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Papers matching “error probability” 19

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Quantum Error Correction and $Z(2)$ Lattice Gauge Theories
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Seyong Kim

0

citations
Machine Learning Optimal Quantum Error Correction Thresholds
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip, Luis Colmenárez, Markus Schmitt, Markus Müller

0

citations
Machine Learning Optimal Quantum Error Correction Thresholds
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip, Luis Colmenárez, Markus Schmitt, Markus Müller

0

citations
Syndrome resampling enhances quantum error correction thresholds
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Luis Colmenárez, Áron Márton, Markus Franziskus Müller

0

citations
Large-Scale Simulation of Shor's Quantum Factoring Algorithm
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dennis Willsch, Madita Willsch, Fengping Jin, Hans A. De Raedt, Kristel F. L. Michielsen

1

citations
Efficient Sparsification of Simplicial Complexes via Local Densities of States
2025 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Anton Savostianov, Michael T. Schaub, Nicola Guglielmi, Francesco Tudisco

0

citations
Optimal Fusion Strategies for Quantum Computation
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Kenneth Goodenough, Andrew Landahl, Joon Lee, Antonio Russo, Kevin Thompson

0

citations
Preference-Based Reward Learning under Partial Observability with Inexact Dynamics
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Reza Zolnouri, Semih Çaycı

0

citations
On Sampling-Based Training Criteria for Neural Language Modeling
2021 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Yingbo Gao, David Thulke, Alexander Gerstenberger, Ralf Schlüter, Hermann Ney

0

citations
Does Joint Training Really Help Cascaded Speech Translation?
2022 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Viet Anh Tran, David Thulke, Yingbo Gao, Christian Herold, Hermann Ney

0

citations
PA-PUF: A Novel Priority Arbiter PUF
2022 arXiv (Cornell University) preprint Computer Science Physical Unclonable Functions (PUFs) and Hardware Security Open access

Simranjeet Singh, Srinivasu Bodapati, Sachin Patkar, Rainer Leupers, Anupam Chattopadhyay, Farhad Merchant

0

citations
Self-Normalized Importance Sampling for Neural Language Modeling
2021 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Zijian Yang, Yingbo Gao, Alexander Gerstenberger, Jintao Jiang, Ralf Schlüter, Hermann Ney

0

citations
Noise tolerance via reinforcement in the quantum search problem
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Marjan Homayouni-Sangari, Abolfazl Ramezanpour

0

citations
Generative Semantic Segmentation via an Observable Semantic-Image Interface and Hierarchical Generator Evidence Alignment
2026 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Weize Cai, Yongqi Dong, Zhida Shao, Zixin Fu

0

citations
Real-time simulations of transmon systems with time-dependent Hamiltonian models
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Hannes Lagemann

0

citations
Fault-Tolerant Code Switching Protocols for Near-Term Quantum Processors
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Friederike Butt, Sascha Heußen, Manuel Rispler

0

citations
PS-AAS: Portfolio Selection for Automated Algorithm Selection in Black-Box Optimization
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Ana Kostovska, Gjorgjina Cenikj, Diederick Vermetten, Anja Jankovič, Ana Nikolikj, Urban Škvorc, +3 more

1

citations
Differentiable Structure Learning for Cyclic Linear Gaussian Models with Latent Confounders
2026 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Sadegh Khorasani, Ali Najar, Saber Salehkaleybar, Negar Kiyavash

0

citations
Optimal Local Convergence Rates of Stochastic First-Order Methods under Local $α$-PL
2024 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Saeed Masiha, Saber Salehkaleybar, Niao He, Negar Kiyavash, Patrick Thiran

0

citations

19 results