Size-consistency and orbital-invariance issues revealed by VQE-UCCSD calculations with the FMO scheme (2402.17993v2)
Abstract: The fragment molecular orbital (FMO) scheme is one of the popular fragmentation-based methods and has the potential advantage of making the circuit flat in quantum chemical calculations on quantum computers. In this study, we used a GPU-accelerated quantum simulator (cuQuantum) to perform the electron correlation part of the FMO calculation as unitary coupled-cluster singles and doubles (UCCSD) with the variational quantum eigensolver (VQE) for hydrogen-bonded (FH)$_3$ and (FH)$_2$-H$_2$O systems with the STO-3G basis set. VQE-UCCD calculations were performed using both canonical and localized MO sets, and the results were examined from the point of view of size-consistency and orbital-invariance affected by the Trotter error. It was found that the use of localized MO leads to better results, especially for (FH)$_2$-H$_2$O. The GPU acceleration was substantial for the simulations with larger numbers of qubits, and was about a factor of 6.7--7.7 for 18 qubit systems.
- Simulated quantum computation of molecular energies. Science, 309:1704–1707, 2005.
- Quantum chemistry in the age of quantum computing. Chem. Rev., 119:10856–10915, 2019.
- Quantum computational chemistry. Rev. Mod. Phys., 92:015003, 2020.
- Quantum algorithms for quantum chemistry and quantum materials science. Chem. Rev., 120:12685–12717, 2020.
- M. Motta and J. E. Rice. Emerging quantum computing algorithms for quantum chemistry. WIREs Comput. Mol. Sci., 12:e1580, 2022.
- Evaluating the evidence for exponential quantum advantage in ground-state quantum chemistry. Nat. Comm., 14:1952, 2023.
- Elucidating reaction mechanisms on quantum computers. PNAS, 114:7555–7560, 2017.
- New perspectives on unitary coupled-cluster theory. Int. J. Quantum Chem., 106:3393–3401, 2006.
- A quantum computing view on unitary coupled cluster theory. Chem. Soc. Rev., 51:1659–1684, 2022.
- From transistor to trapped-ion computers for quantum chemistry. Sci. Rep., 4:3589, 2014.
- A variational eigenvalue solver on a photonic quantum processor. Nat. Comm., 5:4213, 2014.
- Strategies for quantum computing molecular energies using the unitary coupled cluster ansatz. Quantum Sci. Technol., 4:014008, 2018.
- Experimental quantum computational chemistry with optimised unitary coupled cluster ansatz. arXiv:2212.08006v2, 2022.
- Generalized unitary coupled cluster wave functions for quantum computation. J. Chem. Theory Comput., 15:311–324, 2019.
- A multireference quantum Krylov algorithm for strongly correlated electrons. J. Chem. Theory Comput., 16:2236–2245, 2020.
- G. Greene-Diniz and D. M. Ramo. Generalized unitary coupled cluster excitations for multireference molecular states optimized by the variational quantum eigensolver. Int. J. Quantum Chem., 121:e26352, 2021.
- Variational quantum eigensolver simulations with the multireference unitary coupled cluster ansatz: a case study of the C2v2v{}_{\rm 2v}start_FLOATSUBSCRIPT 2 roman_v end_FLOATSUBSCRIPT quasi-reaction pathway of beryllium insertion into a H22{}_{2}start_FLOATSUBSCRIPT 2 end_FLOATSUBSCRIPT molecule. Phys. Chem. Chem. Phys., 24:8439–8452, 2022.
- cuQuantum SDK: A high-performance library for accelerating quantum science. arXiv:2308.01999v1, 2023.
- Bayesian phase difference estimation algorithm for direct calculation of fine structure splitting: accelerated simulation of relativistic and quantum many-body effects. Electron. Struct., 5:035006, 2023.
- Quantifying the effect of gate errors on variational quantum eigensolvers for quantum chemistry. npj Quantum Info., 10:18, 2024.
- Fragmentation methods: A route to accurate calculations on large systems. Chem. Rev., 112:632–672, 2012.
- Energy-based molecular fragmentation methods. Chem. Rev., 115:5607–5642, 2015.
- K. Raghavachari and A. Saha. Accurate composite and fragment-based quantum chemical models for large molecules. Chem. Rev., 115:5643–5677, 2015.
- Towards the practical application of near-term quantum computers in quantum chemistry simulations: A problem decomposition approach. arXiv:1806.01305v1, 2018.
- Fragment molecular orbital method: an approximate computational method for large molecules. Chem. Phys. Lett., 313:701–706, 1999.
- Implementation of divide-and-conquer method including Hartree-Fock exchange interaction. J. Comput. Chem., 28:2003–2012, 2007.
- G. Knizia anbd G. K.-L. Chan. Density matrix embedding: A simple alternative to dynamical mean-field theory. Phys. Rev. Lett., 109:186404, 2012.
- Fragment molecular orbital-based variational quantum eigensolver for quantum chemistry in the age of quantum computing. Sci. Rep., 14:2422, 2024.
- D. Fedorov and K. Kitaura, editors. The Fragment Molecular Orbital Method: Practical Applications to Large Molecular Systems. CRC Press, Florida, 2009.
