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20222026
most citedSurrogate Neural Network Model for Sensitivity Analysis and Uncertainty Quantification of the Mechanical Behavior in the Optical Lens-Barrel Assembly

21 citations

8 papers

quant-ph2026

Trading symmetry for Hilbert-space dimension in Bell-inequality violation

Hsin-Yu Hsu, Gelo Noel M. Tabia, Kai-Siang Chen +4

In quantum information, asymmetry, i.e., the lack of symmetry, is a resource allowing one to accomplish certain tasks that are otherwise impossible. Similarly, in a Bell test using…

quant-ph2025

Classical simulation of noisy quantum circuits via locally entanglement-optimal unravelings

Simon Cichy, Paul K. Faehrmann, Lennart Bittel +2

Classical simulations of noisy quantum circuits are instrumental to our understanding of the behavior of real-world quantum systems and the identification of regimes where one expe…

quant-ph2024★ 4 cited

Experimental single-copy distillation of quantumness from higher-dimensional entanglement

Xiao-Xu Fang, Gelo Noel M. Tabia, Kai-Siang Chen +2

Entanglement is at the heart of quantum theory and is responsible for various quantum-enabling technologies. In practice, during its preparation, storage, and distribution to the i…

quant-ph2024★ 2 cited

Unconditionally separating noisy from bounded polynomial threshold circuits of constant depth

Min-Hsiu Hsieh, Leandro Mendes, Michael de Oliveira +1

The rapid evolution of quantum devices fuels concerted efforts to experimentally establish quantum advantage over classical computing. Many demonstrations of quantum advantage, how…

quant-ph2023★ 2 cited

Optimal Particle-Conserved Linear Encoding for Practical Fermionic Simulation

M. H. Cheng, Yu-Cheng Chen, Qian Wang +4

Number-conserved subspace encoding reduces resources needed for quantum simulations, but scalable complexity trade-off bounds for modes and particles with $\mathcal{O}(N\lo…

cs.LG2023★ 8 cited

Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems

Robert J. Moss, Mykel J. Kochenderfer, Maxime Gariel +1

Estimating the probability of failure is an important step in the certification of safety-critical systems. Efficient estimation methods are often needed due to the challenges pose…

quant-ph2022★ 13 cited

Doubling the order of approximation via the randomized product formula

Chien Hung Cho, Dominic W. Berry, Min-Hsiu Hsieh

Randomization has been applied to Hamiltonian simulation in a number of ways to improve the accuracy or efficiency of product formulas. Deterministic product formulas are often con…

cs.CE2022★ 21 cited

Surrogate Neural Network Model for Sensitivity Analysis and Uncertainty Quantification of the Mechanical Behavior in the Optical Lens-Barrel Assembly

Shantanu Shahane, Erman Guleryuz, Diab W Abueidda +7

Surrogate neural network-based models have been lately trained and used in a variety of science and engineering applications where the number of evaluations of a target function is…