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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-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

Fine-Grained Complexity via Quantum Natural Proofs

Yanlin Chen, Yilei Chen, Rajendra Kumar +2

Buhrman, Patro, and Speelman presented a framework of conjectures that together form a quantum analogue of the strong exponential-time hypothesis and its variants. They called it t…

quant-ph2025

QSETH strikes again: finer quantum lower bounds for lattice problem, strong simulation, hitting set problem, and more

Yanlin Chen, Yilei Chen, Rajendra Kumar +2

While seemingly undesirable, it is not a surprising fact that there are certain problems for which quantum computers offer no computational advantage over their respective classica…

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…

quant-ph2024

Quantum Sabotage Complexity

Arjan Cornelissen, Nikhil S. Mande, Subhasree Patro

Given a Boolean function , the goal in the usual query model is to compute on an unknown input while minimizing the number of queries t…