- Recent Advances of the Fragment Molecular Orbital Method - Enhanced Performance and Applicability. Springer, Berlin, 2021.
- A. Szabo and N. S. Ostlund. Modern Quantum Chemistry: Introduction to Advanced Electronic Structure Theory. Macmillan Publishing, New York, 1982.
- D. G. Fedorov. The fragment molecular orbital method: theoretical development, implementation in GAMESS, and applications. WIREs Comput. Mol. Sci., 7:e1322, 2017.
- Theoretical study of the prion protein based on the fragment molecular orbital method. J. Comput. Chem., 30:2594–2601, 2009.
- Electron-correlated fragment-molecular-orbital calculations for biomolecular and nano systems. Phys. Chem. Chem. Phys., 16:10310–10344, 2014.
- The ABINIT-MP program. In Y. Mochizuki, S. Tanaka, and K. Fukuzawa, editors, Recent Advances of the Fragment Molecular Orbital Method: Enhanced Performance and Applicability, pages 53–67. Springer, Berlin, 2021.
- A parallelized integral-direct second-order Møller–Plesset perturbation theory method with a fragment molecular orbital scheme. Theor. Chem. Acc., 112:442–452, 2004.
- Large scale MP2 calculations with fragment molecular orbital scheme. Chem. Phys. Lett., 396:473–479, 2004.
- Large scale FMO-MP2 calculations on a massively parallel-vector computer. Chem. Phys. Lett., 457:396–403, 2008.
- I. Shavitt and R. J. Bartlett. Many-Body Methods in Chemistry and Physics: MBPT and Coupled-Cluster Theory. Cambridge University Press, Cambridge, 2009.
- Large-scale FMO-MP3 calculations on the surface proteins of influenza virus, hemagglutinin (HA) and neuraminidase (NA). Chem. Phys. Lett., 493:346–352, 2010.
- Higher-order correlated calculations based on fragment molecular orbital scheme. Theor. Chem. Acc., 130:515–530, 2011.
- Gaussian 16, Revision B.01, 2016. Gaussian Inc. Wallingford CT.
- A. D. Becke. A new mixing of Hartree–Fock and local density-functional theories. J. Chem. Phys., 98:1372–1377, 1993.
- A consistent and accurate ab initio parametrization of density functional dispersion correction (DFT-D) for the 94 elements H-Pu. J. Chem. Phys., 132:154104, 2010.
- A complete basis set model chemistry. II. Open‐shell systems and the total energies of the first‐row atoms. J. Chem. Phys., 94:6081–6090, 1991.
- Self-consistent molecular-orbital methods. I. Use of Gaussian expansions of Slater-type atomic orbitals. J. Chem. Phys., 51:2657–2664, 1969.
- Ab initio study of the π𝜋\piitalic_π‐electron states of trans‐butadiene. J. Chem. Phys., 62:4764–4779, 1975.
- Quantum chemistry as a benchmark for near-term quantum computers. npj Quantum Info., 5:99, 2019.
- Reduction of orbital space for molecular orbital calculations with quantum computation simulator for educations. ChemRxiv.9863810.v1, 2019.
- The variational quantum eigensolver: A review of methods and best practices. Phys. Rep., 986:1–128, 2022.
- Tapering off qubits to simulate fermionic Hamiltonians. arXiv:1701.08213v1, 2017.
- OpenFermion: the electronic structure package for quantum computers. Quantum Sci. Technol., 5:034014, 2020.
- Cirq developers. Cirq (v1.2.0). Zenodo. https://doi.org/10.5281/zenodo.8161252.
- A comparison of the Bravyi–Kitaev and Jordan–Wigner transformations for the quantum simulation of quantum chemistry. J. Chem. Theory Comput., 14:5617–5630, 2018.
- M. J. D. Powell. A direct search optimization method that models the objective and constraint functions by linear interpolation. In S. Gomez and J.-P. Hennart, editors, Advances in Optimization and Numerical Analysis, pages 51–67. Springer, Dordrecht, 1994.
- M. J. D. Powell. An efficient method for finding the minimum of a function of several variables without calculating derivatives. Comp. J., 7:155–162, 1964.
- SciPy 1.0: fundamental algorithms for scientific computing in Python. Nat. Methods, 17:261–272, 2020.
- Application of Hilbert-space coupled-cluster theory to simple (H22{}_{2}start_FLOATSUBSCRIPT 2 end_FLOATSUBSCRIPT)22{}_{2}start_FLOATSUBSCRIPT 2 end_FLOATSUBSCRIPT model systems: Planar models. Phys. Rev. A, 47:2738–2782, 1993.
- Chemical basis of Trotter-Suzuki errors in quantum chemistry simulation. Phys. Rev. A, 91:022311, 2015.
- M. Möller and C. Vuik. On the impact of quantum computing technology on future developments in high-performance scientific computing. Ethics Info. Technol., 19:253–269, 2017.
- Quantum phase estimations of benzene and its derivatives on GPGPU quantum simulators. arXiv:2312.16375v1, 2023.
- Applications of noisy quantum computing and quantum error mitigation to “adamantaneland”: a benchmarking study for quantum chemistry. Phys. Chem. Chem. Phys., 26:4071–4082, 2024.
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