activity
20162026
most citedInitial state preparation for quantum chemistry on quantum computers

48 citations · 65 across the 12 of their papers we have counts for

collaborators

17 papers

quant-ph2026

Scalability and performance metrics for boson sampling devices

Dong-Gil Im, Chung-Hyun Lee, Joonsuk Huh +1

Linear-optical platforms provide a promising route to demonstrate quantum computational advantage, particularly through the boson sampling problem. While a boson sampling system sh…

quant-ph2026

Oscillator-Qubit Primitives for a Molecular Quantum Dynamics Simulator

Jungsoo Hong, Joonsuk Huh

Molecular quantum dynamics simulations that treat both electrons and nuclei quantum mechanically are crucial for predicting chemical reactions. With classical computation, a full w…

quant-ph2026

Algorithmic Design of Heralded Linear Optical Circuits for Multipartite Entanglement

Jaehee Kim, Hon Wai Lau, William J. Munro +2

Heralded multipartite entanglement is a key resource for various quantum information tasks. However, designing linear optical circuits that generate specific target states is gener…

quant-ph2026

Efficient Multi-Controlled Gate Implementation in Trapped-Ion Systems

Minhyeok Kang, Taejin Kim, Jungsoo Hong +1

Multi-controlled gates are essential primitives in quantum algorithms, yet implementing them via standard gate-level decompositions remains resource-intensive. We develop efficient…

quant-ph2026

Finite Imaginary-Time Evolution for Polynomial Unconstrained Binary Optimization

Jaehee Kim, Juhyeon Kim, Gwonhak Lee +4

Imaginary-time evolution is a standard primitive for ground-state preparation but is nonunitary, precluding direct quantum implementation. We develop Finite Imaginary-Time Evolutio…

quant-ph2026

Quantum Circuit Representation of Combinatorial Matrix Functions

Minhyeok Kang, Gwonhak Lee, Youngrong Lim +1

Permanents, hafnians, and loop-hafnians are combinatorial matrix functions closely related to perfect matchings in graphs. These matrix functions arise in the quantum amplitudes of…

quant-ph2025

Heralded Linear Optical Generation of Dicke States

Minhyeok Kang, Jaehee Kim, William J. Munro +2

Entanglement is a fundamental feature of quantum mechanics and a key resource for quantum information processing. Among multipartite entangled states, Dicke states …

quant-ph2025

Jacobi-Anger Density Estimation for Energy Distribution of Quantum States

Kyeongan Park, Gwonhak Lee, Minhyeok Kang +2

The energy distribution of a quantum state is essential for accurately estimating a molecule's ground state energy in quantum computing. Directly obtaining this distribution requir…

quant-ph2025

Oscillator-qubit generalized quantum signal processing for vibronic models: a case study of uracil cation

Jungsoo Hong, Seong Ho Kim, Seung Kyu Min +1

Hybrid oscillator-qubit processors have recently demonstrated high-fidelity control of both continuous- and discrete-variable information processing. However, most of the quantum a…

quant-ph2025

Filtered Quantum Phase Estimation

Gwonhak Lee, Minhyeok Kang, Jungsoo Hong +2

Accurate state preparation is a critical bottleneck in many quantum algorithms, particularly those for ground-state energy estimation. Even in fault-tolerant quantum computing, pre…

quant-ph2025

Quadratically Shallow Quantum Circuits for Hamiltonian Functions

Youngjun Park, Minhyeok Kang, Chae-Yeun Park +1

Many quantum algorithms for ground-state preparation and energy estimation require the implementation of high-degree polynomials of a Hamiltonian to achieve better convergence rate…

quant-ph2025

Doubling Qubits in a Trapped-Ion System via Vibrational Dual-Rail Encoding

Minhyeok Kang, Wentao Chen, Hyukjoon Kwon +2

Vibrational modes of trapped ions have traditionally served as quantum buses to mediate internal qubits. However, with recent advances in quantum control, it has become possible to…

quant-ph2024★ 8 cited

Efficient Strategies for Reducing Sampling Error in Quantum Krylov Subspace Diagonalization

Gwonhak Lee, Seonghoon Choi, Joonsuk Huh +1

Within the realm of early fault-tolerant quantum computing (EFTQC), quantum Krylov subspace diagonalization (QKSD) has emerged as a promising quantum algorithm for the approximate…

quant-ph2024★ 3 cited

Hardware-efficient ansatz without barren plateaus in any depth

Chae-Yeun Park, Minhyeok Kang, Joonsuk Huh

Variational quantum circuits have recently gained much interest due to their relevance in real-world applications, such as combinatorial optimizations, quantum simulations, and mod…

quant-ph2023★ 1 cited

The hardness of quantum spin dynamics

Chae-Yeun Park, Pablo A. M. Casares, Juan Miguel Arrazola +1

Recent experiments demonstrated quantum computational advantage in random circuit sampling and Gaussian boson sampling. However, it is unclear whether these experiments can lead to…

quant-ph2023★ 48 cited

Initial state preparation for quantum chemistry on quantum computers

Stepan Fomichev, Kasra Hejazi, Modjtaba Shokrian Zini +8

Quantum algorithms for ground-state energy estimation of chemical systems require a high-quality initial state. However, initial state preparation is commonly either neglected enti…

quant-ph2016★ 5 cited

Universal Bound on Sampling Bosons in Linear Optics

Man-Hong Yung, Xun Gao, Joonsuk Huh

In linear optics, photons are scattered in a network through passive optical elements including beamsplitters and phase shifters, leading to many intriguing applications in physics…