The Journal of Physical Chemistry Letters,
Journal Year:
2024,
Volume and Issue:
15(28), P. 7111 - 7117
Published: July 2, 2024
Quantum
chemistry
simulations
offer
a
cost-effective
way
to
computationally
design
BODIPY
photosensitizers.
However,
accurate
predictions
of
excitation
energies
pose
challenge
for
time-dependent
density
functional
theory
and
equation-of-motion
coupled-cluster
singles
doubles
methods.
By
contrast,
reliable
can
be
achieved
by
multireference
quantum
methods;
unfortunately,
their
computational
cost
increases
exponentially
with
the
number
electrons.
Alternatively,
computing
holds
potential
an
exact
simulation
photophysical
properties
in
more
efficient
way.
Herein,
we
introduce
state-specific
ΔUCCSD-VQE
(unitary
doubles-variational
eigensolver)
ΔADAPT-VQE
methods
which
electronically
excited
state
is
calculated
via
non-Aufbau
configuration.
We
show
six
derivatives
that
proposed
predict
are
good
agreement
those
from
experiments.
Due
its
performance
simplicity,
believe
ΔADAPT
will
become
useful
approach
photosensitizers
on
near-term
devices.
Electronic Structure,
Journal Year:
2024,
Volume and Issue:
6(1), P. 013001 - 013001
Published: March 1, 2024
Abstract
Quantum
subspace
methods
(QSMs)
are
a
class
of
quantum
computing
algorithms
where
the
time-independent
Schrödinger
equation
for
system
is
projected
onto
underlying
Hilbert
space.
This
projection
transforms
into
an
eigenvalue
problem
determined
by
measurements
carried
out
on
device.
The
then
solved
classical
computer,
yielding
approximations
to
ground-
and
excited-state
energies
wavefunctions.
QSMs
examples
hybrid
quantum–classical
methods,
device
supported
computational
resources
employed
tackle
problem.
rapidly
gaining
traction
as
strategy
simulate
electronic
wavefunctions
computers,
thus
their
design,
development,
application
key
research
field
at
interface
between
computation
structure
(ES).
In
this
review,
we
provide
self-contained
introduction
QSMs,
with
emphasis
ES
molecules.
We
present
theoretical
foundations
applications
discuss
implementation
hardware,
illustrating
impact
noise
performance.
Journal of Chemical Theory and Computation,
Journal Year:
2024,
Volume and Issue:
20(9), P. 3613 - 3625
Published: May 3, 2024
Determining
the
properties
of
molecules
and
materials
is
one
premier
applications
quantum
computing.
A
major
question
in
field
how
to
use
imperfect
near-term
computers
solve
problems
practical
value.
Inspired
by
recently
developed
variants
counterpart
equation-of-motion
(qEOM)
approach
orbital-optimized
variational
eigensolver
(oo-VQE),
we
present
a
algorithm
(oo-VQE-qEOM)
for
calculation
molecular
computing
expectation
values
on
computer.
We
perform
noise-free
simulations
BeH2
series
STO-3G/6-31G/6-31G*
basis
sets
H4
H2O
6-31G
using
an
active
space
four
electrons
spatial
orbitals
(8
qubits)
evaluate
excitation
energies,
electronic
absorption,
and,
twisted
H4,
circular
dichroism
spectra.
demonstrate
that
proposed
can
reproduce
results
conventional
classical
CASSCF
calculations
these
systems.
Physical Review Research,
Journal Year:
2024,
Volume and Issue:
6(2)
Published: June 20, 2024
The
ability
of
quantum
computers
to
overcome
the
exponential
memory
scaling
many-body
problems
is
expected
transform
chemistry.
Quantum
algorithms
require
accurate
representations
electronic
states
on
a
device,
but
current
approximations
struggle
combine
chemical
accuracy
and
gate
efficiency
while
preserving
physical
symmetries,
rely
measurement-intensive
adaptive
methods
that
tailor
wave
function
each
molecule.
In
this
contribution,
we
present
symmetry-preserving
gate-efficient
provides
chemically
molecular
energies
with
well-defined
circuit
structure.
Our
approach
exploits
local
qubit
connectivity,
orbital
optimization,
connections
generalized
valence
bond
theory
maximize
obtained
shallow
circuits.
