3 citations · 3 across the 6 of their papers we have counts for
7 papers · 1 filter
Fast Random Compilers for Time-Dependent and Time-Independent Lindbladian Simulation
Youngjin Seo, Dhrumil Patel, Hyukjoon Kwon +1
Randomized product formulas provide simple and flexible methods for quantum simulation. While qDRIFT-type randomized simulation has been extended to Lindbladian dynamics, higher-or…
Efficient expectation value estimation for quantum circuits via extended stabilizer frameworks and adaptive variance estimation
Yunseo Hwang, Giwon Song, Kyoung Keun Park +2
Classical simulability of quantum circuits plays a central role in characterizing and quantifying quantum computational advantage. Typically, the presence of non-Clifford gates int…
Code-agnostic bosonic noise suppression with hybrid rotations
Saurabh U. Shringarpure, Siheon Park, Sungjoo Cho +4
Physical-level noise on traveling bosonic modes remains a critical bottleneck for scalable quantum information processing. We show that for any single-mode bosonic code (qumode) co…
On the Entanglement Entropy Distribution of a Hybrid Quantum Circuit
Jeonghyeok Park, Hyukjoon Kwon, Hyunseok Jeong
We investigate the distribution of entanglement entropy in hybrid quantum circuits consisting of random unitary gates and local measurements applied at a finite rate. We demonstrat…
No-Go Theorem for Norm-Based Nonclassicality Certification with Linear Functionals
Soumyakanti Bose, Yong-Siah Teo, Hyukjoon Kwon +1
Despite various approaches to encode nonclassical light, most existing formulations either suffer from limited practicality or rely on optimization procedures that are computationa…
Ballistic bosonic noise suppression with hybrid qumode-qubit rotation gates
Saurabh U. Shringarpure, Siheon Park, Sungjoo Cho +4
Noise suppression is of paramount importance for reliable quantum information processing and computation. We show that for any single-mode bosonic code (qumode) corrupted by therma…
Sample-based Hamiltonian and Lindbladian simulation: Non-asymptotic analysis of sample complexity
Byeongseon Go, Hyukjoon Kwon, Siheon Park +2
Density matrix exponentiation (DME) is a quantum algorithm that processes multiple copies of a program state to realize the Hamiltonian evolution . Wave matrix Lindb…