Hamiltonian simulation-based quantum-selected configuration interaction for large-scale electronic structure calculations with a quantum computer
- URL: http://arxiv.org/abs/2412.07218v1
- Date: Tue, 10 Dec 2024 06:16:26 GMT
- Title: Hamiltonian simulation-based quantum-selected configuration interaction for large-scale electronic structure calculations with a quantum computer
- Authors: Kenji Sugisaki, Shu Kanno, Toshinari Itoko, Rei Sakuma, Naoki Yamamoto,
- Abstract summary: We propose a Hamiltonian simulation-based QSCI (HSB-QSCI) for quantum chemical calculations.<n>We provide numerical simulations for the spin-singlet ground state and the first excited spin-triplet state of oligoacenes (benzene, naphthalene, and anthracene), phenylene-1,4-dinitrene, and hexa-1,2,3,4,5-pentaene molecules.<n>The differences between the HSB-QSCI energy and the CAS-CI value are at most 0.15 kcal mol$-1$, achieving chemical precision.
- Score: 0.33363717210853483
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Quantum-selected configuration interaction (QSCI) is one of the most promising approaches for quantum chemical calculations with the current pre-fault tolerant quantum computers. In the conventional QSCI, the Slater determinants used for the wave function expansion are sampled by iteratively performing approximate wave function preparation and subsequent measurement in the computational basis, and then the subspace Hamiltonian matrix is diagonalized on a classical computer. In this approach, the preparation of a high-quality approximate wave function is necessary to compute total energies accurately. In this work, we propose a Hamiltonian simulation-based QSCI (HSB-QSCI) to avoid this difficulty. In the HSB-QSCI, the Slater determinants are sampled from quantum states generated by the real-time evolution of approximate wave functions. We provide numerical simulations for the spin-singlet ground state and the first excited spin-triplet state of oligoacenes (benzene, naphthalene, and anthracene), phenylene-1,4-dinitrene, and hexa-1,2,3,4,5-pentaene molecules; these results reveal that the HSB-QSCI is applicable not only to molecules where the Hartree--Fock provides a good approximation of the ground state, but also to strongly correlated systems with multiconfigurational characteristics (i.e., the case where preparing a high-quality approximate wave function is hard). We have also numerically confirmed that the HSB-QSCI is robust to approximation errors of the Hamiltonian simulation, such as Trotter errors and the truncation errors of Hamiltonian term by maximum locality in the localized molecular orbital basis. Hardware demonstrations of the HSB-QSCI are also reported for the hexa-1,2,3,4,5-pentaene molecule using 20 qubits IBM superconducting device. The differences between the HSB-QSCI energy and the CAS-CI value are at most 0.15 kcal mol$^{-1}$, achieving chemical precision.
Related papers
- Auxiliary-field quantum Monte Carlo method with quantum selected configuration interaction [0.0]
We propose using the wave function generated by the quantum selected configuration interaction (QSCI) method as the trial wave function in phaseless auxiliary-field quantum Monte Carlo (ph-AFQMC)
We call this integrated approach QC-QSCI-AFQMC, or QSCI-AFQMC for short. This method is validated across several molecular systems.
arXiv Detail & Related papers (2025-02-28T14:12:37Z) - Quantum-selected configuration interaction with time-evolved state [0.0]
Quantum-selected configuration interaction (QSCI) utilizes an input quantum state on a quantum device to select important bases.
We propose using a time-evolved state by the target Hamiltonian as an input of QSCI.
We numerically investigate the accuracy of the energy obtained by the proposed method for quantum chemistry Hamiltonians.
arXiv Detail & Related papers (2024-12-18T13:33:16Z) - Non-unitary Coupled Cluster Enabled by Mid-circuit Measurements on Quantum Computers [37.69303106863453]
We propose a state preparation method based on coupled cluster (CC) theory, which is a pillar of quantum chemistry on classical computers.
Our approach leads to a reduction of the classical computation overhead, and the number of CNOT and T gates by 28% and 57% on average.
arXiv Detail & Related papers (2024-06-17T14:10:10Z) - Simulating electronic structure on bosonic quantum computers [35.884125235274865]
One of the most promising applications of quantum computing is the simulation of many-fermion problems.
We show how an electronic structure Hamiltonian can be transformed into a system of qumodes through qubit-assisted fermion-to-qumode mapping.
arXiv Detail & Related papers (2024-04-16T02:04:11Z) - Ab initio extended Hubbard model of short polyenes for efficient quantum computing [0.0]
We propose introducing an extended Hubbard Hamiltonian derived via the ab initio downfolding method.
The ab initio extended Hubbard Hamiltonian may hold significant potential for quantum chemical calculations using quantum computers.
arXiv Detail & Related papers (2024-04-02T04:13:09Z) - Accurate harmonic vibrational frequencies for diatomic molecules via
quantum computing [0.0]
We propose a promising qubit-efficient quantum computational approach to calculate the harmonic vibrational frequencies of a set of neutral closed-shell diatomic molecules.
