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The Classical Behavior of Quantum Systems James Hartle, Santa Barbara Murray Gell-Mann, Mark Srednicki IBM Watson Labs, August 12, 2014 The Questions When can a quantum state, pure or mixed, be said to be classical? What properties of


  1. The Classical Behavior of Quantum Systems James Hartle, Santa Barbara Murray Gell-Mann, Mark Srednicki IBM Watson Labs, August 12, 2014

  2. The Questions • When can a quantum state, pure or mixed, be said to be classical? • What properties of dynamics produce and preserve classicality for long times, and how is this related to the production of records? • How is classicality connected with self-organization and computational complexity, and in particular to the emergence of the kind of observers relevant to anthropic reasoning in cosmology?

  3. Are there Classical States?

  4. A quantum system behaves classically when, in a set of suitably coarse-grained histories, the probability is high for histories exhibiting correlations in time governed by deterministic dynamical laws.

  5. The Orbit of the Earth around the Sun

  6. Classical States? Probabilities for histories of a system depend on: • The system’s quantum state and dynamics. • The coarse graining that defines the histories. There are only classical states relative to a specified coarse graining.

  7. The Universe Has a Classical Quantum State

  8. The Quasiclassical Realm - A feature of our Universe The wide range of time, place and scale on which the laws of classical physics hold to an excellent approximation. • From the Planck era forward. • Everywhere in the visible universe. • Lab scales to cosmological.

  9. WKB States are Classical Semiclassical form: Ψ ( q 0 ) = A ( q 0 ) e iS ( q 0 ) / ¯ h • When S(q 0 ) varies rapidly and A(q 0 ) varies slowly, high probabilities are predicted for classical correlations in time of suitably coarse grained histories. • For each q 0 there is a classical history with momentum: p 0 = ∇ S ( q 0 ) p (class . hist . ) = | A ( q 0 ) | 2 and probability:

  10. The No-Boundary Quantum State of the Universe Stephen Hawking � Ψ ( 3 G ) = exp[ − I ( 4 G ) / � ] 4 G Evaluated in the saddle point approximation this is a WKB state that predicts the probabilities of an ensemble of classical spacetimes.

  11. Decoherent Histories Quantum Theory

  12. Decoherent Histories Quantum Mechanics (DH) Decoherent Histories QM Consistent Histories QM ≈

  13. Theoretical Inputs H Text | Ψ �

  14. The most general objective of any quantum theory are the probabilities for the members of sets of coarse- grained alternative histories of the closed system.

  15. Interference an Obstacle to Assigning Probabilities to Histories y U y L 2 � p ( y ) = p U ( y ) + p L ( y ) | ψ U ( y ) + ψ L ( y ) | 2 � = | ψ U ( y ) | 2 + | ψ L ( y ) | 2 It is inconsistent to assign probabilities to this set of histories.

  16. Environments can cause Decoherence p ( y ) = p U ( y ) + p L ( y ) It is consistent to assign probabilities to this set of histories because they decohere.

  17. Which Sets of y Histories U y Can be Assigned L Probabilities? 2 � NRQM: Assign probabilities only to sets of histories DH: Assign probabilities to sets of histories that that have been measured. decohere, ie. for which there is negligible interference between members of the set as a consequence of H and Ψ . Decoherence implies Consistent Probabilities .

  18. Histories • Sets of histories are specified by a sequence of sets of alternatives at a series of times t 1 , t 2 , · · · t n { P 1 α 1 ( t 1 ) } , { P 2 α 2 ( t 2 ) } , · · · , { P n α n ( t n ) } • An individual history is a c α particular set of alternatives: α = ( α 1 , α 2 , · · · α n ) represented by the corresponding chain of projections: α n ( t n ) · · · P 1 C α = P n α 1 ( t 1 )

  19. Decoherent Histories QM • Input: Dynamics S, Initial state | Ψ � • Sets of Fine Grained Histories: all Feynman paths for particles, all 4-d field configurations for fields. • Sets of Coarse Grained Histories: partitions of a fine grained set into classes which are the coarse- c α grained histories represented by operators: � C α = P n α n ( t n ) · · · P 1 α 1 ( t 1 ) or C α ≡ exp( iS [ hist ]) • Decoherence functional measuring interference hist ∈ α between coarse-grained histories: D ( α ′ , α ) ≡ Tr ( C † α ′ ρ C α ) • Probabilities are predicted for sets that decohere: p ( α ) D ( α ′ , α ) ≈ δ α ′ α p ( α )

