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Quantum Machine Intelligence, Volume 3
Volume 3, Number 1, June 2021
- Ilaria Siloi
, Virginia Carnevali
Investigating the Chinese postman problem on a quantum annealer. 1-10 - Davide Pastorello, Enrico Blanzieri
Learning adiabatic quantum algorithms over optimization problems. 1-19 - Hongxiang Chen
Universal discriminative quantum neural networks. 1-11 - Gawel I. Kus, Sybrand van der Zwaag, Miguel A. Bessa
Sparse quantum Gaussian processes to counter the curse of dimensionality. 1-12 - Andrea Skolik
Layerwise learning for quantum neural networks. 1-11 - Maxwell P. Henderson
Methods for accelerating geospatial data processing using quantum computers. 1-9 - Thomas Hubregtsen
Evaluation of parameterized quantum circuits: on the relation between classification accuracy, expressibility, and entangling capability. 1-19 - Riccardo Mengoni
Facial expression recognition on a quantum computer. 1-11 - Christa Zoufal
Variational quantum Boltzmann machines. 1-15 - Max Wilson
Optimizing quantum heuristics with meta-learning. 1-14 - Sheir Yarkoni
Semi-supervised time series classification method for quantum computing. 1-11 - Rasoul Kheiri
A projective simulation scheme for partially observable multi-agent systems. 1-16 - Gideon Bass
Optimizing the optimizer: decomposition techniques for quantum annealing. 1-14 - Matthias C. Caro
Binary classification with classical instances and quantum labels. 1-24 - Vicente Leyton-Ortega, Alejandro Perdomo-Ortiz
Robust implementation of generative modeling with parametrized quantum circuits. 1-10 - Johannes Bausch
A quantum search decoder for natural language processing. 1-24 - Chen Zhao, Xiao-Shan Gao
QDNN: deep neural networks with quantum layers. 1-9 - Zhikuan Zhao
Smooth input preparation for quantum and quantum-inspired machine learning. 1-6
Volume 3, Number 2, December 2021
- Liming Zhao, Zhikuan Zhao, Patrick Rebentrost, Joseph F. Fitzsimons:
Compiling basic linear algebra subroutines for quantum computers. 1-10 - Sarin Abraham, M. Punniyamoorthy:
A fuzzy approach using asymmetrical triangular distribution in a two-person zero-sum game for a multi-criteria decision-making problem. 1-24 - Max Wilson
Quantum-assisted associative adversarial network: applying quantum annealing in deep learning. 1-14 - Arne Hamann
Quantum-accessible reinforcement learning beyond strictly epochal environments. 1-18 - Viraj Kulkarni
Quantum computing methods for supervised learning. 1-14 - Claudio Conti
Training Gaussian boson sampling by quantum machine learning. 1-8 - Mohammad Pirhooshyaran
Quantum circuit design search. 1-14 - Seyran Saeedi, Aliakbar Panahi, Tom Arodz
Quantum semi-supervised kernel learning. 1-11 - Cenk Tüysüz
Hybrid quantum classical graph neural networks for particle track reconstruction. 1-20 - Leonardo Alchieri
An introduction to quantum machine learning: from quantum logic to quantum deep learning. 1-30 - Alexander Zlokapa
Charged particle tracking with quantum annealing optimization. 1-11
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