activity
20172026
most citedTight Bounds for Quantum Phase Estimation and Related Problems

6 citations · 24 across the 17 of their papers we have counts for

collaborators

29 papers

quant-ph2026

Optimal Quantum-Classical Separations for Exact Learning

Srinivasan Arunachalam, Amin Shiraz Gilani, Nikhil S. Mande

We study exact learning with membership queries for concept classes , focusing on the relationships among their deterministic, randomized, and quantum…

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…

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…

cs.CC2025

Hardness of Finding Kings and Strong Kings

Ziad Ismaili Alaoui, Nikhil S. Mande

A king in a directed graph is a vertex such that every other vertex is reachable from via a path of length at most . It is well known that every tournament (a complete g…

cs.CC2024

Query Complexity with Unknowns

Nikhil S. Mande, Karteek Sreenivasaiah

We initiate the study of a new model of query complexity of Boolean functions where, in addition to 0 and 1, the oracle can answer queries with ``unknown''. The query algorithm is…

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…

cs.CC2024

On the communication complexity of finding a king in a tournament

Nikhil S. Mande, Manaswi Paraashar, Swagato Sanyal +1

A tournament is a complete directed graph. A king in a tournament is a vertex v such that every other vertex is reachable from v via a path of length at most 2. It is well known th…

quant-ph2024★ 1 cited

Lower bounds for quantum-inspired classical algorithms via communication complexity

Nikhil S. Mande, Changpeng Shao

Quantum-inspired classical algorithms provide us with a new way to understand the computational power of quantum computers for practically-relevant problems, especially in machine…

cs.CC2023

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…

cs.CC2023

Randomized and quantum query complexities of finding a king in a tournament

Nikhil S. Mande, Manaswi Paraashar, Nitin Saurabh

A tournament is a complete directed graph. It is well known that every tournament contains at least one vertex v such that every other vertex is reachable from v by a path of lengt…

cs.GT2023

Solving Odd-Fair Parity Games

Irmak Sağlam, Anne-Kathrin Schmuck

This paper discusses the problem of efficiently solving parity games where player Odd has to obey an additional 'strong transition fairness constraint' on its vertices -- given tha…

quant-ph2023★ 6 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 ,…

cs.CC2022★ 2 cited

Lifting to Parity Decision Trees Via Stifling

Arkadev Chattopadhyay, Nikhil S. Mande, Swagato Sanyal +1

We show that the deterministic decision tree complexity of a (partial) function or relation lifts to the deterministic parity decision tree (PDT) size complexity of the compose…

quant-ph2022

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-ph2021★ 2 cited

Exact quantum query complexity of computing Hamming weight modulo powers of two and three

Arjan Cornelissen, Nikhil S. Mande, Maris Ozols +1

We study the problem of computing the Hamming weight of an -bit string modulo , for any positive integer whose only prime factors are 2 and 3. We show that the exa…

quant-ph2021

Tight Bounds for the Randomized and Quantum Communication Complexities of Equality with Small Error

Olivier Lalonde, Nikhil S. Mande, Ronald de Wolf

We investigate the randomized and quantum communication complexities of the well-studied Equality function with small error probability , getting optimal constant factors in the…

cs.CC2021

One-way communication complexity and non-adaptive decision trees

Nikhil S. Mande, Swagato Sanyal, Suhail Sherif

We study the relationship between various one-way communication complexity measures of a composed function with the analogous decision tree complexity of the outer function. We con…

quant-ph2020★ 2 cited

The Role of Symmetry in Quantum Query-to-Communication Simulation

Sourav Chakraborty, Arkadev Chattopadhyay, Peter Høyer +3

Buhrman, Cleve and Wigderson (STOC'98) showed that for every Boolean function f : {-1,1}^n to {-1,1} and G in {AND_2, XOR_2}, the bounded-error quantum communication complexity of…

cs.CC2020

Tight Chang's-lemma-type bounds for Boolean functions

Sourav Chakraborty, Nikhil S. Mande, Rajat Mittal +3

Chang's lemma (Duke Mathematical Journal, 2002) is a classical result with applications across several areas in mathematics and computer science. For a Boolean function that ta…

cs.CC2020

On parity decision trees for Fourier-sparse Boolean functions

Nikhil S. Mande, Swagato Sanyal

We study parity decision trees for Boolean functions. The motivation of our study is the log-rank conjecture for XOR functions and its connection to Fourier analysis and parity dec…

quant-ph2020★ 3 cited

Improved Approximate Degree Bounds For k-distinctness

Nikhil S. Mande, Justin Thaler, Shuchen Zhu

An open problem that is widely regarded as one of the most important in quantum query complexity is to resolve the quantum query complexity of the k-distinctness function on inputs…

quant-ph2019

Quantum Query-to-Communication Simulation Needs a Logarithmic Overhead

Sourav Chakraborty, Arkadev Chattopadhyay, Nikhil S. Mande +1

Buhrman, Cleve and Wigderson (STOC'98) observed that for every Boolean function and the two-party bounded-erro…