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19952026
most citedSuppressing quantum errors by scaling a surface code logical qubit

1.1k citations

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48 papers · 1 filter

eess.SP2018★ 73 cited

Dealing with Limited Backhaul Capacity in Millimeter Wave Systems: A Deep Reinforcement Learning Approach

Mingjie Feng, Shiwen Mao

Millimeter Wave (MmWave) communication is one of the key technology of the fifth generation (5G) wireless systems to achieve the expected 1000x data rate. With large bandwidth at m…

astro-ph.EP2018★ 7 cited

ROSETTA/OSIRIS observations of the 67P nucleus during the April 2016 flyby: high-resolution spectrophotometry

C. Feller, S. Fornasier, S. Ferrari +35

In April 2016, the Rosetta spacecraft performed a low-altitude low-phase-angle flyby over the Imhotep-Khepry transition of 67P/Churyumov-Gerasimenko's nucleus. The OSIRIS/Narrow-An…

cs.ET2018★ 31 cited

Superconducting Neuromorphic Computing Using Quantum Phase-Slip Junctions

Ran Cheng, Uday S. Goteti, Michael C. Hamilton

Superconducting circuits based on quantum phase-slip junctions (QPSJs) can conduct quantized charge pulses, which naturally resemble action potentials generated by biological neuro…

math.DS2018★ 4 cited

Logistic type attraction-repulsion chemotaxis systems with a free boundary or unbounded boundary. I. Asymptotic dynamics in fixed unbounded domain

Lianzhang Bao, Wenxian Shen

The current series of research papers is to investigate the asymptotic dynamics in logistic type chemotaxis models in one space dimension with a free boundary or an unbounded bound…

cond-mat.stat-mech2018★ 9 cited

The Fokker-Planck Equation for Lattice Vibration: Stochastic Dynamics and Thermal Conductivity

Yi Zeng, Jianjun Dong

We propose a Fokker-Planck equation (FPE) theory to describe stochastic fluctuation and relaxation processes of lattice vibration at a wide range of conditions, including those bey…

cs.LG2018★ 3 cited

QUOTA: The Quantile Option Architecture for Reinforcement Learning

Shangtong Zhang, Borislav Mavrin, Linglong Kong +2

In this paper, we propose the Quantile Option Architecture (QUOTA) for exploration based on recent advances in distributional reinforcement learning (RL). In QUOTA, decision making…