at - Automatisierungstechnik,
Journal Year:
2024,
Volume and Issue:
72(1), P. 15 - 21
Published: Jan. 1, 2024
Abstract
In
this
paper,
a
quantum
computer-aided
approach
to
job
scheduling
for
automated
storage
and
retrieval
systems
is
introduced.
The
covers
application
cases,
where
various
objects
need
be
transported
between
positions
the
order
of
transport
operations
can
freely
chosen.
objective
arrange
in
sequence,
cumulative
costs
empty
runs
subsequent
are
minimized.
problem
formulated
as
an
asymmetric
quadratic
unconstrained
binary
optimization
(QUBO)
problem,
which
modeled
nodes
edges,
with
assigned
each
node
edge.
An
Quantum
Approximate
Optimization
Algorithm
(QAOA)
used
solve
QUBO.
Evaluations
have
been
conducted
on
IBM
Q
System
One
computer
Ehningen.
particular,
running
time
solution
QUBO
has
investigated,
well
scalability
respect
required
number
qubits.
Quantum Science and Technology,
Journal Year:
2023,
Volume and Issue:
8(2), P. 024005 - 024005
Published: Jan. 27, 2023
As
quantum
technologies
(QT)
advance,
their
potential
impact
on
and
relation
with
society
has
been
developing
into
an
important
issue
for
exploration.
In
this
paper,
we
investigate
the
topic
of
democratization
in
context
QT,
particularly
computing.
The
paper
contains
three
main
sections.
First,
briefly
introduce
different
theories
democracy
(participatory,
representative,
deliberative)
how
concept
can
be
formulated
respect
to
whether
is
taken
as
intrinsic
or
instrumental
value.
Second,
give
overview
used
QT
field.
Democratization
mainly
adopted
by
companies
working
computing
a
very
narrow
understanding
concept.
Third,
explore
various
narratives
counter-narratives
concerning
QT.
Finally,
general
efforts
such
forms
access,
formation
grassroot
communities
special
interest
groups,
emerging
culture
manifesto
writing,
these
located
within
democracy.
conclusion,
argue
that
although
ongoing
are
necessary
steps
towards
set
technologies,
they
should
not
accepted
sufficient
democratized
We
more
reflexivity
responsiveness
regarding
actions
actors
field,
making
underlying
assumptions
explicit,
result
better
technology
society.
Quantum,
Journal Year:
2025,
Volume and Issue:
9, P. 1659 - 1659
Published: March 12, 2025
This
paper
presents
novel
methods
for
optimizing
multi-controlled
quantum
gates,
which
naturally
arise
in
high-level
programming.
Our
primary
approach
involves
rewriting
U(2)
gates
as
xmlns:mml="http://www.w3.org/1998/Math/MathML">SUO(n232n.
Additionally,
we
can
reduce
CNOTs
Pauli
xmlns:mml="http://www.w3.org/1998/Math/MathML">16n
xmlns:mml="http://www.w3.org/1998/Math/MathML">12n
and
propose
an
optimization
controlled
We
have
implemented
these
optimizations
Ket
programming
platform
demonstrated
significant
reductions
gates.
For
instance,
a
Grover's
algorithm
layer
with
114
qubits,
achieved
reduction
101,252
2,684.
significantly
impacts
execution
time
algorithms,
thereby
enhancing
feasibility
executing
them
on
NISQ
computers.
Journal of Physics A Mathematical and Theoretical,
Journal Year:
2023,
Volume and Issue:
56(45), P. 453001 - 453001
Published: Oct. 6, 2023
Abstract
Quantum
computing
is
gaining
popularity
across
a
wide
range
of
scientific
disciplines
due
to
its
potential
solve
long-standing
computational
problems
that
are
considered
intractable
with
classical
computers.
One
promising
area
where
quantum
has
in
the
speed-up
NP
-hard
optimisation
common
industrial
areas
such
as
logistics
and
finance.
Newcomers
field
who
interested
using
this
technology
do
not
have
an
easily
accessible
source
information
on
current
capabilities
computers
algorithms.
