Gradient-based Automatic Per-Weight Mixed Precision Quantization for Neural Networks On-Chip.
CoRR, 2024
The QUANT-NET Testbed Development and Preliminary Results.
,
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024
Orchestration of Entanglement Distribution over a Q-LAN using the IEQNET Controller.
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024
Fast Particle-based Anomaly Detection Algorithm with Variational Autoencoder.
CoRR, 2023
Efficient and Robust Jet Tagging at the LHC with Knowledge Distillation.
CoRR, 2023
Optimization of Classical Light Wavelengths Coexisting with C-band Quantum Networks for Minimal Noise Impact.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023
Traversable wormhole dynamics on a quantum processor.
Nat., 2022
Source-agnostic gravitational-wave detection with recurrent autoencoders.
Mach. Learn. Sci. Technol., 2022
Charged particle tracking with quantum annealing optimization.
Quantum Mach. Intell., 2021
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks.
CoRR, 2021
Diolkos: improving ethernet throughput through dynamic port selection.
Proceedings of the CF '21: Computing Frontiers Conference, 2021
Topology Classification with Deep Learning to Improve Real-Time Event Selection at the LHC.
Comput. Softw. Big Sci., December, 2019
Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2019
Quantum adiabatic machine learning with zooming.
CoRR, 2019
Charged particle tracking with quantum annealing-inspired optimization.
CoRR, 2019
hepaccelerate: Fast Analysis of Columnar Collider Data.
CoRR, 2019
Variational Autoencoders for New Physics Mining at the Large Hadron Collider.
CoRR, 2018
Pileup mitigation at the Large Hadron Collider with Graph Neural Networks.
CoRR, 2018
Solving a Higgs optimization problem with quantum annealing for machine learning.
Nat., 2017
Next-Generation Exascale Network Integrated Architecture for Global Science [Invited].
JOCN, 2017
An MPI-Based Python Framework for Distributed Training with Keras.
CoRR, 2017
SDN next generation integrated architecture for HEP and global science.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2016