![]() ![]() Servicing ultra-reliable and low-latency communication (URLLC) traffic typically calls for a pre-emptive allocation of resources in order to meet stringent delay constraints. Wang, “Practical distributed quantum information processing with LOCCNet,” Quantum Information, vol. Sanpera, “Quantum privacy amplification and the security of quantum cryptography over noisy channels”, Phys. In our another recent work, published in Entropy, we have extended the NA-LOCCNet framework to the problem of quantum state discrimination. The black dashed line corresponds to the reference performance of a scheme that simply outputs the input state. 4: Average output fidelity, conditioned on a successful distillation, as a function of the input fidelity F for bit flip probability p = 0.25 on the noisy classical channels from Alice and Bob to Charlie. Warmuth, “Matrix exponentiated gradient updates for on-line learning and Bregman projection”, Journal of Machine Learning Research, vol. Orabona, “A modern introduction to online learning”, CoRR, vol. Pirandola, “Convex optimization of programmable quantum computers”, npj Quantum Information, vol. ![]() Chuang, “Programmable quantum gate arrays”, Phys. Simeone, “An introduction to quantum machine learning for engineers”,įoundations and Trends in Signal Processing, vol. 3: Normalized regret as a function of time T for MEGD when simulating a time-varying dephasing channel with dephasing probabilities drawn independently and uniformly at each time in the interval [0.2,p_max) (setting p_max=0.2 models a constant channel). ![]()
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