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RT @JanAKrzywda: 2. https://t.co/xrPN03vJhG Control of multitude, time-dependent parameters (1/f noise) in typical semiconductor #quantum d…
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[2012.00326] Deep #reinforcementlearning for universal quantum state preparation via dynamic pulse control https://t.co/YKoho8ZDD6 H/T: @JanAKrzywda
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2. https://t.co/xrPN03vJhG Control of multitude, time-dependent parameters (1/f noise) in typical semiconductor #quantum dot qubits might require AI. Here a proposal of using deep learning to prepare/reset to arbitrary single/two-qubit state in S-T qubit i
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RT @_arXiv_quant_ph: --- Papers of the week --- 0 recommendations / 1 retweet / 0 likes https://t.co/57TKi6WrZU
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--- Papers of the week --- 0 recommendations / 1 retweet / 0 likes https://t.co/57TKi6WrZU
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RT @_arXiv_quant_ph: --- Papers of the week --- 0 recommendations / 1 retweet / 0 likes https://t.co/57TKi6WrZU
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--- Papers of the week --- 0 recommendations / 1 retweet / 0 likes https://t.co/57TKi6WrZU
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Deep #ReinforcementLearning for universal quantum state preparation via dynamic pulse control https://t.co/cZSygxUocu #lib_arXiv #DeepLearning #DL #UniversalQuantumComputer #DRL
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RT @deep_rl: Deep reinforcement learning for universal quantum state preparation via dynamic pulse control - Run-Hong He https://t.co/Ou9…
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Deep reinforcement learning for universal quantum state preparation via dynamic pulse control - Run-Hong He https://t.co/Ou9Rv6inTo
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RT @_arXiv_quant_ph: [2012.00326] Run-Hong He, Rui Wang, Jing Wu et al.: Deep reinforcement learning for universal quantum state preparatio…
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[2012.00326] Run-Hong He, Rui Wang, Jing Wu et al.: Deep reinforcement learning for universal quantum state preparation via dynamic pulse control https://t.co/AzXrywDwaU https://t.co/M8vrmBcWu2