ref [132] · 2509.03078 · notice #8495 · dispute
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G¨ arttner, Efficient quantum state tomography with convolutional neural networks. npj Quantum Information 8(1), 115 (2022). https://doi.org/10.1038/s41534-022-00621-4. URL https://doi.org/10.1038/ s41534-022-00621-4 [132] J. Carrasquilla, G. Torlai, R.G. Melko, L. Aolita, Reconstructing quantum states with generative models. Nature Machine Intelligence 1(3), 155-161 (2019). https://doi.org/10.1038/s42256-019-0028-1. URL https://doi.org/10. 1038/s42256-019-0028-1 65 [133] S. Ahmed, C. S' anchez Mu˜ noz, F. Nori, A.F. Kockum, Quantum state tomog- raphy with conditional generative adversarial networks. Phys. Rev. Lett. 127, 140502 (2021). https://doi.org/10.1103/PhysRevLett.127.140502. URL https: //link.aps.org/doi/10.1103/PhysRevLett.127.140502 [134] P. Cha, P.
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G¨ arttner, Efficient quantum state tomography with convolutional neural networks. npj Quantum Information 8(1), 115 (2022). https://doi.org/10.1038/s41534-022-00621-4. URL https://doi.org/10.1038/ s41534-022-00621-4 [132] J. Carrasquilla, G. Torlai, R.G. Melko, L. Aolita, Reconstructing quantum states with generative models. Nature Machine Intelligence 1(3), 155-161 (2019). https://doi.org/10.1038/s42256-019-0028-1. URL https://doi.org/10. 1038/s42256-019-0028-1 65 [133] S. Ahmed, C. S' anchez Mu˜ noz, F. Nori, A.F. Kockum, Quantum state tomog- raphy with conditional generative adversarial networks. Phys. Rev. Lett. 127, 140502 (2021). https://doi.org/10.1103/PhysRevLett.127.140502. URL https: //link.aps.org/doi/10.1103/PhysRevLett.127.140502 [134] P. Cha, P