7 papers
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…
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…
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…
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 …
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…
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…