  20. Automatic Consequences of Decoherence • Environments: The P’s specify what the coarse graining follows, the rest is the environment. The system environment split of the Hilbert space can be constructed from the P’s (Brun, a.o.) • Records: Medium decoherence implies records. h Ψ α | Ψ β i ⇡ δ αβ | Ψ α i ⌘ C α | Ψ i { R α } Then there exist a set of records at one time such that such that. R α | Ψ i = C α | Ψ i All decoherent sets are recorded not just classical ones. et of records at one time such that wher

  21. Probabilities for Classical Eqns Gell-Mann, in Oscillator Models a.o. ’93 The probabilities for histories are approximately: � � � 2 � M ¯ � � h ) E ( x ( t )) 2 p ( α ) = δ x ( · · · ) exp ( w ( x 0 , p 0 ) dt − 2¯ 2 M γ kT B h α where is the Wigner distribution of ρ ( x ′ w ( x 0 , p 0 ) ¯ 0 , x 0 ) is the classical equation of x − ω 2 x + 2 γ ˙ E ( x ( t )) ≡ ¨ x motion. The probabilities are highest when the classical equations of motion E=0 are satisfied. That is a prediction of classical correlations in time. The width of the dist. represents thermal and quantum noise causing deviations from classical predictability.

  22. Decoherence, Noise, and Inertia � � � 2 � M ¯ � � h ) E ( x ( t )) 2 p ( α ) = δ x ( · · · ) exp ( w ( x 0 , p 0 ) dt − 2¯ 2 M γ kT B h α Stronger coupling γ and higher temperature T B mean faster decoherence and probably more records but also increased noise and less predictability. Increased inertia M ensures classical predictability. Classical predictability occurs for variables that have the inertia to persist in the face of the noise that typical mechanisms of decoherence produce.

  23. Alternatives to DH are of great interest, if only to guide experiment. Where’s the beef?

  24. Back to the Quasiclassical Realm

  25. Quasiclassical Variables Averages over small volumes of approximately conserved quantities y=6 like energy, momentum and conserved numbers. Approximate conservation leads to ..... 1 � d 3 x � ( � � V ( � y, t ) ≡ x, t ) ( V • Predictability -- persistence in the � y 1 � d 3 x � π V ( � y, t ) ≡ π ( � x, t ) ( � presence of the noise that typical V � y 1 � mechanisms of decoherence produce. d 3 x ν ( � ν V ( � y, t ) ≡ x, t ) ( V � y • Local Equilibrium --- on time scales much shorter than the whole system relaxes. This leads to closed sets of equations of motion, e.g Navier-Stokes (Halliwell, ao.)

  26. Maximality • The histories of the quasiclassical realm should be maximally refined --- as fine grained as possible consistent with decoherence and predictability. • That way the quasiclassical realm is a feature of the universe and not a matter of our choice as human IGUSes.

  27. Origin of the Quasiclassical Realm • Classical spacetime emerges from the quantum gravitational fog at the beginning. • Local Lorentz symmetries imply conservation laws. • Sets of histories defined by averages of densities of conserved quantities over suitably small volumes decohere. • Approximate conservation implies these quasiclassical variables are predictable despite the noise from decoherence. • Local equilibrium implies closed sets of equations of motion governing classical correlations in time.

  28. Our Quasiclassical Realm • Classical Variables (eg energy/vol. ): 1 � d 3 x � ( � � V ( � y, t ) ≡ x, t ) V � y same for momentum and number . π ( � y, t ) � ν ( � y, t ) • Simple: Coarse graining specified by only few parameters (e.g. volumes) and times. • Regular: • In time: high probability for correlations in time specified by deterministic equations. • In space: high probability for homogeneity and isotropy on scales > 100 Mpc. • But also some complexity on local scales.

  29. IGUSes To operate successfully an IGUS needs (among other things): • Easily predictable regularities Its not surprising to find to exploit. IGUSes in realms of • Some complexity to make high predictability and being an IGUS worthwhile. • Get food -- yes, Be food -- no mild complexity like our Make more -- yes, Tolerate quasiclassical one. more -- no.

  30. Simplicity, Complexity, Simplicity • The early universe is simple -- homogeneous, isotropic, matter nearly in thermal equilibrium... • The middle universe is complex-- varied inhomogeneous structures (galaxies, stars, planets, biota, .... • The late universe will be simple -- no protons, no stars, no black holes, no light.... Life requires some complexity, so there is a limited time for life.

  31. Is the quasiclassical realm the unique realm with these levels of predictability and simplicity? To answer we need a measure of classicality defined on realms.

  32. Measures of Classicality

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