We show that the variational quantum circuit with the chemistry-inspired UCCSD ansatz can achieve the same accuracy as the exact diagonalization method.
arXiv Detail & Related papers (2023-12-19T16:44:49Z) - ADAPT-QSCI: Adaptive Construction of an Input State for Quantum-Selected Configuration Interaction [0.0]
We present a quantum-classical hybrid algorithm for calculating the ground state and its energy of the quantum many-body Hamiltonian.
We numerically illustrate that our method, dubbed ADAPT-QSCI, can yield accurate ground-state energies for small molecules.
arXiv Detail & Related papers (2023-11-02T09:15:50Z) - QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules [69.25826391912368]
We generate a new Quantum Hamiltonian dataset, named as QH9, to provide precise Hamiltonian matrices for 999 or 2998 molecular dynamics trajectories.
We show that current machine learning models have the capacity to predict Hamiltonian matrices for arbitrary molecules.
arXiv Detail & Related papers (2023-06-15T23:39:07Z) - Accurate and Efficient Quantum Computations of Molecular Properties
Using Daubechies Wavelet Molecular Orbitals: A Benchmark Study against
Experimental Data [5.086494083782608]
We show that a minimal basis set constructed from Daubechies wavelet basis can yield accurate results through a better description of the molecular Hamiltonian.
Our work provides a more efficient and accurate representation of the molecular Hamiltonian for efficient QCs of molecular systems.
arXiv Detail & Related papers (2022-05-28T16:22:18Z) - Quantum circuits for the preparation of spin eigenfunctions on quantum
computers [63.52264764099532]
Hamiltonian symmetries are an important instrument to classify relevant many-particle wavefunctions.
This work presents quantum circuits for the exact and approximate preparation of total spin eigenfunctions on quantum computers.
arXiv Detail & Related papers (2022-02-19T00:21:46Z) - Recompilation-enhanced simulation of electron-phonon dynamics on IBM
Quantum computers [62.997667081978825]
We consider the absolute resource cost for gate-based quantum simulation of small electron-phonon systems.
We perform experiments on IBM quantum hardware for both weak and strong electron-phonon coupling.
Despite significant device noise, through the use of approximate circuit recompilation we obtain electron-phonon dynamics on current quantum computers comparable to exact diagonalisation.
arXiv Detail & Related papers (2022-02-16T19:00:00Z) - Chemistry beyond the Hartree-Fock limit via quantum computed moments [0.0]
We implement the quantum computed moments (QCM) approach for hydrogen chain molecular systems up to H$_6$.
Results provide strong evidence for the error suppression capability of the QCM method, particularly when coupled with post-processing error mitigation.
Greater emphasis on more efficient representations of the Hamiltonian and classical preprocessing steps may enable the solution of larger systems on near-term quantum processors.
arXiv Detail & Related papers (2021-11-15T23:04:23Z) - Estimating Phosphorescent Emission Energies in Ir(III) Complexes using
Large-Scale Quantum Computing Simulations [0.0]
We apply the iterative qubit coupled cluster (iQCC) method on classical hardware to the calculation of the transition energies in nine phosphorescent iridium complexes.
Our simulations would require a gate-based quantum computer with a minimum of 72 fully-connected and error-corrected logical qubits.
The iQCC quantum method is found to match the accuracy of the fine-tuned DFT functionals, has a better Pearson correlation coefficient, and still has considerable potential for systematic improvement.
arXiv Detail & Related papers (2021-11-07T20:02:10Z) - Computing molecular excited states on a D-Wave quantum annealer [52.5289706853773]
We demonstrate the use of a D-Wave quantum annealer for the calculation of excited electronic states of molecular systems.
These simulations play an important role in a number of areas, such as photovoltaics, semiconductor technology and nanoscience.
arXiv Detail & Related papers (2021-07-01T01:02:17Z) - Quantum-Classical Hybrid Algorithm for the Simulation of All-Electron
Correlation [58.720142291102135]
We present a novel hybrid-classical algorithm that computes a molecule's all-electron energy and properties on the classical computer.
We demonstrate the ability of the quantum-classical hybrid algorithms to achieve chemically relevant results and accuracy on currently available quantum computers.
arXiv Detail & Related papers (2021-06-22T18:00:00Z) - Gate-free state preparation for fast variational quantum eigensolver
simulations: ctrl-VQE [0.0]
VQE is currently the flagship algorithm for solving electronic structure problems on near-term quantum computers.
We propose an alternative algorithm where the quantum circuit used for state preparation is removed entirely and replaced by a quantum control routine.
As with VQE, the objective function optimized is the expectation value of the qubit-mapped molecular Hamiltonian.
arXiv Detail & Related papers (2020-08-10T17:53:09Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.