Transcorrelated methods applied to second row elements
The Journal of Chemical Physics,
Journal Year:
2025,
Volume and Issue:
162(6)
Published: Feb. 13, 2025
We
explore
the
applicability
of
transcorrelated
method
to
elements
in
second
row
periodic
table.
use
Hamiltonians
conjunction
with
full
configuration
interaction
quantum
Monte
Carlo
and
coupled
cluster
techniques
obtain
total
energies
ionization
potentials,
investigating
their
dependence
on
nature
size
basis
sets
used.
Transcorrelation
accelerates
convergence
complete
set
limit
relative
conventional
approaches,
chemically
accurate
results
can
generally
be
obtained
cc-pVTZ
basis,
even
a
frozen
Ne
core
post-Hartree–Fock
treatment.
Language: Английский
Shortcut to chemically accurate quantum computing via density-based basis-set correction
Diata Traoré,
No information about this author
Olivier Adjoua,
No information about this author
César Feniou
No information about this author
et al.
Communications Chemistry,
Journal Year:
2024,
Volume and Issue:
7(1)
Published: Nov. 18, 2024
Quantum
computing
promises
a
computational
advantage
over
classical
methods
in
electronic-structure
calculations,
with
expected
applications
drug
design
and
materials
science.
Accessing
quantitative
description
of
chemical
systems
while
minimizing
quantum
resources,
such
as
the
number
qubits,
is
an
essential
challenge
given
limited
capabilities
current
processors.
We
provide
shortcut
towards
computations
at
accuracy
by
approaching
complete-basis-set
limit
(CBS)
through
integrating
density-functional
theory
into
algorithms
via
density-based
basis-set
corrections
coupled
to
basis-sets
crafted
on-the-fly
specifically
adapted
system/user-defined
qubit
budget.
The
approach
self-consistently
accelerates
convergence,
improving
electronic
densities,
ground-state
energies,
first-order
properties
dipole
moments.
It
can
also
serve
classical,
posteriori,
energy
correction
hardware
calculations.
strategy
assessed
using
GPU-accelerated
state-vector
emulation
up
32
qubits.
converge
energies
four
(He,
Be,
H$_2$,
LiH)
within
CBS
full-configuration-interaction
reference,
offering
systematic
increase
beyond
double-zeta
quality
for
various
molecules
H$_8$
hydrogen
chain.
obtain
dissociation
curves
H$_2$
LiH
that
reach
whereas
challenging
simulation
N$_2$
triple-bond
breaking,
we
achieve
near-triple-zeta
cost
minimal
basis-set.
This
hybrid
allows
us
results
would
otherwise
require
brute-force
simulations
far
more
than
100
logical
thereby
opening
opportunities
explore
real-world
chemistry
reasonable
resources.
Language: Английский
Computational Chemistry Methods in Cancer Treatment: A Molecular Perspective
Published: Nov. 1, 2024
Despite
the
rapid
advancements
in
targeted
drug
therapy
cancer
treatment
over
past
two
decades,
resistance
remains
an
issue.
Point
mutations
can
often
explain
emergence
of
resistance,
while
other
cases,
it
is
not
clear
why
occurs.
Furthermore,
mechanisms
involving
physical
forces
that
contribute
to
binding
between
and
protein
are
poorly
understood.
The
thesis
aims
address
these
questions
by
using
computer
models,
primarily
quantum
mechanical
methods
attempt
shed
light
on
occurs
leukemia
treatment.
We
have
used
DFT
calculate
energies
for
drugs
chronic
myeloid
(CML)
acute
(AML),demonstrating
asciminib
enhances
effect
nilotinib
T315I-mutated
CML,
thus
allowing
with
ponatinib
be
avoided.
In
AML
treatment,
a
combination
DFT,
MD,
NCI,
EDA
been
show
mutation
R140Q/Q316E
trans
enzyme
IDH2
leads
enasidenib.
accuracy
various
exchange-correlation
functionals
was
evaluated
against
limited
dataset,
yielding
~
1.5
kcal/mol,
highlighting
potential
simple
models.
one
study,
we
were
able
when
dasatinib
binds
mutated
form
ABL1
arises
due
variety
factors,
just
breaking
hydrogen
bond.
has
employed
analyze
dominant
at
site,
extension
this
method
(DFTB-EDA)
developed
handle
larger
systems.
Using
FEP/REMD
imatinib
proteins
analyzed
study
off-target
binding,
aim
clarifying
drugs'
toxicity.
observed
tended
overestimate
energy,
under
estimate
it.
