Quantum versus classical probability

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Quantum versus classical probability Jochen Rau Goethe University, Frankfurt arxiv:0710.2119v2 [quant-ph] Duke University, August 18, 2009

Reconstructing quantum theory: In search of a physical principle Motivation from quantum foundations Mathematical apparatus Special relativity Lorentz transformations Quantum mechanics States Unitary evolution Measurement Physical principle space and time not absolute but observer-dependent? causality (light cone) preserved in all frames Duke University, August 2009 1

The issue is pertinent in the quest for a theory of quantum gravity Relevance for quantum gravity Mathematical apparatus General relativity Pseudo-Riemannian manifold Einstein equation Quantum mechanics States Unitary evolution Measurement Physical principle local flatness equivalence principle?? Duke University, August 2009 2

There have been many reconstructive approaches none of them entirely satisfactory Examples for reconstruction Name Protagonists Principal idea Shortcomings Quantum logic Birkhoff, v. Neumann Jauch et al ( Geneva School ) Generalise classical logic: lattice theory Propositions subspaces of Hilbert sp. Skew field remains unspecified (R, C, H) Proof only for d 3 Algebraic Jordan, v. Neumann, Wigner Gelfand, Neumark, Segal Haag, Kastler Algebra of operators (C* algebra) Hermitian elements observables Physical understanding? Operational, convex cone Mackey Ludwig et al ( Marburg School ) Varadarajan, Gudder Focus on primitive laboratory operations Convex geometry of state space Convexity does not suffice Additional mathematical assumptions needed Test spaces Foulis, Randall et al ( Amherst School ) Generalise probability theory How to single out quantum theory from the multitude of conceivable generalisations of classical probability? Duke University, August 2009 3

Interest in quantum foundations has been revived by the advent of quantum computation Motivation from quantum computing Today s talk classical probability theory sum rule, Bayes rule? quantum probability interference, entanglement, Bell, Kochen-Specker? other non-classical probability theories classical information Shannon quantum information Holevo, Schumacher generalised information Physics / computer science / logic classical computing Turing, network model quantum computing no-cloning, teleportation other non-classical forms of information processing Duke University, August 2009 4

Quantum theory and classical probability are often seen as two very different theories... Major differences classical probability quantum theory amplitudes, interference non-commutativity uncertainty relations entanglement violation of Bell inequalities Kochen-Specker theorem... Duke University, August 2009 5

...yet they share a substantial common core Overlap common core classical quantum Duke University, August 2009 6

Logical structure Both classical and quantum theory deal with propositions and logical relations orthomodular poset / orthoalgebra / test space weaker than classical:, defined iff jointly decidable Duke University, August 2009 7

Probabilities satisfy sum and Bayes rules central to ensure consistency Reasoning in the face of uncertainty Bayesian probability Consistency Quantitative rules embodies agent s state of knowledge degree of belief rather than limit of relative frequency can be legitimately assigned not just to ensembles but also to individual systems + path Different ways of using the same information must lead to the same conclusions, irrespective of the particular chosen Sum rule Bayes rule quantum: only if probabilities pertain to propositions that are jointly decidable Cox 1946, Jaynes 2003 Duke University, August 2009 8

Agents can intervene by selection or interrogation Agent intervention Generic setup Two examples input register 1111 10.. algorithm output register S Selection sequence of reprod le measurements register = record of results selection rule, possibly stochastic keep or discard the system 000 11.. machine 1-p p 100 01.. r I Interrogation finite or infinite sequence of reprod le measurements, possibly stochastic register = record of results measurement setups may be controlled by intermediate results (feed forward, as in 1-way q. comp.) no selection, no waste Duke University, August 2009 9

Arbitrary stochastic selection rules are allowed selection can prepare arbitrary states Most general selection normalised to prob(s S,m n...m 1, ) -1 record remains internal to machine sequence of n measurement setups record of results (string of integers) selected prob(x r) = i n...i1 prob(x i n...i 1,m n...m 1, ) prob(i n...i 1 m n...m 1, ) prob(s i n...i 1,S) {{x i } x i =I,d(x i )=k i } parameters of a non-normalised state S( k i ) = dim M({k i }) + S(k i ) classical 0 k i quantum Σ i j k i k j k i2 Duke University, August 2009 10

Arbitrary interrogation algorithms are allowed Most general interrogation normalised to one record remains internal to machine record of results (string of integers) sequence of meas t setups prob(x r) = I,r prob(x r,i, ) prob(r I, ) prob(i r,i) stochastic feed forward Convexity arbitrary mixtures constitute valid posteriors states form a convex set Duke University, August 2009 11

Which additional assumptions are needed to arrive at the classical and quantum case, respectively? Key question? common? core classical quantum ideal: value 1 value 2 variable Not ħ: We consider probability theory, not dynamics! Duke University, August 2009 12

