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Publication search results
found 16 matches
- 2020
- Amira Abbas, Maria Schuld, Francesco Petruccione:
On quantum ensembles of quantum classifiers. Quantum Mach. Intell. 2(1): 1-8 (2020) - 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. Quantum Mach. Intell. 2(1): 1-7 (2020) - 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. Quantum Mach. Intell. 2(2): 1-21 (2020) - Matthias C. Caro, Ishaun Datta:
Pseudo-dimension of quantum circuits. Quantum Mach. Intell. 2(2): 1-14 (2020) - Balthazar Casalé, Giuseppe Di Molfetta, Hachem Kadri, Liva Ralaivola:
Quantum bandits. Quantum Mach. Intell. 2(1): 1-7 (2020) - Songsong Dai:
A note on implication operators of quantum logic. Quantum Mach. Intell. 2(2): 1-6 (2020) - Kathleen E. Hamilton, Raphael C. Pooser:
Error-mitigated data-driven circuit learning on noisy quantum hardware. Quantum Mach. Intell. 2(1): 1-15 (2020) - Maxwell Henderson, Samriddhi Shakya, Shashindra Pradhan, Tristan Cook:
Quanvolutional neural networks: powering image recognition with quantum circuits. Quantum Mach. Intell. 2(1): 1-9 (2020) - Eric B. Jones, Peter A. Graf, Eliot Kapit, Wesley B. Jones:
K-spin Hamiltonian for quantum-resolvable Markov decision processes. Quantum Mach. Intell. 2(2): 1-11 (2020) - 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. Quantum Mach. Intell. 2(1): 1-26 (2020) - Jelena Mackeprang, Durga B. Rao Dasari, Jörg Wrachtrup:
A reinforcement learning approach for quantum state engineering. Quantum Mach. Intell. 2(1): 1-14 (2020) - Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck:
Quantum learning with noise and decoherence: a robust quantum neural network. Quantum Mach. Intell. 2(1): 1-15 (2020) - Kyungdeock Daniel Park, Jonghun Park, June-Koo Kevin Rhee:
Quantum-classical reinforcement learning for decoding noisy classical parity information. Quantum Mach. Intell. 2(1): 1-11 (2020) - Carla Silva, Ana Aguiar, Priscila M. V. Lima, Inês Dutra:
Mapping graph coloring to quantum annealing. Quantum Mach. Intell. 2(2): 1-19 (2020) - 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. Quantum Mach. Intell. 2(1): 1-9 (2020) - Savvas Varsamopoulos, Koen Bertels, Carmen G. Almudéver:
Decoding surface code with a distributed neural network-based decoder. Quantum Mach. Intell. 2(1): 1-12 (2020)
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