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M08.00001: Error-resilient Tensor Network-based Ansatz for a Noisy Quantum Computer
Unpil Baek, William Huggins, Birgitta K Whaley
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M08.00002: Machine learning of noise-resilient quantum circuits
Lukasz Cincio, Patrick J Coles
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M08.00003: Noise-Resilient Quantum Dynamics Using Symmetry-Preserving Ansatzes
Matthew Otten, Cristian Cortes, Stephen K Gray
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M08.00004: Error Mitigation in Data Driven Circuit Learning
Kathleen Hamilton, Tyler Kharazi, Vicente Leyton-Ortega, Raphael Pooser
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M08.00005: Preserving Symmetries for Variational Quantum Eigensolvers in the Presence of Noise
George S. Barron, Bryan T. Gard, Orien J Altman, Nicholas J. Mayhall, Edwin Barnes, Sophia Economou
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M08.00006: Querying quantum computers with neural networks: precise measurements and noise reduction
Antonio Mezzacapo, Abhinav Kandala, Guglielmo Mazzola, Kenny Jing Choo, Giacomo Torlai, Giuseppe Carleo
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M08.00007: Measurement Reduction in Variational Quantum Algorithms
Andrew Zhao, Andrew Tranter, William Kirby, Shu Fay Ung, Akimasa Miyake, Peter Love
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M08.00008: Noise Resilience of Variational Quantum Compiling
Kunal Sharma, Sumeet Khatri, Marco Cerezo de la Roca, Patrick Coles
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M08.00009: Quantum Dynamical Complexity and Reliability of Analog Quantum Simulation
Karthik Chinni, Pablo Poggi, Ivan Deutsch
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M08.00010: Exploiting molecular point group symmetries for quantum simulation
Kanav Setia, James D Whitfield, Antonio Mezzacapo, Julia Rice, Marco Pistoia, Richard Chen
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M08.00011: Quantum-classical simulation of two-site dynamical mean-field theory on noisy quantum hardware
Trevor Keen, Thomas Maier, Steven Johnston, Pavel Lougovski
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M08.00012: Nearly Optimal Measurement Scheduling for Partial Tomography of Quantum States
Xavier Bonet-Monroig, Ryan Babbush, Thomas O'Brien
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M08.00013: Extracting state purity of a large system with limited control
Yariv Yanay, Charles Tahan
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M08.00014: Evaluation of the classical sampling cost for noisy quantum circuits
Shigeo Hakkaku, Keisuke Fujii
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