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arXiv:1305.5811 · Algebraic Combinatorics

Complex Hadamard matrices, instantaneous uniform mixing and cubes

Ada Chan

Published Jun 2, 2020• 24 citations
arXivHTMLPDF

Abstract

We study the continuous-time quantum walks on graphs in the adjacency algebra of the n -cube and its related distance regular graphs. For k ≥ 2 , we find graphs in the adjacency algebra of ( 2 k + 2 - 8 ) -cube that admit instantaneous uniform mixing at time π / 2 k and graphs that have perfect state transfer at time π / 2 k . We characterize the folded n -cubes, the halved n -cubes and the folded halved n -cubes whose adjacency algebra contains a complex Hadamard matrix. We obtain the same conditions for the characterization of these graphs admitting instantaneous uniform mixing.

DOI
10.5802/alco.112

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We study the continuous-time quantum walks on graphs in the adjacency algebra of the n -cube and its related distance regular graphs. For k ≥ 2 , we find graphs in the adjacency algebra of ( 2 k + 2 - 8 ) -cube that admit instantaneous uniform mixing at time π / 2 k and graphs that have perfect state transfer at time π / 2 k . We characterize the folded n -cubes, the halved n -cubes and the folded halved n -cubes whose adjacency algebra contains a complex Hadamard matrix. We obtain the same conditions for the characterization of these graphs admitting instantaneous uniform mixing.
We consider continuous-time quantum walks on distance-regular graphs. Using results about the existence of complex Hadamard matrices in association schemes, we determine which of these graphs have quantum walks that admit uniform mixing.First we apply a result due to Chan to show that the only strongly regular graphs that admit instantaneous uniform mixing are the Paley graph of order nine and certain graphs corresponding to regular symmetric Hadamard matrices with constant diagonal. Next we prove that if uniform mixing occurs on a bipartite graph XXX with nnn vertices, then nnn is divisible by four. We also prove that if XXX is bipartite and regular, then nnn is the sum of two integer squares. Our work on bipartite graphs implies that uniform mixing does not occur on C2mC_{2m}C2m​ for m≥3m \geq 3m≥3. Using a result of Haagerup, we show that uniform mixing does not occur on CpC_pCp​ for any prime ppp such that p≥5p \geq 5p≥5. In contrast to this result, we see that ϵ\epsilonϵ-uniform mixing occurs on CpC_pCp​ for all primes ppp.
Continuous-time quantum walks on graphs is a generalization of continuous-time Markov chains on discrete structures. Moore and Russell proved that the continuous-time quantum walk on the nnn-cube is instantaneous exactly uniform mixing but has no average mixing property. On complete (circulant) graphs KnK_{n}Kn​, the continuous-time quantum walk is neither instantaneous (except for n=2,3,4n=2,3,4n=2,3,4) nor average uniform mixing (except for n=2n=2n=2). We explore two natural {\em group-theoretic} generalizations of the nnn-cube as a GGG-circulant and as a bunkbed $G \rtimes \Int_{2}$, where GGG is a finite group. Analyses of these classes suggest that the nnn-cube might be special in having instantaneous uniform mixing and that non-uniform average mixing is pervasive, i.e., no memoryless property for the average limiting distribution; an implication of these graphs having zero spectral gap. But on the bunkbeds, we note a memoryless property with respect to the two partitions. We also analyze average mixing on complete paths, where the spectral gaps are nonzero.
We study continuous-time quantum walks on connected strongly regular graphs that are not complete, observed at a random time drawn from a freely chosen probability law. Uniform average mixing (UAM) asks for a law under which every averaged transition probability equals 1/n1/n1/n, where nnn is the number of vertices. On a strongly regular graph this is equivalent to two affine constraints on three cosine moments. We construct a bounded, compactly supported time density for every strongly regular graph with nonintegral eigenvalues. For integral spectra we give an exact finite Toeplitz criterion and its Hankel form. Every averaged mixing matrix of such a graph is realized by at most two observation times. Three elementary inequalities on the moment line, which also give a short proof of Chan's classification of complex Hadamard matrices in the Bose-Mesner algebra, lead to a determination of all strongly regular graphs that admit UAM. Apart from the conference graphs of nonsquare order and the graphs with instantaneous uniform mixing, these are the members of two infinite families of parameter sets and their complements, and for them we give explicit laws with two observation times. The Petersen graph and its complement are the smallest members. A strongly regular graph with UAM admits a bounded time density exactly when it has no instantaneous uniform mixing. We also correct the classification of instantaneous uniform mixing on strongly regular graphs by Godsil, Mullin and Roy. Its sign condition excludes the halved 555-cube, which mixes uniformly at time π/4π/4π/4. With the order 4θ24θ^24θ2 read literally, its parity condition also excludes the Clebsch graph and includes the parameters (36,14,4,6)(36,14,4,6)(36,14,4,6), for which no time law gives uniform average mixing.
A continuous-time quantum walk on a graph is represented by the complex matrix , where is the adjacency matrix of and is a non-negative time. If the graph models a network of interacting qubits, transfer of state among such qubits throughout time can be formalized as the action of the continuous-time quantum walk operator in the characteristic vectors of the vertices. Here, we are concerned with the problem of determining which graphs admit a perfect transfer of state. More specifically, we will study graphs whose adjacency matrix is a sum of tensor products of -matrices, focusing on the case where a graph is the tensor product of two other graphs. As a result, we will construct many new examples of perfect state transfer.
A continuous quantum walk on a graph XXX with adjacency matrix AAA is specified by the 1-parameter family of unitary matrices U(t)=exp⁡(itA)U(t)=\exp(itA)U(t)=exp(itA). These matrices act on the state space of a quantum system, the states of which we may represent by density matrices, positive semidefinite matrices with rows and columns indexed by V(X)V(X)V(X) and with trace 111. The square of the absolute values of the entries of a column of U(t)U(t)U(t) define a probability density on V(X)V(X)V(X), and it is precisely these densities that predict the outcomes of measurements. There are two special cases of physical interest: when the column density is supported on a vertex, and when it is uniform. In the first case we have perfect state transfer; in the second, uniform mixing. There are many results concerning state transfer and uniform mixing. In this paper we show that these results on perfect state transfer hold largely because at the time it occurs, the density matrix is real. We also show that the results on uniform mixing obtained so far hold because the entries of the density matrix are algebraic numbers. As a consequence of these we derive strong restrictions on the occurence of uniform mixing on bipartite graphs and on oriented graphs.