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Decrease of Fisher information and the information geometry of evolution equations for quantum mechanical probability amplitudes

Carlo Cafaro1 and Paul M. Alsing2

  • 1SUNY Polytechnic Institute, 12203 Albany, New York, USA
  • 2Air Force Research Laboratory, Information Directorate, 13441 Rome, New York, USA

Phys. Rev. E 97, 042110 – Published 9 April, 2018

DOI: https://doi.org/10.1103/PhysRevE.97.042110

Abstract

The relevance of the concept of Fisher information is increasing in both statistical physics and quantum computing. From a statistical mechanical standpoint, the application of Fisher information in the kinetic theory of gases is characterized by its decrease along the solutions of the Boltzmann equation for Maxwellian molecules in the two-dimensional case. From a quantum mechanical standpoint, the output state in Grover's quantum search algorithm follows a geodesic path obtained from the Fubini-Study metric on the manifold of Hilbert-space rays. Additionally, Grover's algorithm is specified by constant Fisher information. In this paper, we present an information geometric characterization of the oscillatory or monotonic behavior of statistically parametrized squared probability amplitudes originating from special functional forms of the Fisher information function: constant, exponential decay, and power-law decay. Furthermore, for each case, we compute both the computational speed and the availability loss of the corresponding physical processes by exploiting a convenient Riemannian geometrization of useful thermodynamical concepts. Finally, we briefly comment on the possibility of using the proposed methods of information geometry to help identify a suitable trade-off between speed and thermodynamic efficiency in quantum search algorithms.

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References (93)

