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Milosh Drezgich

Publications and source records attributed to Milosh Drezgich.

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Complete Characterization of Mixing Time for the Continuous Quantum Walk on the Hypercube with Markovian Decoherence Model

The n-dimensional hypercube quantum random walk (QRW) is a particularily appealing example of a quantum walk because it has a natural implementation on a register on $n$ qubits. However, any real implementation will encounter decoherence effects due to interactions with uncontrollable degrees of freedom. We present a complete characterization of the mixing properties of the hypercube QRW under a physically relevant Markovian decoherence model. In the local decoherence model considered the non-unitary dynamics are modeled as a sum of projections on individual qubits to an arbitrary direction on the Bloch sphere. We prove that there is always classical (asymptotic) mixing in this model and specify the conditions under which instantaneous mixing \textit{always} exists. And we show that the latter mixing property, as well as the classical mixing time, depend heavily on the exact environmental interaction and its strength. Therefore, algorithmic applications of the QRW on the hypercube, if they intend to employ mixing properties, need to consider both the walk dynamics and the precise decoherence model.

quant-ph

On the Quantum Circuit Complexity Equivalence

Nielsen \cite{Nielsen05} recently asked the following question: "What is the minimal size quantum circuit required to exactly implement a specified $% \mathit{n}$-qubit unitary operation $U$, without the use of ancilla qubits?" Nielsen was able to prove that a lower bound on the minimal size circuit is provided by the length of the geodesic between the identity $I$ and $U$, where the length is defined by a suitable Finsler metric on $SU(2^{n})$. We prove that the minimum circuit size that simulates $U$ is in linear relation with the geodesic length and simulation parameters, for the given Finsler structure $F$. As a corollary we prove the highest lower bound of $O(\frac{% n^{4}}{p}d_{F_{p}}^{2}(I,U)L_{F_{p}}(I,\tilde{U})) $and the lowest upper bound of $Ω(n^{4}d_{F_{p}}^{3}(I,U))$, for the standard simulation technique. Therefore, our results show that by standard simulation one can not expect a better then $n^{2}$ times improvement in the upper bound over the result from Nielsen, Dowling, Gu and Doherty \cite{Nielsen06}. Moreover, our equivalence result can be applied to the arbitrary path on the manifold including the one that is generated adiabatically.

quant-ph