Numerical
simulations
for
molecules
weak
strong
electron
correlation,
including
benzene,
water,
singlet-triplet
gap
in
tetramethyleneethane,
demonstrate
are
achieved
as
much
84%
fewer
two-qubit
gates
compared
state-of-the-art
techniques.
Published
by
American
Physical
Society
2024
Journal of Chemical Theory and Computation,
Journal Year:
2024,
Volume and Issue:
20(9), P. 3551 - 3565
Published: April 25, 2024
Linear
response
(LR)
theory
is
a
powerful
tool
in
classic
quantum
chemistry
crucial
to
understanding
photoinduced
processes
and
biology.
However,
performing
simulations
for
large
systems
the
case
of
strong
electron
correlation
remains
challenging.
Quantum
computers
are
poised
facilitate
simulation
such
systems,
recently,
linear
formulation
(qLR)
was
introduced
[Kumar
et
al.,
J.
Chem.
Theory
Comput.
2023,
19,
9136–9150].
To
apply
qLR
near-term
beyond
minimal
basis
set,
we
here
introduce
resource-efficient
theory,
using
truncated
active-space
version
multiconfigurational
self-consistent
field
LR
ansatz.
Therein,
investigate
eight
different
formalisms
that
utilize
novel
operator
transformations
allow
equations
be
performed
on
hardware.
Simulating
excited
state
potential
energy
curves
absorption
spectra
various
test
cases,
identify
two
promising
candidates,
dubbed
"proj
LRSD"
"all-proj
LRSD".
Chemical Science,
Journal Year:
2025,
Volume and Issue:
16(10), P. 4456 - 4468
Published: Jan. 1, 2025
The
promise
of
quantum
computing
to
circumvent
the
exponential
scaling
chemistry
has
sparked
a
race
develop
algorithms
for
architecture.
However,
most
works
neglect
quantum-inherent
shot
noise,
let
alone
effect
current
noisy
devices.
Here,
we
present
comprehensive
study
linear
response
(qLR)
theory
obtaining
spectroscopic
properties
on
simulated
fault-tolerant
computers
and
present-day
near-term
hardware.
This
work
introduces
novel
metrics
analyze
predict
origins
noise
in
algorithm,
proposes
an
Ansatz-based
error
mitigation
technique,
reveals
significant
impact
Pauli
saving
reducing
measurement
costs
subspace
methods.
Our
hardware
results
using
up
cc-pVTZ
basis
set
serve
as
proof
principle
absorption
spectra
general
approach
with
accuracy
classical
multi-configurational
Importantly,
our
exemplify
that
substantial
improvements
rates
speed
are
necessary
lift
computational
from
concept
actual
field.
Journal of Chemical Theory and Computation,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 28, 2025
Hybrid
quantum-classical
computing
algorithms
offer
significant
potential
for
accelerating
the
calculation
of
electronic
structure
strongly
correlated
molecules.
In
this
work,
we
present
first
quantum
simulation
conical
intersections
(CIs)
in
a
biomolecule,
cytosine,
using
superconducting
computer.
We
apply
contracted
eigensolver
(CQE)─with
comparisons
to
conventional
variational
deflation
(VQD)─to
compute
near-degenerate
ground
and
excited
states
associated
with
intersection,
key
feature
governing
photostability
DNA
RNA.
The
CQE
is
based
on
an
exact
ansatz
many-electron
molecules
absence
noise─a
critically
important
property
resolving
at
CIs.
Both
methods
demonstrate
promising
accuracy
when
compared
diagonalization,
even
noisy
intermediate-scale
computers,
highlighting
their
advancing
understanding
photochemical
photobiological
processes.
ability
simulate
these
critical
our
knowledge
biological
processes
like
repair
mutation,
implications
molecular
biology
medical
research.
Journal of Chemical Theory and Computation,
Journal Year:
2023,
Volume and Issue:
19(24), P. 9136 - 9150
Published: Dec. 6, 2023
Accurate
modeling
of
the
response
molecular
systems
to
an
external
electromagnetic
field
is
challenging
on
classical
computers,
especially
in
regime
strong
electronic
correlation.
In
this
article,
we
develop
a
quantum
linear
(qLR)
theory
calculate
properties
near-term
computers.
Inspired
by
recently
developed
variants
counterpart
equation
motion
(qEOM)
theory,
qLR
formalism
employs
"killer
condition"
satisfying
excitation
operator
manifolds
that
offer
number
theoretical
advantages
along
with
reduced
resource
requirements.
