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Many problems that take long time to solve on a deterministic Turing machine can be often be solved very quickly on a probabilistic Turing machine However there is a tradeoff between the time it takes to return an answer to a computation and the probability that the returned answer is correct If a correct answer is required, then there is a uncertainty in the length of time the probabilistic algorithm must run To a PTM a state has multiple legitimate successors states available The choice of which state is the one ultimately determined by the outcome of a random choice Models are certainly fine as mathematical abstractions but are they consistent with known physics? 1 Quantum Turing Machines Quantum Turing machines (QTM) are best thought of as quantum generalizations of probabilistic Turing machines In a QTM you start the machine in some initial configuration and allow it to evolve for a certain time At time t the state is described by a superposition of all states reachable in time t The key difference to a PTM is that in PTM only one particular computational trajectory is fallowed, but in QTM all computational trajectories are followed 2 Upon interrogating the QTM for an answer you might be told “yes your assumption is true” but there would be no way to exhibit all computation steps that had gone in order to arrive at the conclusion... Worse, if you tried to peek inside the QTM as it is working, to get some information about the state of the proof at that time, you would invariably disrupt the future course of the proof... 3 Model of Quantum Turing Machines by circuits Quantum circuits/gates Each quantum gate is reversible in the sense that its outputs can be inferred from its input and visa vers From the output of the NAND gate it is impossible to determine if the input was (0,1), (1,0), or (0,0) The NAND gate is irreversible: there is no logic gate capable of inverting the NAND AND, OR gate is irreversible :-( NOT gate is logically reversible ;-) 4 Any irreversible operation in a circuit is necessarily accompanied by the dissipation of heat information is lost, entropy grows Can we compute without dissipating heat? The trick is to compute using only reversible circuit elements! No information loss! Importance to us: quantum gates are most naturally viewed as reversible gates QTM algorithms are likely to be implemented as specialized quantum circuits rather than quantum “programs” running on a universal quantum Turing machine 5