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APL Computational Physics

Nuclear–electronic orbital method at scale: A two-stage hybrid-layout distributed Cholesky decomposition approach

Aodong Liu, Tianyuan Zhang, Eleftherios Lambros, Sharon Hammes‐Schiffer, Xiaosong Li

Published Jun 1, 2026• 1 citation
Publisher

Abstract

Cholesky decomposition (CD) is widely used to reduce the cost of storing two-particle integrals and has been extended to multicomponent nuclear–electronic orbital (NEO) methods. Although NEO-CD lowers memory demands, single-node implementations can still face memory bottlenecks due to the size of the mixed asymmetric nuclear–electronic tensors. In this study, we present a two-stage hybrid-layout distributed NEO-CD framework suitable for large NEO calculations at scale. Cholesky vectors are first generated and orthonormalized using an atomic orbital (AO)-index distribution. During Fock matrix construction, mixed nuclear–electronic vectors retain the AO-index layout, while pure electronic and pure nuclear vectors are redistributed over the auxiliary index. This design avoids costly inter-rank communication and provides efficient construction of both Coulomb and exchange matrices. Benchmark calculations on water clusters with all protons treated quantum mechanically show excellent scaling and load balance. Using only 104 MPI ranks, a full NEO-Fock build for (H2O)250 with 500 quantum protons, the largest NEO calculation to date, completes in 96.2 s per Fock matrix construction. The distributed NEO-CD framework enables NEO-DFT calculations for liquid-like water clusters up to (H2O)100. Extrapolation of the binding energies yields a bulk-limit value of ΔEn→∞ = −10.35 ± 0.19 kcal/mol, in excellent agreement with the experimental vaporization enthalpy of water. These results demonstrate that fully quantum mechanical simulations of large molecular systems are now practical on modern computing architectures.