Overall,
demonstrates
EDA,
FEP
applicable
concrete
problems
studying
CML
AML,
despite
methods.This
methodology,
however,
forms
but
canbe
applied
more
broadly
conditions.
Language: Английский
Removing Basis Set Incompleteness Error in Finite-Temperature Electronic Structure Calculations: Two-Electron Systems
The Journal of Physical Chemistry A,
Journal Year:
2024,
Volume and Issue:
128(49), P. 10659 - 10672
Published: Nov. 25, 2024
We
investigate
the
basis-set-size
dependence
for
quantities
related
to
interacting
electrons
in
canonical
ensemble.
Calculations
are
performed
using
exact
diagonalization
(finite
temperature
full
configuration
interaction
method)
on
two-electron
model
systems─the
uniform
electron
gas
(UEG)
and
helium
atom.
Our
data
reproduce
previous
observations
of
a
competition
how
internal
energy
converges
between
ground-state
correlation
high-temperature
kinetic
energy.
explore
this
can
be
component
parts
including
kinetic,
exchange,
energies
show
there
is
surprising
nuance
broken
down
into
mostly
monotonically
converging
quantities.
also
that
separation
free
with/without
allows
monotonic
convergence
with
basis
set
size
due
variational
principle.
find
matches
previously
observed
properties
discuss
divergence
happens
when
finite
analytical
hydrogen
atom
complete
limit
compare
large
periodic
box.
Reducing
box
size,
we
saw
trends
were
similar
UEG.
Language: Английский
Evaluating Variational Quantum Eigensolver Approaches for Simplified Models of Molecular Systems: A Case Study on Protocatechuic Acid
Molecules,
Journal Year:
2024,
Volume and Issue:
30(1), P. 119 - 119
Published: Dec. 31, 2024
The
Variational
Quantum
Eigensolver
(VQE)
is
a
hybrid
algorithm
that
combines
quantum
and
classical
computing
to
determine
the
ground-state
energy
of
molecular
systems.
In
this
context,
study
applies
VQE
investigate
ground
state
protocatechuic
acid,
analyzing
its
performance
with
various
Ansatzes
active
spaces.
Subsequently,
all
results
were
compared
those
obtained
CISD
FCI
methods.
demonstrate
Ansatzes,
like
Unitary
Coupled
Cluster
Singles
Doubles
(UCCSD)
variations
Hardware-Efficient
generally
achieve
accuracy
close
FCI.
conclusion,
highlights
effectiveness
as
robust
method
for
investigating
energies.
Additionally,
findings
emphasize
pivotal
role
Ansatz
design
space
selection
in
optimizing
performance,
offering
meaningful
insights
into
capabilities
constraints.
Language: Английский
Variational quantum imaginary time evolution for matrix product state Ansatz with tests on transcorrelated Hamiltonians
Hao-En Li,
No information about this author
Xiang Li,
No information about this author
Jia-Cheng Huang
No information about this author
et al.
The Journal of Chemical Physics,
Journal Year:
2024,
Volume and Issue:
161(14)
Published: Oct. 8, 2024
The
matrix
product
state
(MPS)
Ansatz
offers
a
promising
approach
for
finding
the
ground
of
molecular
Hamiltonians
and
solving
quantum
chemistry
problems.
Building
on
this
concept,
proposed
technique
circuit
MPS
(QCMPS)
enables
simulation
chemical
systems
using
relatively
small
number
qubits.
In
study,
we
enhance
optimization
performance
QCMPS
by
employing
variational
imaginary
time
evolution
(VarQITE)
approach.
Guided
McLachlan's
principle,
VarQITE
method
provides
analytical
metrics
gradients,
resulting
in
improved
convergence
efficiency
robustness
QCMPS.
We
validate
these
improvements
numerically
through
simulations
H2,
H4,
LiH
molecules.
addition,
given
that
is
applicable
to
non-Hermitian
Hamiltonians,
evaluate
its
effectiveness
preparing
transcorrelated
Hamiltonians.
This
yields
energy
estimates
comparable
complete
basis
set
(CBS)
limit
while
even
fewer
particular,
perform
beryllium
atom
molecule
only
three
qubits,
maintaining
high
fidelity
with
CBS
systems.
qubit
reduction
achieved
combined
advantages
both
transcorrelation.
Our
findings
demonstrate
potential
practicality
algorithm
near-term
devices.
Language: Английский