Physical Review X,
Journal Year:
2021,
Volume and Issue:
11(1)
Published: Feb. 1, 2021
Product
formulas
offer
a
powerful,
simple
approach
to
quantum
simulation.
A
new
theory
quantifying
their
errors
puts
these
algorithms
on
rigorous
foundation,
showcasing
superiority
over
other
methods.
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
Reviews of Modern Physics,
Journal Year:
2022,
Volume and Issue:
94(1)
Published: Feb. 15, 2022
Noisy
quantum
computers
can
in
principle
perform
reliable
computations,
but
truly
scalable
systems
require
noise
levels
lower
than
are
presently
achieved.
Still,
moderate-complexity
computations
be
performed.
This
review
discusses
what
is
possible
this
``noisy
intermediate
scale''
(NISQ)
era.
Topic
areas
include
the
simulation
of
many-body
physics
and
chemistry,
combinatorial
optimization,
machine
learning.
It
evident
that
NISQ
era
has
produced
new
paradigms
for
programming
will
built
upon
as
further
perfected.
Physical Review Letters,
Journal Year:
2021,
Volume and Issue:
127(18)
Published: Oct. 25, 2021
Scaling
up
to
a
large
number
of
qubits
with
high-precision
control
is
essential
in
the
demonstrations
quantum
computational
advantage
exponentially
outpace
classical
hardware
and
algorithmic
improvements.
Here,
we
develop
two-dimensional
programmable
superconducting
processor,
Zuchongzhi,
which
composed
66
functional
tunable
coupling
architecture.
To
characterize
performance
whole
system,
perform
random
circuits
sampling
for
benchmarking,
system
size
56
20
cycles.
The
cost
simulation
this
task
estimated
be
2-3
orders
magnitude
higher
than
previous
work
on
53-qubit
Sycamore
processor
[Nature
574,
505
(2019)NATUAS0028-083610.1038/s41586-019-1666-5.
We
estimate
that
finished
by
Zuchongzhi
about
1.2
h
will
take
most
powerful
supercomputer
at
least
8
yr.
Our
establishes
an
unambiguous
infeasible
computation
reasonable
amount
time.
computing
platform
opens
new
door
explore
novel
many-body
phenomena
implement
complex
algorithms.
Nature Communications,
Journal Year:
2019,
Volume and Issue:
10(1)
Published: July 8, 2019
Quantum
simulation
of
chemical
systems
is
one
the
most
promising
near-term
applications
quantum
computers.
The
variational
eigensolver,
a
leading
algorithm
for
molecular
simulations
on
hardware,
has
serious
limitation
in
that
it
typically
relies
pre-selected
wavefunction
ansatz
results
approximate
wavefunctions
and
energies.
Here
we
present
an
arbitrarily
accurate
instead
fixing
upfront,
this
grows
systematically
operator
at
time
way
dictated
by
molecule
being
simulated.
This
generates
with
small
number
parameters,
to
shallow-depth
circuits.
We
numerical
simulations,
including
prototypical
strongly
correlated
molecule,
which
show
our
performs
much
better
than
unitary
coupled
cluster
approach,
terms
both
circuit
depth
accuracy.
Our
highlight
potential
adaptive
exact
present-day
hardware.
Physics Reports,
Journal Year:
2022,
Volume and Issue:
986, P. 1 - 128
Published: Sept. 23, 2022
The
variational
quantum
eigensolver
(or
VQE),
first
developed
by
Peruzzo
et
al.
(2014),
has
received
significant
attention
from
the
research
community
in
recent
years.
It
uses
principle
to
compute
ground
state
energy
of
a
Hamiltonian,
problem
that
is
central
chemistry
and
condensed
matter
physics.
Conventional
computing
methods
are
constrained
their
accuracy
due
computational
limits
facing
exact
modeling
exponentially
growing
electronic
wavefunction
for
these
many-electron
systems.
VQE
may
be
used
model
complex
wavefunctions
polynomial
time,
making
it
one
most
promising
near-term
applications
computing.
One
important
advantage
algorithms
have
been
shown
present
some
degree
resilience
noise
hardware.
Finding
path
navigate
relevant
literature
rapidly
become
an
overwhelming
task,
with
many
improve
different
parts
algorithm,
but
without
clear
descriptions
how
diverse
fit
together.
potential
practical
advantages
algorithm
also
widely
discussed
literature,
varying
conclusions.
Despite
strong
theoretical
underpinnings
suggesting
excellent
scaling
individual
components,
studies
pointed
out
various
pre-factors
could
too
large
reach
over
conventional
methods.
This
review
aims
at
disentangling
provide
comprehensive
overview
progress
made
on
discuss
future
areas
fundamental
deliver
its
promises.
All
components
reviewed
detail.
These
include
representation
Hamiltonians
computer,
optimization
process
find
energies,
post
processing
mitigation
errors,
suggested
best
practices.