We
also
used
qEOM
framework
work
state-specific
properties.
Further,
through
noiseless
simulations,
show
calculated
using
approach
are
more
accurate
than
ones
obtained
from
coupled-cluster-based
models
due
improved
quality
ground-state
wave
function
ADAPT-VQE
algorithm.
Journal of Chemical Theory and Computation,
Journal Year:
2024,
Volume and Issue:
20(6), P. 2491 - 2504
Published: March 16, 2024
The
recent
developments
of
quantum
computing
present
novel
potential
pathways
for
chemistry
as
the
scaling
computational
power
computers
could
be
harnessed
to
naturally
encode
and
solve
electronic
structure
problems.
Theoretically
exact
algorithms
have
been
proposed
(e.g.,
phase
estimation),
but
limited
capabilities
current
noisy
intermediate-scale
devices
motivated
development
less
demanding
hybrid
algorithms.
In
this
context,
variational
eigensolver
(VQE)
algorithm
was
successfully
introduced
an
effective
method
compute
ground-state
energies
small
molecules.
This
study
investigates
folded
spectrum
(FS)
extension
VQE
computation
molecular
excited
states.
It
provides
possibility
directly
states
around
a
selected
target
energy
using
same
or
circuit
calculation.
Inspired
by
variance-based
methods
from
Monte
Carlo
literature,
FS
minimizes
variance,
thus,
in
principle,
requiring
computationally
expensive
squared
Hamiltonian
applied.
We
alleviate
potentially
poor
employing
Pauli
grouping
procedure
identify
sets
commuting
strings
that
can
evaluated
simultaneously.
allows
significant
reduction
cost.
applied
FS-VQE
molecules
(H2,
LiH),
obtaining
all
with
chemical
accuracy
on
ideal
simulators.
Furthermore,
we
explore
application
error
mitigation
techniques,
demonstrating
improved
simulators
compared
simulations
without
mitigation.
The Journal of Physical Chemistry A,
Journal Year:
2023,
Volume and Issue:
127(31), P. 6552 - 6566
Published: July 28, 2023
Near-term
quantum
devices
promise
to
revolutionize
chemistry,
but
simulations
using
the
current
noisy
intermediate-scale
(NISQ)
are
not
practical
due
their
high
susceptibility
errors.
This
motivated
design
of
NISQ
algorithms
leveraging
classical
and
resources.
While
several
developments
have
shown
promising
results
for
ground-state
simulations,
extending
excited
states
remains
challenging.
paper
presents
two
cost-efficient
excited-state
inspired
by
Davidson
algorithm.
We
implemented
method
into
self-consistent
equation-of-motion
unitary
coupled-cluster
(q-sc-EOM-UCC)
adapted
hardware.
The
circuit
strategies
generating
desired
discussed,
implemented,
tested.
demonstrate
performance
accuracy
proposed
(q-sc-EOM-UCC/Davidson
its
variational
variant)
H2,
H4,
LiH,
H2O
molecules.
Similar
scheme,
q-sc-EOM-UCC/Davidson
capable
targeting
a
small
number
character.
The Journal of Physical Chemistry Letters,
Journal Year:
2023,
Volume and Issue:
14(35), P. 7876 - 7882
Published: Aug. 28, 2023
Quantum
computers
have
emerged
as
a
promising
platform
to
simulate
strong
electron
correlation
that
is
crucial
catalysis
and
photochemistry.
However,
owing
the
choice
of
trial
wave
function
employed
in
variational
quantum
eigensolver
(VQE)
algorithm,
accurate
simulation
restricted
certain
classes
correlated
phenomena.
Herein,
we
combine
spin-flip
(SF)
formalism
with
unitary
coupled
cluster
singles
doubles
(UCCSD)
method
via
equation-of-motion
(qEOM)
approach
allow
for
an
efficient
large
family
strongly
problems.
We
show
developed
qEOM-SF-UCCSD/VQE
outperforms
its
UCCSD/VQE
counterpart
cis-trans
isomerization
ethylene,
automerization
cyclobutadiene
predicted
barrier
heights
are
good
agreement
experimentally
determined
values.
The
developments
presented
herein
will
further
stimulate
investigation
this
simulations
other
types
correlated/entangled
phenomena
on
computers.