Abstract
Very much as its classical counterpart, quantum cellular automata are expected to be a great tool for simulating complex quantum systems. Here we introduce a partitioned model of quantum cellular automata and show how it can simulate, with the same amount of resources (in terms of effective Hilbert space dimension), various models of quantum walks. All the algorithms developed within quantum walk models are thus directly inherited by the quantum cellular automata. The latter, however, has its structure based on local interactions between qubits, and as such it can be more suitable for present (and future) experimental implementations.
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Notes
Note that the space \(\mathscr {H}_G\) is not given by the tensor product of a space associated to the edges and another space associated to the vertices.
Note that since the evolution for t time steps is given by \(U^t\), then the operator X can be absorbed in the coin operator by suitably applying corrections on the initial and final state: \(U^t =X \cdot (S_I\cdot CX)^t X^{-1}\).
Here again the action of the third tiling can be absorbed in the action of the first one, plus modifications in the initial and final state. We, however, present the translation with three tilings for clarity reasons.
References
Spitzer, F.: Principles of Random Walk, 2nd edn. Springer Science+Business Media, LLC, Berlin (1976)
Singal, V.: Beyond the Randow Walk. Oxford University Press, Oxford (2004)
Shiller, R.J., Perron, P.: Testing the random walk hypothesis: power versus frequency of observation. Econ. Lett. 18(4), 381 (1985). https://doi.org/10.1016/0165-1765(85)90058-8
Fouss, F., Pirotte, A., Renders, J.M., Saerens, M.: Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation. IEEE Trans. Knowl. Data Eng. 19(3), 355 (2007). https://doi.org/10.1109/TKDE.2007.46
Wang, F., Landau, D.P.: Efficient, multiple-range random walk algorithm to calculate the density of states. Phys. Rev. Lett. 86, 2050 (2001). https://doi.org/10.1103/PhysRevLett.86.2050
Jones, R.A.: Soft Condensed Matter, vol. 6. Oxford University Press, Oxford (2002)
Aharonov, Y., Davidovich, L., Zagury, N.: Quantum random walks. Phys. Rev. A 48, 1687 (1993). https://doi.org/10.1103/PhysRevA.48.1687
Molfetta, G.D., Prez, A.: Quantum walks as simulators of neutrino oscillations in a vacuum and matter. New J. Phys. 18(10), 103038 (2016). https://doi.org/10.1088/1367-2630/18/10/103038
Arrighi, P., Facchini, S., Forets, M.: Quantum walking in curved spacetime. Quantum Inf. Process. 15(8), 3467 (2016). https://doi.org/10.1007/s11128-016-1335-7
Portugal, R.: Quantum Walks and Search Algorithm. Springer, Berlin (2013)
Szegedy, M.: Proceedings of the 45th Annual IEEE Symposium on Foundations of Computer Science. IEEE Computer Society, Washington, DC, USA, FOCS’04, pp. 32–41 (2004). https://doi.org/10.1109/FOCS.2004.53
Portugal, R., Santos, R.A.M., Fernandes, T.D., Gonçalves, D.N.: The staggered quantum walk model. Quantum Inf. Process. 15(1), 85 (2016). https://doi.org/10.1007/s11128-015-1149-z
Portugal, R., de Oliveira, M.C., Moqadam, J.K.: Staggered quantum walks with Hamiltonians. Phys. Rev. A 95, 012328 (2017). https://doi.org/10.1103/PhysRevA.95.012328
Childs, A.M.: Universal computation by quantum walk. Phys. Rev. Lett. 102, 180501 (2009). https://doi.org/10.1103/PhysRevLett.102.180501
Childs, A.M., Gosset, D., Webb, Z.: Universal computation by multi-particle quantum walk. Science 339, 791 (2013). https://doi.org/10.1126/science.1229957
Zähringer, F., Kirchmair, G., Gerritsma, R., Solano, E., Blatt, R., Roos, C.F.: Realization of a quantum walk with one and two trapped ions. Phys. Rev. Lett. 104, 100503 (2010). https://doi.org/10.1103/PhysRevLett.104.100503
Dür, W., Raussendorf, R., Kendon, V.M., Briegel, H.J.: Quantum walks in optical lattices. Phys. Rev. A 66, 052319 (2002). https://doi.org/10.1103/PhysRevA.66.052319
Wang, K.M.: Physical Implementation of Quantum Walks. Springer, Berlin (2013)
Chopard, B., Droz, M.: Cellular Automata Modeling of Physical Systems. Cambridge University Press, Cambridge (2005)
Wolfram, S.: A New Kind of Science. Wolfram Media, Champaign (2002)
von Neumann, J.: Theory of Self-Reproducing Automata. University of Illinois Press, Urbana (1996)
Nandi, S., Kar, B.K., Chaudhuri, P.P.: Theory and applications of cellular automata in cryptography. IEEE Trans. Comput. 43(12), 1346 (1994). https://doi.org/10.1109/12.338094
Frisch, U., Hasslacher, B., Pomeau, Y.: Lattice-gas automata for the Navier–Stokes equation. Phys. Rev. Lett. 56, 1505 (1986). https://doi.org/10.1103/PhysRevLett.56.1505