DOI
10.1063/5.0318199

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•Jan 1, 2026•0 citations
Cholesky decomposition (CD) is widely used to reduce the cost of storing two-particle integrals and has been extended to multicomponent nuclear–electronic orbital (NEO) methods. Although NEO-CD lowers memory demands, single-node implementations can still face memory bottlenecks due to the size of the mixed asymmetric nuclear–electronic tensors. In this study, we present a two-stage hybrid-layout distributed NEO-CD framework suitable for large NEO calculations at scale. Cholesky vectors are first generated and orthonormalized using an atomic orbital (AO)-index distribution. During Fock matrix construction, mixed nuclear–electronic vectors retain the AO-index layout, while pure electronic and pure nuclear vectors are redistributed over the auxiliary index. This design avoids costly inter-rank communication and provides efficient construction of both Coulomb and exchange matrices. Benchmark calculations on water clusters with all protons treated quantum mechanically show excellent scaling and load balance. Using only 104 MPI ranks, a full NEO-Fock build for (H2O)250 with 500 quantum protons, the largest NEO calculation to date, completes in 96.2 s per Fock matrix construction. The distributed NEO-CD framework enables NEO-DFT calculations for liquid-like water clusters up to (H2O)100. Extrapolation of the binding energies yields a bulk-limit value of ΔEn→∞ = −10.35 ± 0.19 kcal/mol, in excellent agreement with the experimental vaporization enthalpy of water. These results demonstrate that fully quantum mechanical simulations of large molecular systems are now practical on modern computing architectures.
The Cholesky decomposition technique is commonly used to reduce the memory requirement for storing two-particle repulsion integrals in quantum chemistry calculations that use atomic orbital bases. However, when quantum methods use multicomponent bases, such as nuclear–electronic orbitals, additional challenges are introduced due to asymmetric two-particle integrals. This work proposes several multicomponent Cholesky decomposition methods for calculations using nuclear–electronic orbital density functional theory. To analyze the errors in different Cholesky decomposition components, benchmark calculations using water clusters are carried out. The largest benchmark calculation is a water cluster (H 2 O) 27 where all 54 protons are treated quantum mechanically. This study provides energetic and complexity analyses to demonstrate the accuracy and performance of the proposed multicomponent Cholesky decomposition method.
Full configuration interaction (FCI) remains an indispensable method for strongly correlated electronic structure calculations due to its high accuracy, but its steeply scaling computational cost limits applications with large basis sets. We propose an improved optimal orbital selection algorithm for full configuration interaction with Cholesky decomposition (OptOrbFCI-CD) that significantly enhances computational efficiency without sacrificing accuracy in large basis set calculations. The computational complexities of the algorithm are systematically analyzed before and after applying Cholesky decomposition, demonstrating significant time reduction for large systems. Numerical results for H4 molecules are presented, validating the algorithm’s effectiveness across varying basis set sizes. Our findings suggest that although the energy continues to decrease with increasing basis set size, the convergence rate progressively slows without reaching full saturation. The improved algorithm exhibits strong potential for scaling to larger systems while maintaining an optimal balance between computational cost and accuracy.
Nuclear quantum effects such as zero-point energy and hydrogen tunneling play a central role in many biological and chemical processes. The nuclear-electronic orbital (NEO) approach captures these effects by treating selected nuclei quantum mechanically on the same footing as electrons. On classical computers, the resources required for an exact solution of NEO-based models grow exponentially with system size. By contrast, quantum computers offer a means of solving this problem with polynomial scaling. However, due to the limitations of current quantum devices, NEO simulations are confined to the smallest systems described by minimal basis sets, whereas realistic simulations beyond the Born–Oppenheimer approximation require more sophisticated basis sets. For this purpose, we herein extend a hardware-efficient ADAPT-VQE method to the NEO framework in the frozen natural orbital (FNO) basis. We demonstrate on H 2 and D 2 molecules that the NEO-FNO-ADAPT-VQE method reduces the CNOT count by several orders of magnitude relative to the NEO unitary coupled cluster method with singles and doubles while maintaining the desired accuracy. This extreme reduction in the CNOT gate count is sufficient to permit practical computations employing the NEO method─an important step toward accurate simulations involving nonclassical nuclei and non-Born–Oppenheimer effects on near-term quantum devices. We further show that the method can capture isotope effects, and we demonstrate that inclusion of correlation energy systematically improves the prediction of difference in the zero-point energy (ΔZPE) between isotopes.
Nuclear quantum phenomena beyond the Born-Oppenheimer approximation are known to play an important role in a growing number of chemical and biological processes. While there exists no unique consensus on a rigorous and efficient implementation of coupled electron-nuclear quantum dynamics, it is recognized that these problems scale exponentially with system size on classical processors and, therefore, may benefit from quantum computing implementations. Here, we introduce a methodology for the efficient quantum treatment of the electron-nuclear problem on near-term quantum computers, based upon the Nuclear-Electronic Orbital (NEO) approach. We generalize the electronic two-qubit tapering scheme to include nuclei by exploiting symmetries inherent in the NEO framework, thereby reducing the Hamiltonian dimension, number of qubits, gates, and measurements needed for calculations. We also develop parameter transfer and initialization techniques, which improve convergence behavior relative to conventional initialization. These techniques are applied to H2 and malonaldehyde for which results agree with NEO full configuration interaction and NEO complete active space configuration interaction benchmarks for ground state energy to within 10-6 hartree and entanglement entropy to within 10-4. These implementations therefore significantly reduce resource requirements for full quantum simulations of molecules on near-term quantum devices while maintaining high accuracy.
We present in this contribution the first application of local correlation in the context of multicomponent methods. Multicomponent approaches allow for the targeted simulation of electrons together with other Fermions (most commonly protons) as quantum particles. These methods have become increasingly popular over the last years, particularly for the description of nuclear quantum effects (in strong hydrogen bonds, proton tunneling, and many more). However, most implementations are still based on canonical formulations of wave function theory, which we know for decades to be computationally inefficient for capturing dynamical correlation effects. Local correlation approaches, particularly with the use of pair natural orbitals (PNOs), enable asymptotically linear scaling of computational costs with very little impact on the overall accuracy. In this context, the efficient use of density fitting approximations in the integral calculation proves essential. We start by discussing our implementation of density-fitted NEO-MP2 and NEO-PNO-LMP2, upgrading the electronic correlation treatment up to PNO local coupled cluster level of theory. Several challenging examples are provided to benchmark the method in terms of accuracy as well as computational cost scaling. Following appropriate protocols, anharmonic corrections to localized X-H stretches can be applied routinely with little computational overhead.
This work targets the development and application of low-order scaling multicomponent methods for efficient simulation of nuclear quantum effects (NQE) within complex systems. The awareness of NQEs is increasingly growing across various fields, including chemistry, biology, and materials science, where light nuclei, like protons, play an essential role in molecular interactions and properties. This thesis presents a systematic development and application of multicomponent methods based on the Nuclear-Electronic Orbital (NEO) framework developed by Hammes-Schiffer and coworkers. In general, the focus is placed on the implementation and optimization of multicomponent Hartree-Fock, density functional and Møller-Plesset perturbation theory, as well as composite correlation approaches. Overall, by addressing computational bottlenecks and notably expanding the scope of multicomponent methods, this work contributes to the development of an extended standard quantum chemistry toolbox and paves the way for routine simulations of NQEs.