Variational learning for quantum artificial neural networks
- Francesco Tacchino
- Panagiotis Kl. Barkoutsos
- et al.
- 2020
- QCE 2020
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38 results for Panagiotis Kl. Barkoutsos
Hardware-tailored diagonalization circuits
- Daniel Miller
- Laurin E. Fischer
- et al.
- 2024
- npj Quantum Information
Quantum anomaly detection in the latent space of proton collision events at the LHC
- Vasilis Belis
- Kinga Anna Woźniak
- et al.
- 2024
- Communications Physics
Quantum computation of reactions on surfaces using local embedding
- Tanvi P. Gujarati
- Mario Motta
- et al.
- 2023
- npj Quantum Information
Resource-efficient quantum algorithm for protein folding
- Anton Robert
- Panagiotis Kl. Barkoutsos
- et al.
- 2021
- npj Quantum Information
Nonunitary Operations for Ground-State Calculations in Near-Term Quantum Computers
- Guglielmo Mazzola
- Pauline J. Ollitrault
- et al.
- 2019
- Physical Review Letters
Quantum machine learning in the latent space of high energy physics events
- Kinga Anna Woźniak
- Vasilis Belis
- et al.
- 2021
- ACAT 2021
An quantum algorithm for feedforward neural networks tested on existing quantum hardware
- Francesco Tacchino1
- Dario Gerace
- et al.
- 2020
- ESANN 2020
Extended wavefunctions for the Variational Quantum Eigensolver
- Francesco Benfenati
- Leonardo Guidoni
- et al.
- 2019
- QIM 2019
Stochastic Matrix-Function Estimators: Scalable Big-Data Kernels with High Performance
- Peter Staar
- Panagiotis Kl. Barkoutsos
- et al.
- 2016
- IPDPS 2016