papers

Publications (18)

quant-ph2015

Oracles with Costs

Shelby Kimmel, Cedric Yen-Yu Lin, Han-Hsuan Lin

While powerful tools have been developed to analyze quantum query complexity, there are still many natural problems that do not fit neatly into the black box model of oracles. We c…

quant-ph2023

A sublinear time quantum algorithm for longest common substring problem between run-length encoded strings

Tzu-Ching Lee, Han-Hsuan Lin

We give a sublinear quantum algorithm for the longest common substring (LCS) problem on the run-length encoded (RLE) inputs, under the assumption that the prefix-sums of the runs a…

quant-ph2021

Constant-round Blind Classical Verification of Quantum Sampling

Kai-Min Chung, Yi Lee, Han-Hsuan Lin +1

In a recent breakthrough, Mahadev constructed a classical verification of quantum computation (CVQC) protocol for a classical client to delegate decision problems in BQP to an untr…

quant-ph2025

Getting almost all the bits from a quantum random access code

Han-Hsuan Lin, Ronald de Wolf

A quantum random access code (QRAC) is a map that encodes -bit strings into -qubit quantum states , in a way that allows us to recover any one bit of…

quant-ph2025

Optimizing sparse quantum state preparation with measurement and feedforward

Yao-Cheng Lu, Han-Hsuan Lin

Quantum state preparation (QSP) is a key component in many quantum algorithms. In particular, the problem of sparse QSP (SQSP) $\unicode{x2013}$ the task of preparing the states wi…

quant-ph2021

Sample Efficient Algorithms for Learning Quantum Channels in PAC Model and the Approximate State Discrimination Problem

Kai-Min Chung, Han-Hsuan Lin

We generalize the PAC (probably approximately correct) learning model to the quantum world by generalizing the concepts from classical functions to quantum processes, defining the…

cond-mat.str-el2008

Permutation Symmetric Critical Phases in Disordered Non-Abelian Anyonic Chains

Lukasz Fidkowski, Gil Refael, Han-Hsuan Lin +1

Topological phases supporting non-abelian anyonic excitations have been proposed as candidates for topological quantum computation. In this paper, we study disordered non-abelian a…

cs.DS2018

Quantum-inspired sublinear classical algorithms for solving low-rank linear systems

Nai-Hui Chia, Han-Hsuan Lin, Chunhao Wang

We present classical sublinear-time algorithms for solving low-rank linear systems of equations. Our algorithms are inspired by the HHL quantum algorithm for solving linear systems…

quant-ph2014

Different Strategies for Optimization Using the Quantum Adiabatic Algorithm

Elizabeth Crosson, Edward Farhi, Cedric Yen-Yu Lin +2

We present the results of a numerical study, with 20 qubits, of the performance of the Quantum Adiabatic Algorithm on randomly generated instances of MAX 2-SAT with a unique assign…

cs.DS2023

Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning

Nai-Hui Chia, András Gilyén, Tongyang Li +3

We present an algorithmic framework for quantum-inspired classical algorithms on close-to-low-rank matrices, generalizing the series of results started by Tang's breakthrough quant…

quant-ph2014

Upper bounds on quantum query complexity inspired by the Elitzur-Vaidman bomb tester

Cedric Yen-Yu Lin, Han-Hsuan Lin

Inspired by the Elitzur-Vaidman bomb testing problem [arXiv:hep-th/9305002], we introduce a new query complexity model, which we call bomb query complexity . We investigate i…

quant-ph2023

On the Impossibility of General Parallel Fast-forwarding of Hamiltonian Simulation

Nai-Hui Chia, Kai-Min Chung, Yao-Ching Hsieh +3

Hamiltonian simulation is one of the most important problems in the field of quantum computing. There have been extended efforts on designing algorithms for faster simulation, and…

cs.DS2020

Quantum-inspired sublinear algorithm for solving low-rank semidefinite programming

Nai-Hui Chia, Tongyang Li, Han-Hsuan Lin +1

Semidefinite programming (SDP) is a central topic in mathematical optimization with extensive studies on its efficient solvers. In this paper, we present a proof-of-principle subli…

quant-ph2018

A Quantum-Proof Non-Malleable Extractor, With Application to Privacy Amplification against Active Quantum Adversaries

Divesh Aggarwal, Kai-Min Chung, Han-Hsuan Lin +1

In privacy amplification, two mutually trusted parties aim to amplify the secrecy of an initial shared secret in order to establish a shared private key by exchanging messa…

cs.CC2023

On relating one-way classical and quantum communication complexities

Naresh Goud Boddu, Rahul Jain, Han-Hsuan Lin

Communication complexity is the amount of communication needed to compute a function when the function inputs are distributed over multiple parties. In its simplest form, one-way c…

quant-ph2024

Near-Optimal Quantum Algorithm for Finding the Longest Common Substring between Run-Length Encoded Strings

Tzu-Ching Lee, Han-Hsuan Lin

We give a near-optimal quantum algorithm for the longest common substring (LCS) problem between two run-length encoded (RLE) strings, with the assumption that the prefix-sums of th…

quant-ph2020

On the Quantum Complexity of Closest Pair and Related Problems

Scott Aaronson, Nai-Hui Chia, Han-Hsuan Lin +2

The closest pair problem is a fundamental problem of computational geometry: given a set of points in a -dimensional space, find a pair with the smallest distance. A classic…

quant-ph2024

Efficient learning of -doped stabilizer states with single-copy measurements

Nai-Hui Chia, Ching-Yi Lai, Han-Hsuan Lin

One of the primary objectives in the field of quantum state learning is to develop algorithms that are time-efficient for learning states generated from quantum circuits. Earlier i…