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Quantum Machine Intelligence, Volume 2
Volume 2, Number 1, June 2020
- Nam H. Nguyen, Elizabeth C. Behrman

, James Edward Steck:
Quantum learning with noise and decoherence: a robust quantum neural network. 1-15 - Maxwell P. Henderson

, Samriddhi Shakya, Shashindra Pradhan, Tristan Cook:
Quanvolutional neural networks: powering image recognition with quantum circuits. 1-9 - Savvas Varsamopoulos

, Koen Bertels, Carmen G. Almudéver:
Decoding surface code with a distributed neural network-based decoder. 1-12 - Luca Asproni, Davide Caputo, Blanca Silva, Giovanni Fazzi, Marco Magagnini:

Accuracy and minor embedding in subqubo decomposition with fully connected large problems: a case study about the number partitioning problem. 1-7 - Jelena Mackeprang, Durga B. Rao Dasari, Jörg Wrachtrup

:
A reinforcement learning approach for quantum state engineering. 1-14 - Amira Abbas

, Maria Schuld, Francesco Petruccione:
On quantum ensembles of quantum classifiers. 1-8 - Kunal Kathuria, Aakrosh Ratan

, Michael McConnell, Stefan Bekiranov
:
Implementation of a Hamming distance-like genomic quantum classifier using inner products on ibmqx2 and ibmq_16_melbourne. 1-26 - Kyungdeock Daniel Park, Jonghun Park, June-Koo Kevin Rhee

:
Quantum-classical reinforcement learning for decoding noisy classical parity information. 1-11 - Yudai Suzuki

, Hiroshi Yano, Qi Gao, Shumpei Uno, Tomoki Tanaka, Manato Akiyama
, Naoki Yamamoto:
Analysis and synthesis of feature map for kernel-based quantum classifier. 1-9 - Kathleen E. Hamilton

, Raphael C. Pooser:
Error-mitigated data-driven circuit learning on noisy quantum hardware. 1-15 - Balthazar Casalé, Giuseppe Di Molfetta

, Hachem Kadri
, Liva Ralaivola:
Quantum bandits. 1-7
Volume 2, Number 2, December 2020
- Songsong Dai

:
A note on implication operators of quantum logic. 1-6 - Matthias C. Caro

, Ishaun Datta
:
Pseudo-dimension of quantum circuits. 1-14 - Walter L. Boyajian, Jens Clausen, Lea M. Trenkwalder

, Vedran Dunjko, Hans J. Briegel
:
On the convergence of projective-simulation-based reinforcement learning in Markov decision processes. 1-21 - Eric B. Jones

, Peter A. Graf, Eliot Kapit, Wesley B. Jones:
K-spin Hamiltonian for quantum-resolvable Markov decision processes. 1-11 - Carla Silva

, Ana Aguiar
, Priscila M. V. Lima, Inês Dutra
:
Mapping graph coloring to quantum annealing. 1-19

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