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- Kevin C. Zatloukal, Nicholas J. A. Harvey
- SODA
- 2004

We consider the problem of storing an ordered dictionary data structure over a distributed set of nodes. In contrast to traditional sequential data structures, distributed data structures should ideally have low congestion. We present a novel randomized data structure, called a <i>family tree</i>, to solve this problem. A family tree has optimal expected… (More)

- Kevin C. Zatloukal, Mary Holland Johnson, Richard E. Ladner
- Data Structures, Near Neighbor Searches, and…
- 1999

We propose the post-order heap, a new data structure for implementing priority queues. Our structure is a simple variant of the binary heap that requires only Θ(1) amortized time for Insert operations and O(log n) time in the worst case for Delete-Min operations. Like the binary heap, the post-order heap is an implicit data structure, meaning that a… (More)

- Kevin C. Zatloukal
- TQC
- 2013

While efficient algorithms are known for solving many important problems related to groups, no efficient algorithm is known for determining whether two arbitrary groups are isomorphic. The particular case of 2-nilpotent groups, a special type of central extension, is widely believed to contain the essential hard cases. However, looking specifically at… (More)

- Kevin C. Zatloukal, David R. Karger, Arthur C. Smith, Margaret Zatloukal
- 2006

- Juan Bermejo-Vega, Kevin C. Zatloukal
- ArXiv
- 2015

Motivated by a connection, described here for the first time, between the hidden normal subgroup problem (HNSP) and abelian hypergroups (algebraic objects that model collisions of physical particles), we develop a stabilizer formalism using abelian hypergroups and an associated classical simulation theorem (a la Gottesman-Knill). Using these tools, we… (More)

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