most citedQuantum algorithms through graph composition

1 citations · 1 across the 3 of their papers we have counts for

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quant-ph2026

Quantum algorithms for path and cycle containment problems

Arjan Cornelissen, Amin Shiraz Gilani, Subhasree Patro

The quantum query complexity of subgraph-containment problems, which ask whether a given subgraph is present in an input graph , has been the subject of considerable study.…

quant-ph20261 cited

Quantum algorithms through graph composition

Arjan Cornelissen

In this work, we unify several quantum algorithmic frameworks for boolean functions that are based on the quantum adversary bound. First, we show that the -connectivity framewo…

quant-ph2025

Quantum Search With Generalized Wildcards

Arjan Cornelissen, Nikhil S. Mande, Subhasree Patro +2

In the search with wildcards problem [Ambainis, Montanaro, Quantum Inf.~Comput.'14], one's goal is to learn an unknown bit-string . An algorithm may, at unit cost…

quant-ph2025

Randomized and quantum approximate matrix multiplication

Simon Apers, Arjan Cornelissen, Samson Wang

The complexity of matrix multiplication is a central topic in computer science. While the focus has traditionally been on exact algorithms, a long line of literature also considers…

quant-ph2025

Quantum walks through generalized graph composition

Arjan Cornelissen

In this work, we generalize the recently-introduced graph composition framework to the non-boolean setting. A quantum algorithm in this framework is represented by a hypergraph, wh…

quant-ph2025

Improved Quantum Query Upper Bounds Based on Classical Decision Trees

Arjan Cornelissen, Nikhil S. Mande, Subhasree Patro

Given a classical query algorithm as a decision tree, when does there exist a quantum query algorithm with a speed-up over the classical one? We provide a general construction base…