Abstract:We present an alternative, memory-efficient, Schmidt
decomposition-based
description of the inherently bipartite restricted active space (RAS)
scheme, which can be implemented effortlessly within the density matrix
renormalization group (DMRG) method via the dynamically extended active
space procedure. Benchmark calculations are compared against state-of-the-art
results of C2 and Cr2, which are notorious for
their multireference character. Our results for ground and excited
states together with spectroscopic c… Show more
“…Next, using the predicted full-CI energy, E RAS-X = −2086.891, we show in Figure 7c that the linear scaling on double logarithmic axes for different values is recovered, as expected. Comparing our result to multireference configuration interaction (MRCI), coupled cluster singles, doubles, and perturbative triples (CCSD(T)), coupled cluster singles, doubles and triples (CCSDT), and coupled cluster singles, doubles, triples and quadruples (CCSDTQ) 27 (E = −2086.7401, −2086.8785, −2086.8675, −2086.8689, respectively), we conclude that our data point E 0 (17, 2) = −2086.8769 is already below the CCSDTQ by 8 × 10 −3 . The extrapolated energy is E RAS-X = 2086.891 (p RAS-X = 1.88) using all 14 data points in the figure.…”
Section: Results For Large Basis Sets and The Stability Of The Dmrg-r...mentioning
confidence: 88%
“…We remark here that the -dependence hinges on a good choice of the CAS space and on the chosen basis. 27,62 Since the orbitals lying close to the Fermi surface possess the largest one-orbital entropies, 25 a selection based on orbital entropy together with keeping the almost fully occupied orbitals in the CAS space is an efficient protocol. 25,46,63 Let us also note that a very accurate extrapolation procedure requires to perform CAS and DMRG-RAS calculations for various χ values for each in order to perform an extrapolation to the DMRG truncation-free limit, i.e, to obtain = E ( lim E ( )…”
Section: Numerical Resultsmentioning
confidence: 99%
“…Therefore, the main question to be answered is the error dependence on . We remark here that the -dependence hinges on a good choice of the CAS space and on the chosen basis. , Since the orbitals lying close to the Fermi surface possess the largest one-orbital entropies, a selection based on orbital entropy together with keeping the almost fully occupied orbitals in the CAS space is an efficient protocol. ,, …”
Section: Numerical
Resultsmentioning
confidence: 99%
“…Although the main features of the electronic states are often characterized by the static correlations, the contributions of an intractable number of high-energy excited configurations with small weights, i.e., dynamical effects, can be crucial for an accurate theoretical description in light of experimental data. 16,17 Quite recently, a cross-fertilization of the conventional restricted active space (RAS) scheme 18−22 with the density matrix renormalization group (DMRG) method 23,24 via the dynamically extended active space procedure 25,26 has emerged as a new powerful method 27 to capture both static and dynamic correlations, and numerical benchmarks on molecules with notorious multireference characters have revealed various advantages of the new method compared to conventional approaches. 21,28−31 Furthermore, mapping of quantum lattice models to an ab initio framework paves the road to attack challenging problems that are untractable by conventional approaches.…”
Section: Introductionmentioning
confidence: 99%
“…Quite recently, a cross-fertilization of the conventional restricted active space (RAS) scheme − with the density matrix renormalization group (DMRG) method , via the dynamically extended active space procedure , has emerged as a new powerful method to capture both static and dynamic correlations, and numerical benchmarks on molecules with notorious multireference characters have revealed various advantages of the new method compared to conventional approaches. ,− Furthermore, mapping of quantum lattice models to an ab initio framework paves the road to attack challenging problems that are untractable by conventional approaches. − The dramatic reduction of entanglement for higher-dimensional lattice models via Fermionic mode transformation , also makes the resulting ab intio problems excellent candidates for the DMRG-RAS method.…”
We
theoretically derive and validate with large scale simulations
a remarkably accurate power law scaling of errors for the restricted
active space density matrix renormalization group (DMRG-RAS) method
[J. Phys. Chem. A 126, 9709] in electronic structure calculations.
This yields a new extrapolation method, DMRG-RAS-X, which reaches
chemical accuracy for strongly correlated systems such as the chromium
dimer, dicarbon up to a large cc-pVQZ basis and even a large chemical
complex such as the FeMoco with significantly lower computational
demands than those of previous methods. The method is free of empirical
parameters, performed robustly and reliably in all examples we tested,
and has the potential to become a vital alternative method for electronic
structure calculations in quantum chemistry and more generally for
the computation of strong correlations in nuclear and condensed matter
physics.
