arXiv (Cornell University),
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
These
are
exciting
times
for
quantum
physics
as
new
technologies
expected
to
soon
transform
computing
at
an
unprecedented
level.
Simultaneously
network
science
is
flourishing
proving
ideal
mathematical
and
computational
framework
capture
the
complexity
of
large
interacting
systems.
Here
we
provide
a
comprehensive
timely
review
rising
field
complex
networks.
On
one
side,
this
subject
key
harness
potential
networks
in
order
design
principles
boost
enhance
algorithms
technologies.
other
side
can
generation
infer
significant
properties.
The
features
fundamental
research
questions
diverse
designing
shape
Hamiltonians
their
corresponding
phase
diagram,
taming
many-body
systems
with
theory,
revealing
how
predict
novel
properties
transitions,
studying
interplay
between
architecture,
topology
performance
communication
Our
covers
all
these
multifaceted
aspects
self-contained
presentation
aimed
both
network-curious
physicists
quantum-curious
theorists.
We
that
unifies
along
four
main
lines:
network-generalized,
quantum-applied,
quantum-generalized
quantum-enhanced.
Finally
draw
attention
connections
lines,
which
lead
opportunities
discoveries
interface
science.
Ginestra
Bianconi
(QML,
UK).Throughout
this
Ph.D.
journey,
I
am
also
grateful
for
the
several
seminar
and
conference
opportunities
where
get
to
know
topology
geometry
research
arXiv (Cornell University),
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
Higher-order
networks
are
gaining
significant
scientific
attention
due
to
their
ability
encode
the
many-body
interactions
present
in
complex
systems.
However,
higher-order
have
limitation
that
they
only
capture
of
same
type.
To
address
this
limitation,
we
a
mathematical
framework
determines
topology
multiplex
and
illustrates
interplay
between
dynamics.
Specifically,
examine
diffusion
topological
signals
associated
not
nodes
but
also
links
higher-dimensional
simplices
simplicial
complexes.
We
leverage
on
ubiquitous
presence
overlap
couple
dynamics
among
layers,
introducing
definition
Hodge
Laplacians
Dirac
operators.
show
spectral
properties
these
operators
determine
Betti
numbers.
Our
numerical
investigation
synthetic
real
(connectome,
microbiome)
complexes
indicates
coupling
layers
can
either
speed
up
or
slow
down
signals.
This
is
very
general
be
applied
study
generic
systems
with
multiple
types.
In
particular,
results
might
find
applications
brain
which
understood
both
multilayer
higher-order.
arXiv (Cornell University),
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
We
propose
a
theoretical
framework
that
explains
how
the
mass
of
simple
and
higher-order
networks
emerges
from
their
topology
geometry.
use
discrete
topological
Dirac
operator
to
define
an
action
for
massless
self-interacting
field
inspired
by
Nambu-Jona
Lasinio
model.
The
network
is
strictly
speaking
this
defined
on
network;
it
results
chiral
symmetry
breaking
model
satisfies
self-consistent
gap
equation.
Interestingly,
shown
depends
its
spectral
properties,
topology,
Due
matter-antimatter
observed
harmonic
modes
operator,
two
possible
definitions
can
be
given.
For
both
definitions,
comes
equation
with
difference
among
encoded
in
value
bare
mass.
Indeed,
determined
either
Betti
number
$β_0$
or
$β_1$
network.
provide
numerical
different
networks,
including
random
graphs,
scale-free,
real
weighted
collaboration
networks.
also
discuss
generalization
these
defining
simplicial
complexes.
dependence
considered
geometry
could
lead
interesting
physics
scenario
which
coupled
dynamical
evolution
underlying
structure.
arXiv (Cornell University),
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
These
are
exciting
times
for
quantum
physics
as
new
technologies
expected
to
soon
transform
computing
at
an
unprecedented
level.
Simultaneously
network
science
is
flourishing
proving
ideal
mathematical
and
computational
framework
capture
the
complexity
of
large
interacting
systems.
Here
we
provide
a
comprehensive
timely
review
rising
field
complex
networks.
On
one
side,
this
subject
key
harness
potential
networks
in
order
design
principles
boost
enhance
algorithms
technologies.
other
side
can
generation
infer
significant
properties.
The
features
fundamental
research
questions
diverse
designing
shape
Hamiltonians
their
corresponding
phase
diagram,
taming
many-body
systems
with
theory,
revealing
how
predict
novel
properties
transitions,
studying
interplay
between
architecture,
topology
performance
communication
Our
covers
all
these
multifaceted
aspects
self-contained
presentation
aimed
both
network-curious
physicists
quantum-curious
theorists.
We
that
unifies
along
four
main
lines:
network-generalized,
quantum-applied,
quantum-generalized
quantum-enhanced.
Finally
draw
attention
connections
lines,
which
lead
opportunities
discoveries
interface
science.