AbstractThis paper investigates the computational power of space-bounded quantum Turing machines. The following facts are proved for space-constructible space bounds s satisfying s(n)=Ω(logn): 1.Any quantum Turing machine (QTM) running in space s can be simulated by an unbounded error probabilistic Turing machine (PTM) run- ning in space O(s). No assumptions on the probability of error or running time for the QTM are required, although it is assumed that all transition amplitudes of the QTM are rational. 2.Any PTM that runs in space s and halts absolutely (i.e., has finite worst-case running time) can be simulated by a QTM running in space O(s). If the PTM operates with bounded error, then the QTM may be taken to operate with bounded error ...
The quantum model of computation is a probabilistic model, similar to the probabilistic Turing Machi...
Abstract. The quantum model of computation is a model, analogous to the probabilistic Turing machine...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
AbstractThis paper investigates the computational power of space-bounded quantum Turing machines. Th...
AbstractWe prove the following facts about the language recognition power of quantum Turing machines...
It is known that poly-time constant-space quantum Turing machines (QTMs) and logarithmic-space proba...
Although quantum algorithms realizing an exponential time speed-up over the best known classical alg...
AbstractWe study three aspects of the power of space-bounded probabilistic Turing machines. First, w...
AbstractIn this paper, the space complexity of non-uniform quantum algorithms is investigated using ...
Space-bounded computation has been a central topic in classical and quantum complexity theory. In th...
In this paper, we extend the techniques used in our previous work to show that there exists a probab...
Abstract. In this paper we study quantum computation from a complexity theoretic viewpoint. Our rst ...
Post-selection, the power of discarding all runs of a computation in which an undesirable event occu...
We give two time- and space-efficient simulations of quantum computations with intermediate measurem...
We present a classical probabilistic simulation technique of quantum Turing machines. As a corollary...
The quantum model of computation is a probabilistic model, similar to the probabilistic Turing Machi...
Abstract. The quantum model of computation is a model, analogous to the probabilistic Turing machine...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
AbstractThis paper investigates the computational power of space-bounded quantum Turing machines. Th...
AbstractWe prove the following facts about the language recognition power of quantum Turing machines...
It is known that poly-time constant-space quantum Turing machines (QTMs) and logarithmic-space proba...
Although quantum algorithms realizing an exponential time speed-up over the best known classical alg...
AbstractWe study three aspects of the power of space-bounded probabilistic Turing machines. First, w...
AbstractIn this paper, the space complexity of non-uniform quantum algorithms is investigated using ...
Space-bounded computation has been a central topic in classical and quantum complexity theory. In th...
In this paper, we extend the techniques used in our previous work to show that there exists a probab...
Abstract. In this paper we study quantum computation from a complexity theoretic viewpoint. Our rst ...
Post-selection, the power of discarding all runs of a computation in which an undesirable event occu...
We give two time- and space-efficient simulations of quantum computations with intermediate measurem...
We present a classical probabilistic simulation technique of quantum Turing machines. As a corollary...
The quantum model of computation is a probabilistic model, similar to the probabilistic Turing Machi...
Abstract. The quantum model of computation is a model, analogous to the probabilistic Turing machine...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...