Green, D.G.: Cellular automata models in biology. Math. Comput. Model. 13(6), 69 (1990). https://doi.org/10.1016/0895-7177(90)90010-K
Grössing, G., Zeilinger, A.: Quantum cellular automata. Complex Syst. 2(2), 197 (1988). http://www.complex-systems.com/abstracts/v02_i02_a04/
Meyer, D.A.: From quantum cellular automata to quantum lattice gases. J. Stat. Phys. 85(5), 551 (1996). https://doi.org/10.1007/BF02199356
Wiesner, K.: Quantum Cellular Automata, pp. 2351–2360. Springer, New York (2012). https://doi.org/10.1007/978-1-4614-1800-9_146
Schumacher, B., Werner, R.F.: Reversible quantum cellular automata, arXiv preprint arXiv:quant-ph/0405174 (2004)
Arrighi, P., Grattage, J.: Partitioned quantum cellular automata are intrinsically universal. Nat. Comput. 11(1), 13 (2012). https://doi.org/10.1007/s11047-011-9277-6
Boixo, S., Rønnow, T.F., Isakov, S.V., Wang, Z., Wecker, D., Lidar, D.A., Martinis, J.M., Troyer, M.: Evidence for quantum annealing with more than one hundred qubits. Nat. Phys. 10, 218 (2014). https://doi.org/10.1038/nphys2900
Kandala, A., Mezzacapo, A., Temme, K., Takita, M., Brink, M., Chow, J.M., Gambetta, J.M.: Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets. Nature 549, 242 (2017). https://doi.org/10.1038/nature23879
Foxen, B., Mutus, J.Y., Lucero, E., Graff, R., Megrant, A., Chen, Y., Quintana, C., Burkett, B., Kelly, J., Jeffrey, E., Yang, Y., Yu, A., Arya, K., Barends, R., Chen, Z., Chiaro, B., Dunsworth, A., Fowler, A., Gidney, C., Giustina, M., Huang, T., Klimov, P., Neeley, M., Neill, C., Roushan, P., Sank, D., Vainsencher, A., Wenner, J., White, T.C., Martinis, J.M.: Qubit compatible superconducting interconnects. Quantum Sci. Technol. 3(1), 014005 (2018). https://doi.org/10.1088/2058-9565/aa94fc
Wootters, W.K., Zurek, W.H.: A single quantum cannot be cloned. Nature 299, 802 (1982). https://doi.org/10.1038/299802a0
Toffoli, T., Margolus, N.: Cellular Automata Machines. Series in Scientific Computation. MIT Press, Cambridge (1987)
Pérez-Delgado, C.A., Cheung, D.: Local unitary quantum cellular automata. Phys. Rev. A 76, 032320 (2007). https://doi.org/10.1103/PhysRevA.76.032320
Watrous, J.: Proceedings of IEEE 36th Annual Foundations of Computer Science, pp. 528–537 (1995). https://doi.org/10.1109/SFCS.1995.492583
Philipp, P., Portugal, R.: Exact simulation of coined quantum walks with the continuous-time model. Quantum Inf. Process. 16(1), 14 (2016). https://doi.org/10.1007/s11128-016-1475-9
Gross, D., Nesme, V., Vogts, H., Werner, R.F.: Index theory of one dimensional quantum walks and cellular automata. Commun. Math. Phys. 310(2), 419 (2012). https://doi.org/10.1007/s00220-012-1423-1
Portugal, R., Boettcher, S., Falkner, S.: One-dimensional coinless quantum walks. Phys. Rev. A 91, 052319 (2015). https://doi.org/10.1103/PhysRevA.91.052319
Portugal, R.: Staggered quantum walks on graphs. Phys. Rev. A 93, 062335 (2016). https://doi.org/10.1103/PhysRevA.93.062335
Portugal, R., Fernandes, T.D.: Quantum search on the two-dimensional lattice using the staggered model with Hamiltonians. Phys. Rev. A 95, 042341 (2017). https://doi.org/10.1103/PhysRevA.95.042341
Khatibi Moqadam, J., de Oliveira, M.C., Portugal, R.: Staggered quantum walks with superconducting microwave resonators. Phys. Rev. B 95, 144506 (2017). https://doi.org/10.1103/PhysRevB.95.144506
Ahlbrecht, A., Alberti, A., Meschede, D., Scholz, V.B., Werner, A.H., Werner, R.F.: Molecular binding in interacting quantum walks. New J. Phys. 14(7), 073050 (2012). https://doi.org/10.1088/1367-2630/14/7/073050
Bisio, A., D’Ariano, G.M., Perinotti, P.: Quantum cellular automaton theory of light. Ann. Phys. 368, 177 (2016). https://doi.org/10.1016/j.aop.2016.02.009
Bisio, A., D’Ariano, G.M., Perinotti, P., Tosini, A.: Thirring quantum cellular automaton. Phys. Rev. A 97, 032132 (2018). https://doi.org/10.1103/PhysRevA.97.032132
Bisio, A., D’Ariano, G.M., Tosini, A.: Quantum field as a quantum cellular automaton: the Dirac free evolution in one dimension. Ann. Phys. 354, 244 (2015). https://doi.org/10.1016/j.aop.2014.12.016
Feynman, R.P.: Simulating physics with computers. Int. J. Theor. Phys. 21(6), 467 (1982). https://doi.org/10.1007/BF02650179
Acknowledgements
We would like to thank Osvaldo J. Farias for various discussions on the topic of quantum cellular automata. We acknowledge financial support from the National Institute for Science and Technology of Quantum Information (INCT-IQ/CNPq, Brazil).
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Costa, P.C.S., Portugal, R. & de Melo, F. Quantum walks via quantum cellular automata . Quantum Inf Process 17, 226 (2018). https://doi.org/10.1007/s11128-018-1983-x
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DOI: https://doi.org/10.1007/s11128-018-1983-x