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For quantum computers to successfully solve real-world problems, it is necessary to tackle the challenge of noise: the errors which occur in elementary physical components due to unwanted or imperfect interactions.
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Baidu, (2023), “QCompute,” Baidu
2023
Closest in time.
2023
Closest in time.
Bultrini, Daniel, Max Hunter Gordon, Piotr Czarnik, Andrew Arrasmith, M. Cerezo, Patrick J. Coles, and Lukasz Cincio (2023), “Unifying and benchmarking state-of-the-art quantum error mitigation techniques,” Quantum 7
2023
Closest in time.
Cai, Zhenyu, Adam Siegel, and Simon Benjamin (2023), “Looped Pipelines Enabling Effective 3D Qubit Lattices in a Strictly 2D Device,” PRX Quantum 4
2023
Closest in time.
2023
Closest in time.
Cirstoiu, Cristina, Silas Dilkes, Daniel Mills, Seyon Sivarajah, and Ross Duncan (2023), “Volumetric Benchmarking of Error Mitigation with Qermit,” Quantum 7
2023
Closest in time.
Conlon, Lorcán O, Tobias Vogl, Christian D. Marciniak, Ivan Pogorelov, Simon K. Yung, Falk Eilenberger, Dominic W. Berry, Fabiana S. Santana, Rainer Blatt, Thomas Monz, Ping Koy Lam, and Syed M. Assad (2023), “Approaching optimal entangling collective measurements on quantum computing platforms,” Nature Physics 19
2023
Closest in time.
Google Quantum AI, (2023), “Suppressing quantum errors by scaling a surface code logical qubit,” Nature 614
2023
Closest in time.
Gu, Yanwu, Yunheng Ma, Nicolò Forcellini, and Dong E. Liu (2023), “Noise-Resilient Phase Estimation with Randomized Compiling,” Physical Review Letters 130
2023
Closest in time.
Guo, Yuchen, and Shuo Yang (2023), “Noise effects on purity and quantum entanglement in terms of physical implementability,” npj Quantum Information 9
2023
Closest in time.
Henao, Ivan, Jader P. Santos, and Raam Uzdin (2023), “Adaptive quantum error mitigation using pulse-based inverse evolutions,” npj Quantum Information 9
2023
Closest in time.
2023
Closest in time.
2023
Closest in time.
Polla, Stefano, Gian-Luca R. Anselmetti, and Thomas E. O’Brien (2023), “Optimizing the information extracted by a single qubit measurement,” Physical Review A 108
2023
Closest in time.
Qin, Dayue, Yanzhu Chen, and Ying Li (2023), “Error statistics and scalability of quantum error mitigation formulas,” npj Quantum Information 9
2023
Closest in time.
Qiskit contributors, (2023), “Qiskit: An Open-source Framework for Quantum Computing,” Zenodo
2023
Closest in time.
Seif, Alireza, Ze-Pei Cian, Sisi Zhou, Senrui Chen, and Liang Jiang (2023), “Shadow Distillation: Quantum Error Mitigation with Classical Shadows for Near-Term Quantum Processors,” PRX Quantum 4
2023
Closest in time.
Takagi, Ryuji, Hiroyasu Tajima, and Mile Gu (2023), “Universal Sampling Lower Bounds for Quantum Error Mitigation,” Physical Review Letters 131
2023
Closest in time.
2023
Closest in time.
van den Berg, Ewout, Zlatko K. Minev, Abhinav Kandala, and Kristan Temme (2023), “Probabilistic error cancellation with sparse Pauli–Lindblad models on noisy quantum processors,” Nature Physics , 1–6
2023
Closest in time.