Quasiprobability decompositions with reduced sampling overhead
- Christophe Piveteau
- David Sutter
- et al.
- 2022
- npj Quantum Information
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10 results for Christophe Piveteau
Accurate deep neural network inference using computational phase-change memory
- Vinay Joshi
- Manuel Le Gallo
- et al.
- 2020
- Nature Communications
Circuit knitting with classical communication
- Christophe Piveteau
- David Sutter
- 2023
- IEEE Trans. Inf. Theory
Error Mitigation for Universal Gates on Encoded Qubits
- Christophe Piveteau
- David Sutter
- et al.
- 2021
- Physical Review Letters
Phase-change memory models for deep learning training and inference
- S. R. Nandakumar
- Irem Boybat
- et al.
- 2019
- ICECS 2019
Computational memory-based inference and training of deep neural networks
- Abu Sebastian
- Irem Boybat
- et al.
- 2019
- VLSI Circuits 2019
Multi-ReRAM synapses for artificial neural network training
- Irem Boybat
- Cecilia Giovinazzo
- et al.
- 2019
- ISCAS 2019
Training neural networks using memristive devices with nonlinear accumulative behavior
- Christophe Piveteau
- Manuel Le Gallo
- et al.
- 2019
- IMW 2019
Mixed-Precision Deep Learning Based on Computational Memory
- S. R. Nandakumar
- Manuel Le Gallo
- et al.
- 2020
- Frontiers in Neuroscience
Deep learning acceleration based on in-memory computing
- Evangelos Eleftheriou
- Geethan Karunaratne
- et al.
- 2019
- IBM J. Res. Dev