Mathematical Statistics (http://www.imstat.org
Dual symplectic classical circuits: An exactly solvable model of many-body chaos
We propose a general exact method of calculating dynamical correlation
functions in dual symplectic brick-wall circuits in one dimension. These are
deterministic classical many-body dynamical systems which can be interpreted in
terms of symplectic dynamics in two orthogonal (time and space) directions. In
close analogy with quantum dual-unitary circuits, we prove that two-point
dynamical correlation functions are non-vanishing only along the edges of the
light cones. The dynamical correlations are exactly computable in terms of a
one-site Markov transfer operator, which is generally of infinite
dimensionality. We test our theory in a specific family of dual-symplectic
circuits, describing the dynamics of a classical Floquet spin chain.
Remarkably, for these models, the rotational symmetry leads to a transfer
operator with a block diagonal form on the basis of spherical harmonics. This
allows us to obtain analytical predictions for simple local observables. We
demonstrate the validity of our theory by comparison with Montecarlo
simulations, displaying excellent agreement for different choices of
observables.Comment: 16 pages, 5 figure
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