172 citations · 682 across the 25 of their papers we have counts for
6 papers · 1 filter
Experimental Characterization of Fault-Tolerant Circuits in Small-Scale Quantum Processors
Rosie Cane, Daryus Chandra, Soon Xin Ng +1
Experiments conducted on open-access cloud-based IBM Quantum devices are presented for characterizing their fault tolerance using -encoded gate sequences. Up to 100 logica…
Circuit Symmetry Verification Mitigates Quantum-Domain Impairments
Yifeng Xiong, Daryus Chandra, Soon Xin Ng +1
State-of-the-art noisy intermediate-scale quantum computers require low-complexity techniques for the mitigation of computational errors inflicted by quantum decoherence. Symmetry…
Deep Learning Aided Packet Routing in Aeronautical Ad-Hoc Networks Relying on Real Flight Data: From Single-Objective to Near-Pareto Multi-Objective Optimization
Dong Liu, Jiankang Zhang, Jingjing Cui +3
Data packet routing in aeronautical ad-hoc networks (AANETs) is challenging due to their high-dynamic topology. In this paper, we invoke deep learning (DL) to assist routing in AAN…
Deep Learning Aided Routing for Space-Air-Ground Integrated Networks Relying on Real Satellite, Flight, and Shipping Data
Dong Liu, Jiankang Zhang, Jingjing Cui +3
Current maritime communications mainly rely on satellites having meager transmission resources, hence suffering from poorer performance than modern terrestrial wireless networks. W…
Quantum Approximate Optimization Algorithm Based Maximum Likelihood Detection
Jingjing Cui, Yifeng Xiong, Soon Xin Ng +1
Recent advances in quantum technologies pave the way for noisy intermediate-scale quantum (NISQ) devices, where quantum approximation optimization algorithms (QAOAs) constitute pro…
Quantum Error Mitigation Relying on Permutation Filtering
Yifeng Xiong, Soon Xin Ng, Lajos Hanzo
Quantum error mitigation (QEM) is a class of promising techniques capable of reducing the computational error of variational quantum algorithms tailored for current noisy intermedi…