  1. B. R. Frieden, Fisher information, disorder, and the equilibrium distributions of physics, Phys. Rev. A 41, 4265 (1990).
  2. B. R. Frieden and R. J. Hughes, Spectral 1/f noise derived from extremized physical information, Phys. Rev. E 49, 2644 (1994).
  3. B. R. Frieden and W. J. Cocke, Foundation for Fisher-information-based derivations of physical laws, Phys. Rev. E 54, 257 (1996).
  4. B. R. Frieden and B. H. Soffer, Lagrangians of physics and the game of Fisher-information transfer, Phys. Rev. E 52, 2274 (1995).
  5. M. Reginatto, Derivation of the equations of nonrelativistic quantum mechanics using the principle of minimum Fisher information, Phys. Rev. A 58, 1775 (1998).
  6. M. J. W. Hall, Quantum properties of classical Fisher information, Phys. Rev.A 62, 012107 (2000).
  7. S. Luo, Fisher information, kinetic energy and uncertainty relation inequalities, J. Phys. A 35, 5181 (2002).
  8. B. R. Frieden, Physics from Fisher Information (Cambridge University Press, New York, 1998).
  9. H. P. McKean, Speed of approach to equilibrium for Kac's caricature of a Maxwellian gas, Arch. Rat. Mech. Anal. 21, 343 (1966).
  10. G. Toscani, Entropy production and the rate of convergence to equilibrium for the Fokker-Planck equation, Q. Appl. Math. 57, 521 (1999).
  11. G. Toscani, New a priori estimates for the spatially homogeneous Boltzmann equation, Cont. Mech. Thermodyn. 4, 81 (1992).
  12. C. Villani, Fisher information bounds for Boltzmann's collision operator, J. Math. Pures Appl. 77, 821 (1998).
  13. C. Villani, On the spatially homogeneous Landau equation for Maxwellian molecules, Math. Mod. Meth. Appl. Sci. 8, 957 (1998).
  14. C. Villani, On a new class of weak solutions to the spatially homogeneous Boltzmann and Landau equations, Arch. Rat. Mech. Anal. 143, 273 (1998).
  15. C. Villani, Decrease of the Fisher information for the Landau equation with Maxwellian molecules, Math. Mod. Meth. Appl. Sci. 10, 153 (2000).
  16. A. Carlini, A. Hosoya, T. Koike, and Y. Okudaira, Time-Optimal Quantum Evolution, Phys. Rev. Lett. 96, 060503 (2006).
  17. A. T. Rezakhani, W.-J. Kuo, A. Hamma, D. A. Lidar, and P. Zanardi, Quantum Adiabatic Brachistochrone, Phys. Rev. Lett. 103, 080502 (2009).
  18. A. T. Rezakhani, D. F. Abasto, D. A. Lidar, and P. Zanardi, Intrinsic geometry of quantum adiabatic evolution and quantum phase transitions, Phys. Rev. A 82, 012321 (2010).
  19. M. Hubner, Explicit computation of the Bures distance for density matrices, Phys. Lett. A 163, 239 (1992).
  20. N. Margolus and L. B. Levitin, The maximum speed of quantum evolution, Physica D 120, 188 (1998).
  21. M. Andrecut and M. K. Ali, The adiabatic analog of the Margolus-Levitin theorem, J. Phys. A 37, L157 (2004).
  22. M. M. Taddei, B. M. Escher, L. Davidovich, and R. L. de Matos Filho, Quantum Speed Limits for Physical Processes, Phys. Rev. Lett. 110, 050402 (2013).
  23. A. del Campo, I. L. Egusquiza, M. L. Plenio, and S. F. Huelga, Quantum Speed Limits in Open Quantum Systems, Phys. Rev. Lett. 110, 050403 (2013).
  24. S. Deffner and E. Lutz, Quantum Speed Limit for Non-Markovian Dynamics, Phys. Rev. Lett. 111, 010402 (2013).
  25. P. J. Jones and P. Kok, Geometric derivation of the quantum speed limit, Phys. Rev. A 82, 022107 (2010).
  26. M. Zwierz, Comment on Geometric derivation of the quantum speed limit, Phys. Rev. A 86, 016101 (2012).
  27. F. Verstraete, M. M. Wolf, and J. I. Cirac, Quantum computation and quantum-state engineering driven by dissipation, Nature Phys. 5, 633 (2009).
  28. R. J. C. Spreeuw and T. W. Hijmans, Robust quantum searching with spontaneously decaying qubits, Phys. Rev. A 76, 022306 (2007).
  29. M. H. S. Amin, P. J. Love, and C. J. S. Truncik, Thermally Assisted Adiabatic Quantum Computation, Phys. Rev. Lett. 100, 060503 (2008).
  30. I. de Vega, M. C. Banuls, and A. Perez, Effects of dissipation on an adiabatic quantum search algorithm, New. J. Phys. 12, 123010 (2010).
  31. A. Mizel, Critically Damped Quantum Search, Phys. Rev. Lett. 102, 150501 (2009).
