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Advice Coins

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Hellman-Cover 1970: To distinguish a p=1/2 coin from a p=1/2 coin with constant ... First problem: p could be unbelievably small (1/Ackermann(n)), and info could be ... – PowerPoint PPT presentation

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Title: Advice Coins


1
Advice Coins
  • Scott Aaronson

2
  • PSPACE/coin Class of problems solvable by a
    PSPACE machine that can flip an advice coin
    (heads with probability p, tails with probability
    1-p) as many times as it wants
  • Clear that PSPACE/poly ? PSPACE/coin
  • Other direction? Could PSPACE/coinALL?

3
  • Hellman-Cover 1970 To distinguish a p1/2 coin
    from a p1/2? coin with constant bias, you need
    a probabilistic finite automaton with ?(1/?)
    states
  • I.e. you cant detect a less than 1/exp(n) change
    in p without more than poly(n) bits to record the
    statisticsregardless of how many times you flip
    the coin
  • Seems to answer our question! Except that it
    doesnt

4
  • First problem p could be unbelievably small
    (1/Ackermann(n)), and info could be stored in
    log(1/p)
  • Second problem Hellman-Cover theorem is false
    for quantum finite automata!
  • I can give a QFA with 2 qubits that distinguishes
    p1/2 from p1/2? for any ?gt0
  • So question stands PSPACE/coinALL?
    BQPSPACE/coinALL?

5
  • Main Result PSPACE/coin, BQPSPACE/coin are both
    contained in Something/poly
  • Main Idea Limiting distribution (or quantum
    state) of an s-state automaton can be expressed
    in terms of degree-s rational functions of p.
    These can oscillate at most s times as p goes
    from 0 to 1.
  • Need to count and compare roots of real
    polynomials. If everything is doable in NC, then
    a PSPACE/poly upper bound follows.
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