Quantum 6, 721 (2022). https://doi.org/10.22331/q-2022-05-24-721 We build on recent work by B. Brown (Sci. Adv. 6, eaay4929 (2020)) to develop and simulate an explicit recipe for a just-in-time decoding scheme in three 3D surface codes, […]
Category: quantumjournal
Quantum 6, 720 (2022). https://doi.org/10.22331/q-2022-05-24-720 Quantum machine learning (QML) has been identified as one of the key fields that could reap advantages from near-term quantum devices, next to optimization and quantum chemistry. Research in this […]
Quantum 6, 719 (2022). https://doi.org/10.22331/q-2022-05-24-719 The theoretical description of non-equilibrium Bose–Einstein condensate (BEC) is one of the main challenges in modern statistical physics and kinetics. The non-equilibrium nature of BEC makes it impossible to employ […]
Quantum 6, 718 (2022). https://doi.org/10.22331/q-2022-05-24-718 We present protocols for quantum key distribution in a prepare-and-measure setup with an asymmetric level of trust. While the device of the sender (Alice) is partially characterized, the receiver’s (Bob’s) […]
Quantum 6, 717 (2022). https://doi.org/10.22331/q-2022-05-24-717 In a Bell test, the set of observed probability distributions complying with the principle of local realism is fully characterized by Bell inequalities. Quantum theory allows for a violation of […]
Quantum 6, 716 (2022). https://doi.org/10.22331/q-2022-05-19-716 Certification of quantum devices received from unknown providers is a primary requirement before utilizing the devices for any information processing task. Here, we establish a protocol for certification of a […]
Quantum 6, 715 (2022). https://doi.org/10.22331/q-2022-05-19-715 Entanglement distillation is an essential building block in quantum communication protocols. Here, we study the class of near-term implementable distillation protocols that use bilocal Clifford operations followed by a single […]
Quantum 6, 714 (2022). https://doi.org/10.22331/q-2022-05-17-714 Neural networks have emerged as a powerful way to approach many practical problems in quantum physics. In this work, we illustrate the power of deep learning to predict the dynamics […]
Quantum 6, 713 (2022). https://doi.org/10.22331/q-2022-05-16-713 We describe a general approach to modeling rational decision-making agents who adopt either quantum or classical mechanics based on the Quantum Bayesian (QBist) approach to quantum theory. With the additional […]
Quantum 6, 712 (2022). https://doi.org/10.22331/q-2022-05-13-712 We identify time-optimal laser pulses to implement the controlled-Z gate and its three qubit generalization, the C$_2$Z gate, for Rydberg atoms in the blockade regime. Pulses are optimized using a […]
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