“…Next, using the predicted full-CI energy, E RAS-X = −2086.891, we show in Figure 7c that the linear scaling on double logarithmic axes for different values is recovered, as expected. Comparing our result to multireference configuration interaction (MRCI), coupled cluster singles, doubles, and perturbative triples (CCSD(T)), coupled cluster singles, doubles and triples (CCSDT), and coupled cluster singles, doubles, triples and quadruples (CCSDTQ) 27 (E = −2086.7401, −2086.8785, −2086.8675, −2086.8689, respectively), we conclude that our data point E 0 (17, 2) = −2086.8769 is already below the CCSDTQ by 8 × 10 −3 . The extrapolated energy is E RAS-X = 2086.891 (p RAS-X = 1.88) using all 14 data points in the figure.…”
Section: Results For Large Basis Sets and The Stability Of The Dmrg-r...mentioning
confidence: 88%
“…We remark here that the -dependence hinges on a good choice of the CAS space and on the chosen basis. 27,62 Since the orbitals lying close to the Fermi surface possess the largest one-orbital entropies, 25 a selection based on orbital entropy together with keeping the almost fully occupied orbitals in the CAS space is an efficient protocol. 25,46,63 Let us also note that a very accurate extrapolation procedure requires to perform CAS and DMRG-RAS calculations for various χ values for each in order to perform an extrapolation to the DMRG truncation-free limit, i.e, to obtain = E ( lim E ( )…”
Section: Numerical Resultsmentioning
confidence: 99%
“…Therefore, the main question to be answered is the error dependence on . We remark here that the -dependence hinges on a good choice of the CAS space and on the chosen basis. , Since the orbitals lying close to the Fermi surface possess the largest one-orbital entropies, a selection based on orbital entropy together with keeping the almost fully occupied orbitals in the CAS space is an efficient protocol. ,, …”
Section: Numerical
Resultsmentioning
confidence: 99%
“…Although the main features of the electronic states are often characterized by the static correlations, the contributions of an intractable number of high-energy excited configurations with small weights, i.e., dynamical effects, can be crucial for an accurate theoretical description in light of experimental data. 16,17 Quite recently, a cross-fertilization of the conventional restricted active space (RAS) scheme 18−22 with the density matrix renormalization group (DMRG) method 23,24 via the dynamically extended active space procedure 25,26 has emerged as a new powerful method 27 to capture both static and dynamic correlations, and numerical benchmarks on molecules with notorious multireference characters have revealed various advantages of the new method compared to conventional approaches. 21,28−31 Furthermore, mapping of quantum lattice models to an ab initio framework paves the road to attack challenging problems that are untractable by conventional approaches.…”
Section: Introductionmentioning
confidence: 99%
“…Quite recently, a cross-fertilization of the conventional restricted active space (RAS) scheme − with the density matrix renormalization group (DMRG) method , via the dynamically extended active space procedure , has emerged as a new powerful method to capture both static and dynamic correlations, and numerical benchmarks on molecules with notorious multireference characters have revealed various advantages of the new method compared to conventional approaches. ,− Furthermore, mapping of quantum lattice models to an ab initio framework paves the road to attack challenging problems that are untractable by conventional approaches. − The dramatic reduction of entanglement for higher-dimensional lattice models via Fermionic mode transformation , also makes the resulting ab intio problems excellent candidates for the DMRG-RAS method.…”
We
theoretically derive and validate with large scale simulations
a remarkably accurate power law scaling of errors for the restricted
active space density matrix renormalization group (DMRG-RAS) method
[J. Phys. Chem. A 126, 9709] in electronic structure calculations.
This yields a new extrapolation method, DMRG-RAS-X, which reaches
chemical accuracy for strongly correlated systems such as the chromium
dimer, dicarbon up to a large cc-pVQZ basis and even a large chemical
complex such as the FeMoco with significantly lower computational
demands than those of previous methods. The method is free of empirical
parameters, performed robustly and reliably in all examples we tested,
and has the potential to become a vital alternative method for electronic
structure calculations in quantum chemistry and more generally for
the computation of strong correlations in nuclear and condensed matter
physics.
The implementation of multireference configuration interaction (MRCI) methods in quantum systems with large active spaces is hindered by the expansion of configuration bases or the intricate handling of reduced density matrices (RDMs). In this work, we present a spin-adapted renormalized-residue-based MRCI (RR-MRCI) approach that leverages renormalized residues to effectively capture the entanglement between active and inactive orbitals. This approach is reinforced by a novel efficient algorithm, which also facilitates an efficient deployment of spin-adapted matrix product state MRCI (MPS-MRCI). The RR-MRCI framework possesses several advantages: (1) It considers the orbital entanglement and utilizes highly compressed MPS structure, improving computational accuracy and efficiency compared with internally contracted (ic) MRCI. (2) Utilizing small-sized buffer environments of a few external orbitals as probes based on quantum information theory, it enhances computational efficiency over MPS-MRCI and offers potential application to large molecular systems. (3) The RR framework can be implemented in conjunction with ic-MRCI, eliminating the need for highrank RDMs, by using distinct renormalized residues. We evaluated this method across nine diverse molecular systems, including Cu 2 O 2 2+ with an active space of (24e,24o) and two complexes of lanthanide and actinide with active space (38e,36o), demonstrating the method's versatility and efficacy.
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