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QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. (arXiv:2107.10845v5 [quant-ph] UPDATED)
Jan. 10, 2022, 2:10 a.m. | Hanrui Wang, Yongshan Ding, Jiaqi Gu, Zirui Li, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han
cs.LG updates on arXiv.org arxiv.org
Quantum noise is the key challenge in Noisy Intermediate-Scale Quantum (NISQ)
computers. Previous work for mitigating noise has primarily focused on
gate-level or pulse-level noise-adaptive compilation. However, limited research
efforts have explored a higher level of optimization by making the quantum
circuits themselves resilient to noise.
We propose QuantumNAS, a comprehensive framework for noise-adaptive co-search
of the variational circuit and qubit mapping. Variational quantum circuits are
a promising approach for constructing QML and quantum simulation. However,
finding the best variational …
More from arxiv.org / cs.LG updates on arXiv.org
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