activity
20242026
most citedTight Bounds for Quantum Phase Estimation and Related Problems

5 citations · 5 across the 3 of their papers we have counts for

collaborators

10 papers

cs.CC2026

Subcube Stifling

Arjan Cornelissen, Nikhil S. Mande, Nithish Raja

We introduce the subcube stifling number, a new combinatorial measure of total Boolean functions. This measure is the largest integer such that, for every set of at most $k…

cs.CC2026

Instance complexity of Boolean functions

Alison Hsiang-Hsuan Liu, Nikhil S. Mande

In the area of query complexity of Boolean functions, the most widely studied cost measure of an algorithm is the worst-case number of queries made by it on an input. Motivated by…

quant-ph20265 cited

Tight Bounds for Quantum Phase Estimation and Related Problems

Nikhil S. Mande, Ronald de Wolf

Phase estimation, due to Kitaev [arXiv'95], is one of the most fundamental subroutines in quantum computing. In the basic scenario, one is given black-box access to a unitary ,…

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…

cs.CC2025

Complexity of learning matchings and half graphs via edge queries

Nikhil S. Mande, Swagato Sanyal, Viktor Zamaraev

The problem of learning or reconstructing an unknown graph from a known family via partial-information queries arises as a mathematical model in various contexts. The most basic ty…

cs.CC2025

Sensitivity and Query Complexity under Uncertainty

Deepu Benson, Balagopal Komarath, Nikhil Mande +3

In this paper, we study the query complexity of Boolean functions in the presence of uncertainty, motivated by parallel computation with an unlimited number of processors where inp…