1 citations · 1 across the 21 of their papers we have counts for
22 papers
Collision-aware Bayesian mitigation of photon loss in linear optical quantum circuits
Seungwoo Kim, Seunghyun Ahn, Donguk Nam +2
Photon loss is the dominant noise source in linear optical quantum circuits. Each lost photon turns an ideal n-photon outcome into a pattern with fewer photons, so the detector cou…
Every architecture of six two-qubit gates is locally universal on three qubits
Hyunho Cha, Jungwoo Lee
We present the \emph{first} analytical determination of the exact accessible dimension for every fixed architecture of arbitrary two-qubit gates on three qubits. A support word rep…
Disjoint Bell measurements enable near-projective GHZ certification
Hyunho Cha, Jungwoo Lee
Certifying multipartite entangled states is a basic task in quantum information processing, but the achievable copy complexity depends crucially on the measurements available to th…
Counting anticommuting Pauli pairs in linear time
Hyunho Cha, Jungwoo Lee
Many quantum computing workflows manipulate long lists of Pauli strings. A basic classical subroutine involves taking Pauli strings on qubits, each of weight bounded by a c…
End-to-End Neural and Quantum Transcoding for Compressed Latent Representation under Channel Noise
Hyunho Cha, Wonjung Kim, Jungwoo Lee
Recent advancements in quantum computing highlight the need for efficient encoding of classical data into quantum states to ensure robust quantum information processing. Traditiona…
Spectral Minimax Direct Fidelity Estimation for Generic Target States
Hyunho Cha, Jungwoo Lee
Direct fidelity estimation benefits from tailoring measurements to a fixed target, but the operator-aware shadow importance sampling (OASIS) method optimizes an outcome-wise linear…
Toward the Goldilocks Blind Compression of Quantum States
Hyunho Cha, Chae-Yeun Park, Jungwoo Lee
Quantum autoencoders (QAEs) are learning architectures that compress quantum data into a low-dimensional latent state while preserving the information needed for reconstruction. We…
Online Estimation of Partial Transpose Moments via Fast Classical Updates
Hyunho Cha, Jungwoo Lee
Partial-transpose (PT) moments are among the most practically relevant nonlinear quantities accessible from local Pauli classical shadows, because they directly underpin mixed-stat…
Verifying random matrix product states with autoregressive local measurements
Hyunho Cha, Subin Kim, Jungwoo Lee
Matrix product states (MPS) are a central language for one-dimensional quantum matter and a practical target for near-term quantum simulators and variational algorithms. Yet, while…
Optimal dense materialization of the stabilizer formalism without polynomial overhead
Hyunho Cha, Jungwoo Lee
Stabilizer states and Clifford transformations constitute the tractable backbone of quantum information science, from error correction and fault tolerance to benchmarking and simul…
Non-existence of stabilizer absolutely maximally entangled states across infinitely many configurations
Hyunho Cha
We prove a general reduction theorem for stabilizer absolutely maximally entangled states in composite local dimension. If a stabilizer state exists and $D=\pro…
QFlowNet: Fast, Diverse, and Efficient Unitary Synthesis with Generative Flow Networks
Inhoe Koo, Hyunho Cha, Jungwoo Lee
Unitary Synthesis, the decomposition of a unitary matrix into a sequence of quantum gates, is a fundamental challenge in quantum compilation. Prevailing reinforcement learning (RL)…
One-parameter counterexamples to the refined Bessis-Moussa-Villani conjecture
Hyunho Cha, Jungwoo Lee
Positivity of matrix trace exponentials is a basic structural principle behind finite-temperature quantum statistical mechanics. The Bessis-Moussa-Villani conjecture, a central man…
Exactness of the doubly nonnegative relaxation for qubit-output quantum channels
Hyunho Cha, Jungwoo Lee
The resource theory for nonnegativity of quantum amplitudes distinguishes completely positive completely positive (CPCP) quantum channels from the larger class of completely positi…
Refining transposition bounds from traceless quantum perturbations
Hyunho Cha, Jungwoo Lee
The transpose map is the canonical nonphysical map in quantum information that is central to entanglement tests and to converse bounds for quantum capacity. It is a longstanding co…
Operator-aware shadow importance sampling for accurate fidelity estimation
Hyunho Cha, Sangwoo Hong, Jungwoo Lee
Estimating the fidelity between an unknown quantum state and a fixed target is a fundamental task in quantum information science. Direct fidelity estimation (DFE) enables this with…
Scalable bayesian shadow tomography for quantum property estimation with set transformers
Hyunho Cha, Wonjung Kim, Jungwoo Lee
A scalable Bayesian machine learning framework is introduced for estimating scalar properties of an unknown quantum state from measurement data, which bypasses full density matrix…
Re-uploading quantum data: a universal function approximator for quantum inputs
Hyunho Cha, Daniel K. Park, Jungwoo Lee
Quantum data re-uploading has proved powerful for classical inputs, where repeatedly encoding features into a small circuit yields universal function approximation. Extending this…
Structural perspectives from quantum states and measurements in optimal state discrimination
Hyunho Cha, Jungwoo Lee
Quantum state discrimination refers to a class of techniques to identify a specific quantum state through a \textit{positive operator-valued measure}. In this work, we investigate…
Binary integer programming for optimizing ebit cost in distributed quantum circuits with fixed module allocation
Hyunho Cha, Jungwoo Lee
Modular and networked quantum architectures can scale beyond the qubit count of a single device, but executing a circuit across modules requires implementing non-local two-qubit ga…
Towards Optimizing the Expected Performance of Sampling-Based Quantum-Inspired Algorithms
Hyunho Cha, Jungwoo Lee
Quantum-inspired classical algorithms has received much attention due to its exponential speedup compared to existing algorithms, under certain data storage assumptions. The improv…
Efficient sampling for Pauli-measurement-based shadow tomography in direct fidelity estimation
Hyunho Cha, Jungwoo Lee
A constant number of random Clifford measurements allows the classical shadow protocol to perform direct fidelity estimation (DFE) with high precision. However, estimating properti…