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Title: Quantum Computing and Dynamical Quantum Models (quant-ph/0205059)


1
Quantum Computing and Dynamical Quantum
Models(quant-ph/0205059)
  • Scott Aaronson, UC Berkeley
  • QC Seminar
  • May 14, 2002

2
Talk Outline
  • Why you should worry about quantum mechanics
  • Dynamical models
  • Schrödinger dynamics
  • SZK ? DQP
  • Search in N1/3 queries (but not fewer)

3
(No Transcript)
4
A Puzzle
  • Let OR? you seeing a red dot
  • OB? you seeing a blue dot

5
Why Is This An Issue?
  • Quantum theory says nothing about multiple-time
    or transition probabilities
  • Reply
  • But we have no direct knowledge of the past
    anyway, just records
  • But then what is a prediction, or the output
    of a computation, or the utility of a decision?

6
When Does This Arise?
  • When we consider ourselves as quantum systems
  • Not in explicit-collapse models
  • Bohmian mechanics asserts an answer, but assumes
    a specific state space

7
Summary of Results
(submitted to PRL, quant-ph/0205059)
  • What if you could examine an observers entire
    history? Defined class DQP
  • SZK ? DQP. Combined with collision lower bound,
    implies oracle A for which BQPA ? DQPA
  • Can search an N-element list in order N1/3
    steps, though not fewer

8
Dynamical Model
  • Given N?N unitary U and state ? acted on,
    returns stochastic matrix SD(?,U)
  • Must marginalize to single-time probabilities
    diag(?) and diag(U?U-1)
  • Produces history for one N-outcome von Neumann
    observable (i.e. standard basis)
  • Discrete time and state space

9
Axiom Symmetry
D is invariant under relabeling of basis
states D(P?P-1,QUP-1) QD(?,U)P-1
10
Axiom Locality
?1??2 ? P1?P2
U
S
Partition U into minimal blocks of nonzero entries
Locality doesnt imply commutativity
11
Axiom Robustness
1/poly(N) change to ? or U ? 1/poly(N) change to
S
12
Example 1 Product Dynamics
Symmetric, robust, commutative, but not local
13
Example 2 Dieks Dynamics
Symmetric, commutative, local, but not robust
14
Example 3 Schrödinger Dynamics
15
Schrödinger Dynamics (cont)
  • Theorem Iterative process converges. (Uses
    max-flow-min-cut theorem.)
  • Theorem Robustness holds.
  • Also symmetry and locality
  • Commutativity for unentangled states only

16
Computational Model
  • Initial state 0??n
  • Apply poly-size quantum circuits U1,,UT
  • Dynamical model D induces history v1,,vT
  • vi basis state of Ui?U10??n that youre in

17
DQP
  • ?(D) Oracle that returns sample v1,,vT, given
    U1,,UT as input (under model D)
  • DQP Class of languages for which theres one
    BQP?(D) algorithm that works for all symmetric
    local D
  • BQP ? DQP ? PP

18
DQP
BQP
SZK
BPP
19
SZK?DQP
  • Suffices to decide whether two distributions are
    close or far (Sahai and Vadhan 1997)
  • Examples graph isomorphism, collision-finding

20
Why This Worksin any symmetric local model
Let v1x?, v2z?. Then will v3y? with high
probability? Let F x? ? 2-n/2 ?w (-1)x?ww? be
Fourier transform Observation x ? z ? y ? z (mod
2) Need to show F is symmetric under some
permutation of basis states that swaps x? and
y? while leaving z? fixed Suppose we had an
invertible matrix M over (Z2)n such that Mxy,
Myx, MTzz Define permutations ?,? by ?(x)Mx
and ?(z)(MT)-1z then ?(x) ? ?(z) ?
xTMT(MT)-1z ? x ? z (mod 2) Implies that F is
symmetric under application of ? to input basis
states and ?-1 to output basis states
21
Why M Exists
Assume x and y are nonzero (they almost certainly
are) Let a,b be unit vectors, and let L be an
invertible matrix over (Z2)n such that Lax and
Lby Let Q be the permutation matrix that
interchanges a and b while leaving all other unit
vectors fixed Set M LQL-1 Then Mxy,
Myx Also, x?z ? y?z (mod 2) implies aTLTz
bTLTz So QT(LTz) LTz, implying MTz z
22
When Input Isnt Two-to-One
  • Append hash register h(x)? on which Fourier
    transforms dont act
  • Choose h uniformly from all functions
  • 0,1n ? 1,,K
  • Take K1 initially, then repeatedly double K and
    recompute h(x)?
  • For some K, reduces to two-to-one case with high
    probability

23
N1/3 Search Algorithm
N1/3 Grover iterations




24
Concluding Remarks
  • N1/3 bound is optimal NPA ? DQPA for an oracle A
  • With direct access to the past, you could decide
    graph isomorphism in polytime, but probably not
    SAT
  • Contrast Nonlinear quantum theories could
    decide NP and even P in polytime (Abrams and
    Lloyd 1998)
  • Dynamical models more reasonable?
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