  32. J. J. Alvarez and C. Gomez, A comment on Fisher information and quantum algorithms, arXiv:quant-ph/9910115.
  33. A. Miyake and M. Wadati, Geometric strategy for the optimal quantum search, Phys. Rev. A 64, 042317 (2001).
  34. C. Cafaro and S. Mancini, An information geometric viewpoint of algorithms in quantum computing, in Bayesian Inference and Maximum Entropy Methods in Science and Engineering, AIP Conf. Proc. 1443, 374 (2012).
  35. C. Cafaro and S. Mancini, On Grover's search algorithm from a quantum information geometry viewpoint, Physica A 391, 1610 (2012).
  36. C. Cafaro, Geometric algebra and information geometry for quantum computational software, Physica A 470, 154 (2017).
  37. P. Salamon and R. S. Berry, Thermodynamic Length and Dissipated Availability, Phys. Rev. Lett. 51, 1127 (1983).
  38. T. M. Cover and J. A. Thomas, Elements of Information Theory (John Wiley & Sons, New York, 2006).
  39. G. E. Crooks, Fisher information and statistical mechanics, Technical note 008v4, http://threeplusone.com/fisher (2012).
  40. S. Braunstein and C. M. Caves, Statistical Distance and the Geometry of Quantum States, Phys. Rev. Lett. 72, 3439 (1994).
  41. S. Boixo, S. T. Flammia, C. M. Caves, and J. M. Geremia, Generalized Limits for Single-Parameter Quantum Estimation, Phys. Rev. Lett. 98, 090401 (2007).
  42. S. L. Braunstein, C. M. Caves, and J. Milburn, Generalized uncertainty relations: Theory, examples, and Lorenz invariance, Ann. Phys. 247, 135 (1996).
  43. L. Pezze and A. Smerzi, Entanglement, Nonlinear Dynamics, and the Heisenberg Limit, Phys. Rev. Lett. 102, 100401 (2009).
  44. S. Luo, Wigner-Yanase Skew Information and Uncertainty Relations, Phys. Rev. Lett. 91, 180403 (2003).
  45. G. A. Durkin and J. P. Dowling, Local and Global Distinguishability in Quantum Interferometry, Phys. Rev. Lett. 99, 070801 (2007).
  46. S. Boixo and A. Monras, Operational Interpretation for Global Multipartite Entanglement, Phys. Rev. Lett. 100, 100503 (2008).
  47. S. Amari and H. Nagaoka, Methods of Information Geometry (Cambridge University Press, Cambridge, 2000).
  48. S. Luo, Fisher information of wavefunctions: Classical and quantum, Chin. Phys. Lett. 23, 3127 (2006).
  49. J. P. Provost and G. Vallee, Riemannian structure on manifolds of quantum states, Comm. Math. Phys. 76, 289 (1980).
  50. S. L. Braunstein and C. M. Caves, Geometry of quantum states, Ann. N. Y. Acad. Sci. 755, 786 (1995).
  51. C. Cafaro and S. Mancini, Characterizing the depolarizing quantum channel in terms of Riemannian geometry, in Folding and Unfolding: Interactions from Geometry, Int. J. Geom. Meth. Mod. Phys. 9, 1260020 (2012).
  52. D. J. C. Bures, An extension of Kakutani's theorem on infinite product measures to the tensor product of semifinite w*-algebras, Trans. Am. Math. Soc. 135, 199 (1969).
  53. A. Uhlmann, The transition probability in the space of *-algebra, Rep. Math. Phys. 9, 273 (1976).
  54. C. A. Fuchs, Distinguishability and accessible information in quantum theory, Ph.D. thesis, University of New Mexico (1995).
  55. I. Bengtsson and K. Zyczkowski, Geometry of Quantum States (Cambridge University Press, New York, 2006).
  56. D. Petz, Quantum Information Theory and Quantum Statistics (Springer, Berlin Heidelberg, 2008).
  57. W. K. Wootters, Statistical distance and Hilbert space, Phys. Rev. D 23, 357 (1981).
  58. A. C. King, J. Billingham, and S. R. Otto, Differential Equations (Cambridge University Press, Cambridge, 2003).
  59. B. R. Frieden, A. Plastino, and B. H. Soffer, Schrödinger link between nonequilibrium thermodynamics and Fisher information, Phys. Rev. E 66, 046128 (2002).
  60. S. P. Flego, B. R. Frieden, A. Plastino, A. R. Plastino, and B. H. Soffer, Nonequilibrium thermodynamics and Fisher information: Sound wave propagation in a dilute gas, Phys. Rev. E 68, 016105 (2003).
  61. F. Pennini and A. Plastino, Heisenberg-Fisher thermal uncertainty measure, Phys. Rev. E 69, 057101 (2004).
