Materials for Quantum Technology,
Journal Year:
2021,
Volume and Issue:
1(3), P. 035002 - 035002
Published: July 21, 2021
Abstract
Photonic
processors
are
pivotal
for
both
quantum
and
classical
information
processing
tasks
using
light.
In
particular,
linear
optical
requires
large-scale
low-loss
programmable
photonic
processors.
this
paper,
we
report
the
demonstration
of
largest
universal
processor
to
date:
a
12-mode
fully
tunable
interferometer
with
all-to-all
mode
coupling
based
on
stoichiometric
silicon
nitride
waveguides.
Reviews of Modern Physics,
Journal Year:
2020,
Volume and Issue:
92(1)
Published: March 30, 2020
With
small
quantum
computers
becoming
a
reality,
first
applications
are
eagerly
sought.
Quantum
chemistry
presents
spectrum
of
computational
problems,
from
relatively
easy
to
classically
intractable.
Algorithms
for
the
easiest
these
have
been
run
on
computers.
But
an
urgent
question
is,
how
well
will
algorithms
scale
go
beyond
what
is
possible
classically?
This
review
strategies
employed
construct
chemistry,
with
goal
that
eventually
answer
presently
inaccessible
questions,
example,
in
transition
metal
catalysis
or
important
biochemical
reactions.
Chemical Reviews,
Journal Year:
2019,
Volume and Issue:
119(19), P. 10856 - 10915
Published: Aug. 30, 2019
Practical
challenges
in
simulating
quantum
systems
on
classical
computers
have
been
widely
recognized
the
physics
and
chemistry
communities
over
past
century.
Although
many
approximation
methods
introduced,
complexity
of
mechanics
remains
hard
to
appease.
The
advent
computation
brings
new
pathways
navigate
this
challenging
complex
landscape.
By
manipulating
states
matter
taking
advantage
their
unique
features
such
as
superposition
entanglement,
promise
efficiently
deliver
accurate
results
for
important
problems
chemistry,
electronic
structure
molecules.
In
two
decades,
significant
advances
made
developing
algorithms
physical
hardware
computing,
heralding
a
revolution
simulation
systems.
This
Review
provides
an
overview
that
are
relevant
chemistry.
intended
audience
is
both
chemists
who
seek
learn
more
about
computing
researchers
would
like
explore
applications
Optica,
Journal Year:
2018,
Volume and Issue:
5(12), P. 1623 - 1623
Published: Dec. 18, 2018
Advances
in
photonic
integrated
circuits
have
recently
enabled
electrically
reconfigurable
optical
systems
that
can
implement
universal
linear
optics
transformations
on
spatial
mode
sets.This
review
paper
covers
progress
such
"programmable
nanophotonic
processors"
as
well
emerging
applications
of
the
technology
to
problems
including
classical
and
quantum
information
processing
machine
learning.
Optica,
Journal Year:
2020,
Volume and Issue:
7(4), P. 291 - 291
Published: March 3, 2020
The
goal
of
integrated
quantum
photonics
is
to
combine
components
for
the
generation,
manipulation,
and
detection
non-classical
light
in
a
phase
stable
efficient
platform.
Solid-state
emitters
have
recently
reached
outstanding
performance
as
single
photon
sources.
In
parallel,
photonic
circuits
been
advanced
point
that
thousands
can
be
controlled
on
chip
with
high
efficiency
stability.
Consequently,
researchers
are
now
beginning
these
leading
circuit
platforms
realize
best
properties
each
technology.
this
article,
we
review
recent
advances
based
such
hybrid
systems.
Although
integration
solves
many
limitations
individual
platforms,
it
also
introduces
new
challenges
arise
from
interfacing
different
materials.
We
various
issues
solid-state
circuits,
techniques
bridge
two
systems,
methods
chip-based
manipulation
photons
emitters.
Finally,
discuss
remaining
future
prospects
on-chip
npj Quantum Information,
Journal Year:
2019,
Volume and Issue:
5(1)
Published: July 17, 2019
Abstract
Physically
motivated
quantum
algorithms
for
specific
near-term
hardware
will
likely
be
the
next
frontier
in
information
science.
Here,
we
show
how
many
of
features
neural
networks
machine
learning
can
naturally
mapped
into
optical
domain
by
introducing
network
(QONN).
Through
numerical
simulation
and
analysis
train
QONN
to
perform
a
range
processing
tasks,
including
newly
developed
protocols
state
compression,
reinforcement
learning,
black-box
simulation,
one-way
repeaters.
We
consistently
demonstrate
that
our
system
generalize
from
only
small
set
training
data
onto
inputs
which
it
has
not
been
trained.
Our
results
indicate
QONNs
are
powerful
design
tool
systems
and,
leveraging
advances
integrated
photonics,
promising
architecture
next-generation
processors.
Journal of Optics,
Journal Year:
2019,
Volume and Issue:
21(6), P. 063001 - 063001
Published: May 17, 2019
Abstract
The
ability
to
process
optical
signals
without
passing
into
the
electrical
domain
has
always
attracted
attention
of
research
community.
Processing
photons
by
unfolds
new
scenarios,
in
principle
allowing
for
unseen
signal
processing
and
computing
capabilities.
Optical
computation
can
be
seen
as
a
large
scientific
field
which
researchers
operate,
trying
find
solutions
their
specific
needs
different
approaches;
although
challenges
substantially
different,
they
are
typically
addressed
using
knowledge
technological
platforms
that
shared
across
whole
field.
This
significant
know-how
also
benefit
other
communities,
providing
lateral
problems,
well
leading
novel
applications.
aim
this
Roadmap
is
provide
broad
view
state-of-the-art
lively
discuss
advances
required
tackle
emerging
challenges,
thanks
contributions
authored
experts
affiliated
both
academic
institutions
high-tech
industries.
organized
so
put
side
on
aspects
processing,
aiming
enhance
cross-contamination
ideas
between
scientists
working
three
fields
photonics:
gates
logical
units,
high
bit-rate
quantum
computing.
ultimate
intent
paper
guidance
young
research-funding
stake
holders
with
comprehensive
overview
perspectives
opportunities
offered
