Run-length certificates in quantum learning: Sample complexity and noise thresholds
Physical Review A 113, 062601
PUBLICATIONS & PREPRINTS
A record of
questions explored.
Explore our work across quantum information science, computing, learning, communication, and sensing.
Journal articles are grouped by publication year; preprints by their first posting year. Linked revisions are identified alongside the original work.
Published articles
29 works2026
Witness wedges in fidelity-deviation plane: Separating teleportation advantage and Bell-inequality violation
Physical Review A 113, 052458
Fundamental limits to contrast reversal of survival probability correlations
Physica Scripta 101, 185102
Entangling power and its deviation: A quantitative analysis on input-state dependence and variability in entanglement generation
Physical Review A 113, 012442
2025
Ensuring superior learning outcomes and data security for authorized learner
Quantum Science and Technology 10, 025056
2024
Quantum superposing algorithm for quantum encoding
Physica Scripta 99, 115110
2023
T-depth-optimized quantum search with quantum data-access machine
Quantum Science and Technology 9, 015011
2022
Polynomial T-depth quantum solvability of noisy binary linear problem: from quantum-sample preparation to main computation
New Journal of Physics 24, 103014
Quantum solvability of noisy linear problems by divide-and-conquer strategy
Quantum Science and Technology 7, 025009
2021
Tangible reduction in learning sample complexity with large classical samples and small quantum system
Quantum Information Processing 20, 275
Quantum State Learning via Single-Shot Measurements
Physical Review Letters 126, 170504
Quantum secure learning with classical samples
Physical Review A 103, 042409
Average fidelity and fidelity deviation in noisy quantum teleportation
Journal of the Korean Physical Society 78, 496-503
2019
Two-particle indistinguishability and identification of boson and fermion species: a Fisher information approach
Quantum Information Processing 18, 263
Experimental Demonstration on Quantum Sensitivity to Available Information in Decision Making
Scientific Reports 9, 681
Optimal usage of quantum random access memory in quantum machine learning
Physical Review A 99, 012326
Experimental demonstration of quantum learning speedup with classical input data
Physical Review A 99, 012313
2018
Learning unknown pure quantum states
Physical Review A 98, 052302
Fidelity deviation in quantum teleportation
Journal of Physics A: Mathematical and Theoretical 51, 135302
2016
Quantum macroscopicity measure for arbitrary spin systems and its application to quantum phase transitions
Physical Review A 94, 052105
Quantum-mechanical machinery for rational decision-making in classical guessing game
Scientific Reports 6, 21424
2015
Protocol for secure quantum machine learning at a distant place
Quantum Information Processing 14, 3933-3947
2014
A genetic-algorithm-based method to find unitary transformations for any desired quantum computation and application to a one-bit oracle decision problem
Journal of the Korean Physical Society 65, 2001-2008
A quantum speedup in machine learning: finding an N-bit Boolean function for a classification
New Journal of Physics 16, 103014
A quantum algorithm for obtaining the lowest eigenstate of a Hamiltonian assisted with an ancillary qubit system
Quantum Information Processing 14, 103-118
A strategy for quantum algorithm design assisted by machine learning
New Journal of Physics 16, 073017
Inseparability criterion using higher-order Schrödinger–Robertson uncertainty relation
Journal of the Optical Society of America B 31, 656
2012
Procedures for realizing an approximate universal-not gate
Physical Review A 86, 062317
A quantum heuristic algorithm for the traveling salesman problem
Journal of the Korean Physical Society 61, 1944-1949
Preprints
32 works2026
Passive Pauli Toggling of Polarization Qubits in Optical Fibers: Error Bounds and QKD Performance
arXiv:2609.21373
Hayden--Preskill recovery at finite temperature on a quantum processor: dynamics and initial state from the SYK model
arXiv:2607.28486
Phase-Flag Access and No-Go Constraints on Quotient-Space Real Quantum Mechanics
arXiv:2609.20226
Coherence-generating power deviation: Fluctuations and input selectivity beyond average coherence generation
arXiv:2609.19046
Exact No Signaling in Time without Temporal Classicality
arXiv:2607.14583
Hidden Complex Structure in Quotient-Space Real Quantum Mechanics
arXiv:2607.05865
Breaking the One-Dimensional Expressibility-Trainability Tradeoff
arXiv:2607.04598
No Reference-Free Generalization in Quantum Machine Learning
arXiv:2606.22331
First-Quantized Relativistic Quantum Simulation with Periodic and Dirichlet Boundary Conditions
arXiv:2606.21794
Quantum Occam Learning: Sample-Supported Expressibility for Circuit-Based Quantum Learning
arXiv:2606.12211
Learning with Active Quantum Subspaces: Scalable Hybrid Advantage without Full Quantum Data-Encoding
arXiv:2606.00932
Causal Fisher-Information Inequalities: Classical Causal Model Falsification and Metrological Advantage
arXiv:2605.19198
Neural Information Causality
arXiv:2605.09316
Finite Imaginary-Time Evolution for Polynomial Unconstrained Binary Optimization
arXiv:2604.27482
Universality cost of non-Gaussian enhancement in continuous-variable quantum teleportation: A fidelity--deviation trade-off
arXiv:2604.20103
Single-shot measurement learning as a self-certifying estimator for quantum-enhanced sensing
arXiv:2604.01534
Sharpening Worst-Case Error Assessment for Fault-Tolerant Quantum Computing: Fidelity and Its Deviation
arXiv:2603.07495
Physics-Aware Learnability: From Set-Theoretic Independence to Operational Constraints
arXiv:2603.00417
A rigorous hybridization of variational quantum eigensolver with classical neural network
arXiv:2602.17295
Quantum Interference Needs Convention: Overlap-Determinability and Unified No-Superposition Principle
arXiv:2601.14638
Learning at the Edge of Causality: Optimal Learning-Sample Complexity from No-Signaling Constraints
arXiv:2601.12651
2025
Quantum Amplitude-Amplification Eigensolver: A State-Learning-Assisted Approach beyond Energy-Gradient-Based Heuristics
arXiv:2511.12062
Secure PAC Learning: Sample-Budget Laws and Quantum Data-Path Admissibility
arXiv:2511.02479
Relativistic Quantum Simulation under Periodic and Dirichlet Boundary Conditions: A First-Quantised Framework for Near-Term Devices
arXiv:2509.22579
Subspace Variational Quantum Simulation: Fidelity Lower Bounds as Measures of Training Success
arXiv:2509.06360
2024
Quantum Simulation of Dynamical Transition Rates in Open Quantum Systems
arXiv:2412.17229
Resource-compact time-optimal quantum computation
arXiv:2405.00191
2023
2017
2016
2014
2008
Quantum Learning Machine
arXiv:0803.2976
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