We
identify
four
main
research:
(1)
optimal
measurement
schemes
reduction
circuit
repetitions
required;
(2)
scale
parallelization
across
computers;
(3)
ways
overcome
appearance
vanishing
gradients
systems,
number
iterations
required
scales
system
size;
(4)
extent
which
suffers
noise,
whether
this
can
mitigated
tractable
manner.
answers
open
questions
will
determine
routes
achieve
as
hardware
up
levels
reduced.
Nature Communications,
Journal Year:
2021,
Volume and Issue:
12(1)
Published: Nov. 29, 2021
Variational
Quantum
Algorithms
(VQAs)
may
be
a
path
to
quantum
advantage
on
Noisy
Intermediate-Scale
(NISQ)
computers.
A
natural
question
is
whether
noise
NISQ
devices
places
fundamental
limitations
VQA
performance.
We
rigorously
prove
serious
limitation
for
noisy
VQAs,
in
that
the
causes
training
landscape
have
barren
plateau
(i.e.,
vanishing
gradient).
Specifically,
local
Pauli
considered,
we
gradient
vanishes
exponentially
number
of
qubits
$n$
if
depth
ansatz
grows
linearly
with
$n$.
These
noise-induced
plateaus
(NIBPs)
are
conceptually
different
from
noise-free
plateaus,
which
linked
random
parameter
initialization.
Our
result
formulated
generic
includes
as
special
cases
Alternating
Operator
Ansatz
and
Unitary
Coupled
Cluster
Ansatz,
among
others.
For
former,
our
numerical
heuristics
demonstrate
NIBP
phenomenon
realistic
hardware
model.
Chemical Reviews,
Journal Year:
2021,
Volume and Issue:
122(3), P. 3820 - 3878
Published: Dec. 23, 2021
With
the
development
of
advanced
electronic
devices
and
electric
power
systems,
polymer-based
dielectric
film
capacitors
with
high
energy
storage
capability
have
become
particularly
important.
Compared
polymer
nanocomposites
widespread
attention,
all-organic
polymers
are
fundamental
been
proven
to
be
more
effective
choices
in
process
scalable,
continuous,
large-scale
industrial
production,
leading
many
applications.
In
past
decade,
efforts
intensified
this
field
great
progress
newly
discovered
polymers,
production
technologies,
extension
toward
emerging
computational
strategies.
This
review
summarizes
recent
based
on
conventional
as
well
heat-resistant
materials
focus
strategies
enhance
properties
performances.
The
key
parameters
such
constant,
loss,
breakdown
strength,
density,
charge-discharge
efficiency,
thoroughly
studied.
addition,
applications
computer-aided
calculation
including
density
functional
theory,
machine
learning,
genome
rational
design
performance
prediction
dielectrics
reviewed
detail.
Based
a
comprehensive
understanding
developments,
guidelines
prospects
for
future
proposed.
Journal of the Physical Society of Japan,
Journal Year:
2021,
Volume and Issue:
90(3), P. 032001 - 032001
Published: Feb. 1, 2021
Quantum
computers
can
exploit
a
Hilbert
space
whose
dimension
increases
exponentially
with
the
number
of
qubits.
In
experiment,
quantum
supremacy
has
recently
been
achieved
by
Google
team
using
noisy
intermediate-scale
(NISQ)
device
over
50
However,
question
what
be
implemented
on
NISQ
devices
is
still
not
fully
explored,
and
discovering
useful
tasks
for
such
topic
considerable
interest.
Hybrid
quantum-classical
algorithms
are
regarded
as
well-suited
execution
combining
classical
computers,
expected
to
first
applications
computing.
Meanwhile,
mitigation
errors
processors
also
crucial
obtain
reliable
results.
this
article,
we
review
basic
results
hybrid
error
techniques.
Since
computing
an
actively
developing
field,
expect
basis
future
studies.
Quantum,
Journal Year:
2019,
Volume and Issue:
3, P. 191 - 191
Published: Oct. 7, 2019
The
variational
method
is
a
versatile
tool
for
classical
simulation
of
variety
quantum
systems.
Great
efforts
have
recently
been
devoted
to
its
extension
computing
efficiently
solving
static
many-body
problems
and
simulating
real
imaginary
time
dynamics.
In
this
work,
we
first
review
the
conventional
principles,
including
Rayleigh-Ritz
problems,
Dirac
Frenkel
principle,
McLachlan's
time-dependent
We
focus
on
dynamics
discuss
connections
three
principles.
Previous
works
mainly
unitary
evolution
pure
states.
introduce
mixed
states
under
general
stochastic
evolution.
show
how
results
can
be
reduced
state
case
with
correction
term
that
takes
accounts
global
phase
alignment.
For
evolution,
also
extend
it
scenario
Gibbs
preparation.
further
elaborate
design
ansatz
compatible
post-selection
measurement
implementation
generalised
algorithms
circuits.
Our
work
completes
theory
applicable
near-term
hardware.