Universal CA ’ s Based on the Collisions of Soft Spheres

Fredkin’s Billiard Ball Model (BBM) is a continuous classical mechanical model of computation based on the elastic collisions of identical finite-diameter hard spheres. When the BBM is initialized appropriately, the sequence of states that appear at successive integer time-steps is equivalent to a discrete digital dynamics. Here we discuss some models of computation that are based on the elastic collisions of identical finitediameter soft spheres: spheres which are very compressible and hence take an appreciable amount of time to bounce off each other. Because of this extended impact period, these Soft Sphere Models (SSM’s) correspond directly to simple lattice gas automata—unlike the fast-impact BBM. Successive time-steps of an SSM lattice gas dynamics can be viewed as integer-time snapshots of a continuous physical dynamics with a finite-range soft-potential interaction. We present both 2D and 3D models of universal CA’s of this type, and then discuss spatially-efficient computation using momentum conserving versions of these models (i.e., without fixed mirrors). Finally, we discuss the interpretation of these models as relativistic and as semiclassical systems.

[1]  Ralph Baierlein,et al.  Atoms and information theory: An introduction to statistical mechanics , 1971 .

[2]  E. R. Banks INFORMATION PROCESSING AND TRANSMISSION IN CELLULAR AUTOMATA , 1971 .

[3]  Y. Pomeau,et al.  Molecular dynamics of a classical lattice gas: Transport properties and time correlation functions , 1976 .

[4]  Charles H. Bennett,et al.  The thermodynamics of computation—a review , 1982 .

[5]  T. Toffoli,et al.  Conservative logic , 2002, Collision-Based Computing.

[6]  N. Margolus Physics-like models of computation☆ , 1984 .

[7]  Frisch,et al.  Lattice gas automata for the Navier-Stokes equations. a new approach to hydrodynamics and turbulence , 1989 .

[8]  Mark D. Semon,et al.  New Techniques and Ideas in Quantum Measurement Theory , 1988 .

[9]  N. Margolus A Bridge Of Bits , 1992, Workshop on Physics and Computation.

[10]  Anthony J. G. Hey,et al.  Feynman Lectures on Computation , 1996 .

[11]  Cristopher Moore,et al.  Lattice Gas Prediction is P-Complete , 1997, comp-gas/9704001.

[12]  N. Margolus,et al.  The maximum speed of dynamical evolution , 1997, quant-ph/9710043.

[13]  Franco Bagnoli,et al.  Cellular Automata , 2002, Lecture Notes in Computer Science.

[14]  R M D'Souza,et al.  Thermodynamically reversible generalization of diffusion limited aggregation. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[15]  Lov K. Grover,et al.  Quantum computation , 1999, Proceedings Twelfth International Conference on VLSI Design. (Cat. No.PR00013).

[16]  R. D’Souza Macroscopic order from reversible and stochastic lattice growth models , 1999 .

[17]  Michael P. Frank,et al.  Reversibility for efficient computing , 1999 .

[18]  Norman H. Margolus,et al.  Crystalline computation , 1998, comp-gas/9811002.