This
paper
aims
provide
comprehensive
overview
theory
techniques
their
practical
application,
focusing
near-term
for
noisy
intermediate
scale
devices.
The
starts
by
drawing
parallels
between
problems,
highlighting
conceptual
similarities
differences.
Two
main
paradigms
hardware
then
discussed:
analogue
gate-based
While
analog
devices
annealers
effective
some
they
limitations
cannot
be
used
universal
computation.
In
contrast,
offer
computation,
but
face
challenges
accurate
gate
implementation.
provides
detailed
mathematical
discussion
references
key
works
field,
well
more
relevant
examples.
most
popular
computers,
approximate
algorithm
alternating
operator
ansatz
framework,
discussed
detail.
However,
it
still
unclear
whether
these
will
yield
advantage,
even
advancements
noise
reduction.
concludes
facing
need
further
research
development
identify
new,
methods
achieving
advantage.
Advanced Quantum Technologies,
Journal Year:
2024,
Volume and Issue:
7(5)
Published: April 21, 2024
Abstract
The
vehicle
routing
problem
with
time
windows
(VRPTW)
is
a
common
optimization
faced
within
the
logistics
industry.
In
this
work,
use
of
previously‐introduced
qubit
encoding
scheme
explored
to
reduce
number
qubits,
evaluate
effectiveness
Noisy
Intermediate‐Scale
Quantum
(NISQ)
devices
when
applied
industry
relevant
problems.
A
quantum
variational
approach
testbed
multiple
VRPTW
instances
ranging
from
11
3964
routes.
These
intances
are
formulated
as
quadratic
unconstrained
binary
(QUBO)
problems
based
on
realistic
shipping
scenarios.
results
compared
standard
binary‐to‐qubit
mappings
after
executing
simulators
well
various
hardware
platforms,
including
IBMQ,
AWS
(Rigetti),
and
IonQ.
benchmarked
against
classical
solver,
Gurobi.
can
find
approximate
solutions
comparable
those
obtained
algorithms
using
full
encoding,
despite
reduction
in
qubits
required.
suggest
that
fit
larger
sizes
into
fewer
promising
step
NISQ
for
industry‐based
problems,
although
additional
resources
still
required
eke
out
performance
sizes.
Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: March 17, 2023
Abstract
Efficient
packing
of
items
into
bins
is
a
common
daily
task.
Known
as
Bin
Packing
Problem,
it
has
been
intensively
studied
in
the
field
artificial
intelligence,
thanks
to
wide
interest
from
industry
and
logistics.
Since
decades,
many
variants
have
proposed,
with
three-dimensional
Problem
closest
one
real-world
use
cases.
We
introduce
hybrid
quantum-classical
framework
for
solving
Problems
(Q4RealBPP),
considering
different
realistic
characteristics,
such
as:
i)
package
bin
dimensions,
ii)
overweight
restrictions,
iii)
affinities
among
item
categories
iv)
preferences
ordering.
Q4RealBPP
permits
oriented
instances
3dBPP,
contemplating
restrictions
well
appreciated
by
industrial
logistics
sectors.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: March 18, 2025
The
total
cost
of
assembly
is
a
critical
factor
in
robotic
line
balancing,
as
it
encompasses
all
the
costs
associated
with
line,
including
initial
costs,
setup,
maintenance,
and
energy
cost.
This
study
introduces
different
approach
to
balancing
problem,
dual
focus
on
minimizing
both
cycle
time
overall
costs.
effectiveness
proposed
validated
through
three
case
problems
taken
from
literature
results
are
compared
traditional
allocation
methods.
For
1,
89.4%
(42
out
47)
solutions
achieved
lower
cost,
34%
(16
utilized
fewer
workstations;
for
2,
96.4%
(108
112)
58.9%
(66
workstations
same
time.
These
demonstrate
significant
savings
notable
improvement
workstation
efficiency
substantial
portion
solutions.
comprehensive
allows
an
effective
resource
allocation,
reduces
inefficiencies,
enhances
cost-effectiveness
performance
line.
It
also
supports
decision-makers
selecting
more
sustainable
economically
viable
that
optimize
productivity
efficiency.