  62. V. Giovannetti, S. Lloyd, and L. Maccone, Quantum Metrology, Phys. Rev. Lett. 96, 010401 (2006).
  63. S. Pang and T. A. Brun, Quantum metrology for a general Hamiltonian parameter, Phys. Rev. A 90, 022117 (2014).
  64. D.-H. Kim, S. A. Ali, C. Cafaro, and S. Mancini, Information geometric modeling of scattering induced quantum entanglement, Phys. Lett. A 375, 2868 (2011).
  65. D.-H. Kim, S. A. Ali, C. Cafaro, and S. Mancini, Information geometry of quantum entangled wave-packets, Physica A 391, 4517 (2012).
  66. L. K. Grover, Quantum Mechanics Helps in Searching for a Needle in a Haystack, Phys. Rev. Lett. 79, 325 (1997).
  67. E. Farhi and S. Gutmann, Analog analogue of a digital quantum computation, Phys. Rev. A 57, 2403 (1998).
  68. T. Byrnes, G. Forster, and L. Tessler, Generalized Grover's Algorithm for Multiple Phase Inversion States, Phys. Rev. Lett. 120, 060501 (2018).
  69. J. Bae and Y. Kwon, Generalized quantum search Hamiltonian, Phys. Rev. A 66, 012314 (2002).
  70. L. K. Grover, Fixed-Point Quantum Search, Phys. Rev. Lett. 95, 150501 (2005).
  71. A. Perez and A. Romanelli, Nonadiabatic quantum search algorithms, Phys. Rev. A 76, 052318 (2007).
  72. A. M. Dalzell, T. J. Yoder, and I. L. Chuang, Fixed-point adiabatic quantum search, Phys. Rev. A 95, 012311 (2017).
  73. G. M. Rotskoff, G. E. Crooks, and E. Vanden-Eijnden, Geometric approach to optimal nonequilibrium control: Minimizing dissipation in nanomagnetic spin systems, Phys. Rev. E 95, 012148 (2017).
  74. L. Hatvani, On the damped harmonic oscillator with time dependent damping coefficient, J. Dyn. Differ. Eq. 30, 25 (2018).
  75. K. H. Hoffmann, B. Andresen, and P. Salamon, Measures of dissipation, Phys. Rev. A 39, 3618 (1989).
  76. P. Salamon, J. Nulton, and E. Ihrig, On the relation between entropy and energy versions of thermodynamic length, J. Chem. Phys. 80, 436 (1984).
  77. B. Andresen and J. M. Gordon, Constant thermodynamic speed for minimizing entropy production in thermodynamic processes and simulated annealing, Phys. Rev. E 50, 4346 (1994).
  78. W. Spirkl and H. Ries, Optimal finite-time endoreversible processes, Phys. Rev. E 52, 3485 (1995).
  79. L. Diosi, K. Kulacsy, B. Lukacs, and A. Racz, Thermodynamic length, time, speed, and optimum path to minimize entropy production, J. Chem. Phys. 105, 11220 (1996).
  80. L. Diosi and P. Salamon, From statistical distances to minimally dissipative processes, in Thermodynamics of Energy Conversion and Transport, edited by S. Sieniutycz and A. De Vos (Springer, New York, 2000), pp. 286–318.
  81. K. Huang, Statistical Mechanics (John Wiley & Sons, New York, 1987).
  82. J. W. Gibbs, The Collected Works of J. Willard Gibbs (Longmans, Green, London, 1928), Vol. 1.
  83. J. H. Keenan, Availability and irreversibility in thermodynamics, Br. J. Appl. Phys. 2, 183 (1951).
  84. F. Schlogl, Thermodynamic metric and stochastic measures, Z. Phys. B 59, 449 (1985).
  85. D. Brody and N. Rivier, Geometrical aspects of statistical mechanics, Phys. Rev. E 51, 1006 (1995).
  86. G. E. Crooks, Measuring Thermodynamic Length, Phys. Rev. Lett. 99, 100602 (2007).
  87. D. A. Sivak and G. E. Crooks, Thermodynamic Metrics and Optimal Paths, Phys. Rev. Lett. 108, 190602 (2012).
  88. D. Castelvecchi, Clash of the physics laws, Nature (London) 543, 597 (2017).
  89. S. Campbell and S. Deffner, Trade-off Between Speed and Cost in Shortcuts to Adiabaticity, Phys. Rev. Lett. 118, 100601 (2017).
  90. C. Cafaro, S. A. Ali, and A. Giffin, Thermodynamic aspects of information transfer in complex dynamical systems, Phys. Rev. E 93, 022114 (2016).
  91. C. Cafaro and S. A. Ali, Maximum caliber inference and the stochastic Ising model, Phys. Rev. E 94, 052145 (2016).
  92. S. A. Ali and C. Cafaro, Theoretical investigations of an information geometric approach to complexity, Rev. Math. Phys. 29, 1730002 (2017).
  93. D. Felice, C. Cafaro, and S. Mancini, Information geometric methods for complexity, CHAOS 28, 032101 (2018).

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