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| Content Provider | Springer Nature Link |
|---|---|
| Author | Luo, Hao Xue, Peng |
| Copyright Year | 2015 |
| Abstract | The quantum walk (QW) is the term given to a family of algorithms governing the evolution of a discrete quantum system and as such has a founding role in the study of quantum computation. We contribute to the investigation of QW phenomena by performing a detailed numerical study of discrete-time quantum walks. In one dimension (1D), we compute the structure of the probability distribution, which is not a smooth curve but shows oscillatory features on all length scales. By analyzing walks up to N = 1,000,000 steps, we discuss the scaling characteristics and limiting forms of the QW in both real and Fourier space. In 2D, with a view to ready experimental realization, we consider two types of QW, one based on a four-faced coin and the other on sequential flipping of a single two-faced coin. Both QWs may be generated using two two-faced coins, which in the first case are completely unentangled and in the second are maximally entangled. We draw on our 1D results to characterize the properties of both walks, demonstrating maximal speed-up and emerging semi-classical behavior in the maximally entangled QW. |
| Starting Page | 4361 |
| Ending Page | 4394 |
| Page Count | 34 |
| File Format | |
| ISSN | 15700755 |
| Journal | Quantum Information Processing |
| Volume Number | 14 |
| Issue Number | 12 |
| e-ISSN | 15731332 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2015-09-22 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Discrete-time quantum walk Structure of probability distribution Scaling characteristics Pseudo-binomial distribution on the edge of two dimensional quantum walk Quantum Information Technology, Spintronics Quantum Computing Data Structures, Cryptology and Information Theory Quantum Physics Mathematical Physics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Statistical and Nonlinear Physics Theoretical Computer Science Signal Processing Electronic, Optical and Magnetic Materials Electrical and Electronic Engineering Modeling and Simulation |
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