output
20172023
most citedLSB: A Lightweight Scalable BlockChain for IoT Security and Privacy

483 citations

9 papers

eess.SP2023★ 16 cited

Evaluation of onboard sensors for track geometry monitoring against conventional track recording measurements

Hengcheng Zhang, Zhan Yie Chin, Pietro Borghesani +2

The main objective of this paper is to assess the estimation of track condition parameters using onboard micro-electro-mechanical-system (MEMS) accelerometers. A prototype of an on…

stat.AP2023★ 2 cited

Bayesian Multivariate Track Geometry Degradation Modelling and its use in Condition-Based Inspection

Huy Truong-Ba, Sinda Rebello, Michael E. Cholette +2

Effective maintenance of railway infrastructure is crucial for safe and comfortable transportation. Among the various degradation modes, track geometry deformation due to repeated…

quant-ph2023★ 53 cited

Enhancing the sensitivity of atom-interferometric inertial sensors using robust control

J. C. Saywell, M. S. Carey, P. S. Light +13

Atom-interferometric quantum sensors could revolutionize navigation, civil engineering, and Earth observation. However, operation in real-world environments is challenging due to e…

quant-ph2022★ 40 cited

Experimental benchmarking of an automated deterministic error suppression workflow for quantum algorithms

Pranav S. Mundada, Aaron Barbosa, Smarak Maity +8

Excitement about the promise of quantum computers is tempered by the reality that the hardware remains exceptionally fragile and error-prone, forming a bottleneck in the developmen…

quant-ph2021★ 120 cited

Experimental Deep Reinforcement Learning for Error-Robust Gateset Design on a Superconducting Quantum Computer

Yuval Baum, Mirko Amico, Sean Howell +6

Quantum computers promise tremendous impact across applications -- and have shown great strides in hardware engineering -- but remain notoriously error prone. Careful design of low…

quant-ph2020★ 27 cited

Scalable hyperfine qubit state detection via electron shelving in the D and F manifolds in Yb

C. L. Edmunds, T. R. Tan, A. R. Milne +3

Qubits encoded in hyperfine states of trapped ions are ideal for quantum computation given their long lifetimes and low sensitivity to magnetic fields, yet they suffer from off-res…