Response to interrogation Only in the quantum case it is possible to prepare arbitrary states by mere interrogation Deterministic, static interrogation Classical invariability Interrogation has no effect: prob(x I, ) = prob(x ) I, x, based on joint decidability Quantum malleability Interrogation can steer a system from any pure state to any other pure state: e,f I: prob(x I,e) = prob(x f) x v. Neumann 1932 Preceding interrogation can make any measurement emulate any other measurement of the same resolution: {x i },{y i } M({k i }) I: prob(y i I, ) = prob(x i ) i, based on quantum Zeno effect Duke University, August 2009 13

Responsiveness to interrogation adds another layer to agent-dependency Agent-dependency : agent-dependent Classical Orthodox: data conclusion Bayes: prior + data conclusion expectation Quantum may inform questions elicit prior + answers conclusion expectation (data) Duke University, August 2009 14

In quantum theory conclusions depend on questions asked Wheeler s game of 20 questions (1/2) Wheeler 1983 ( Law without law ) Duke University, August 2009 16

In quantum theory conclusions depend on questions asked Wheeler s game of 20 questions (2/2) 1 2 3 The word does not already exist out there rather, information about the word is brought into being through the questions raised The answers given are internally consistent; convergence to some word is possible The questioner has influence on the outcome: a different sequence of questions will lead to a different word...like in quantum theory: There is no preexisting reality that is merely revealed, rather than influenced, by the act of measurement The image of reality that emerges through acts of measurement reflects as much the history of intervention as it reflects the external world Wheeler 1983 ( Law without law ) Duke University, August 2009 17

This new form of agent-dependency leads to a radically different world view World view Classical Quantum observe without disturbance reality with independent existence image of reality manipulate in experiment: grab, dissect into parts, select, transform (partial) record of answers: 0111001 1101100...?! ongoing interrogation Duke University, August 2009 18

Conjecture Can agent-dependency serve as a foundational principle for quantum theory? Mathematical apparatus Physical principle Special relativity Lorentz transformations space and time not absolute but observer-dependent causality (light cone) preserved in all frames Quantum mechanics States Unitary evolution Measurement? image of reality not absolute but agent-dependent consistency of reasoning preserved for all agents Duke University, August 2009 19

Response to interrogation Only in the quantum case it is possible to prepare arbitrary states by mere interrogation Hidden, deterministic, static interrogation Classical invariability Interrogation has no effect: prob(x I, ) = prob(x ) I, x, based on joint decidability Quantum malleability Interrogation can steer a system from any pure state to any other pure state: e,f I: prob(x I,e) = prob(x f) x v. Neumann 1932 Preceding interrogation can make any measurement emulate any other measurement of the same resolution: {x i },{y i } M({k i }) I: prob(y i I, ) = prob(x i ) i, based on quantum Zeno effect Duke University, August 2009 20

Maximum agent-dependency rests on the Zeno effect, which in turn presupposes smoothness Smoothness For finite granularity d: 1 Set of pure states X(d) is a continuous, compact, simply connected manifold 2 Probabilities change in a continuous fashion: e 0 e prob(x e) (x e 0 ) Continuity condition: >0 >0: prob(x e)>1- e B(e 0 ; ) X(d) B(e 0 ; ) Robustness under small preparation inaccuracies Duke University, August 2009 21

Continuity in combination with common core leads to quantum theory in Hilbert space over R, C or H Analysis of symmetry group Constraint Implication for group Definition Automorphisms of a proposition system preserve logical relations,, \ granularity d Irreducible building block Group acts transitively on collections M({k i }): M({k i }) ~ G( k i )/ i G(k i ) X(d) ~ M({1,d-1}) X(d) continuous X(d) compact and simply connected (hull of convex set) probabilities change in a continuous fashion transitive on X(d) Lie group compact and simple up to Abelian factor dimensions match dim X(d) = dim G(d) - dim G(d-1) - dim G(1) dim G(d) = dim X(2)/2 d(d-1) + dim G(1) d G(d) {SO(n d), U(n d), Sp(n d) n N} Duke University, August 2009 23

Classical and quantum case derive from common core via additional assumptions on agent-dependency Conclusion 1 R, C or H? common core min 2 prob(x I, )=prob(x ) intermediate cases? max e,f I: prob(x I,e)=prob(x f) classical quantum agentdependency Duke University, August 2009 24

Summary Quantum theory shares with classical probability theory a substantial core of common properties Quantum theory and classical probability theory mark opposite extremes in their response to interrogation quantum theory maximises agent-dependency No reference to unitary evolution primitive operations are measurements only 1 1 see also: T. Rudolph; measurement-based quantum computing Duke University, August 2009 28

Further details: arxiv:0710.2119v2 [quant-ph] Duke University, August 2009 29