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Incremental Data-Uploading for Full-Quantum Classification

Incremental Data-Uploading for Full-Quantum Classification

6 May 2022
Maniraman Periyasamy
Nico Meyer
Christian Ufrecht
Daniel D. Scherer
Axel Plinge
Christopher Mutschler
    AI4CE
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Papers citing "Incremental Data-Uploading for Full-Quantum Classification"

11 / 11 papers shown
Title
Predictive control of blast furnace temperature in steelmaking with hybrid depth-infused quantum neural networks
Predictive control of blast furnace temperature in steelmaking with hybrid depth-infused quantum neural networks
Nayoung Lee
Minsoo Shin
Asel Sagingalieva
Ayush Joshi Tripathi
Karan Pinto
Alexey A. Melnikov
AI4CE
34
1
0
16 Apr 2025
Fourier Analysis of Variational Quantum Circuits for Supervised Learning
Fourier Analysis of Variational Quantum Circuits for Supervised Learning
Marco Wiedmann
Maniraman Periyasamy
Daniel D. Scherer
34
0
0
05 Nov 2024
Hype or Heuristic? Quantum Reinforcement Learning for Join Order
  Optimisation
Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation
Maja Franz
Tobias Winker
Sven Groppe
Wolfgang Mauerer
18
2
0
13 May 2024
Guided-SPSA: Simultaneous Perturbation Stochastic Approximation assisted
  by the Parameter Shift Rule
Guided-SPSA: Simultaneous Perturbation Stochastic Approximation assisted by the Parameter Shift Rule
Maniraman Periyasamy
Axel Plinge
Christopher Mutschler
Daniel D. Scherer
Wolfgang Mauerer
36
6
0
24 Apr 2024
Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks
Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks
Nico Meyer
Christian Ufrecht
Maniraman Periyasamy
Axel Plinge
Christopher Mutschler
Daniel D. Scherer
Andreas R. Maier
37
4
0
09 Apr 2024
Quantum Machine Learning on Near-Term Quantum Devices: Current State of
  Supervised and Unsupervised Techniques for Real-World Applications
Quantum Machine Learning on Near-Term Quantum Devices: Current State of Supervised and Unsupervised Techniques for Real-World Applications
Yaswitha Gujju
A. Matsuo
Raymond H. Putra
20
23
0
03 Jul 2023
BCQQ: Batch-Constraint Quantum Q-Learning with Cyclic Data Re-uploading
BCQQ: Batch-Constraint Quantum Q-Learning with Cyclic Data Re-uploading
Maniraman Periyasamy
Marc Hölle
Marco Wiedmann
Daniel D. Scherer
Axel Plinge
Christopher Mutschler
OffRL
36
6
0
27 Apr 2023
Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement
  Learning
Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning
Nico Meyer
Daniel D. Scherer
Axel Plinge
Christopher Mutschler
M. Hartmann
31
10
0
26 Apr 2023
Quantum Policy Gradient Algorithm with Optimized Action Decoding
Quantum Policy Gradient Algorithm with Optimized Action Decoding
Nico Meyer
Daniel D. Scherer
Axel Plinge
Christopher Mutschler
M. Hartmann
29
19
0
13 Dec 2022
A Survey on Quantum Reinforcement Learning
A Survey on Quantum Reinforcement Learning
Nico Meyer
Christian Ufrecht
Maniraman Periyasamy
Daniel D. Scherer
Axel Plinge
Christopher Mutschler
AI4CE
LRM
34
52
0
07 Nov 2022
Uncovering Instabilities in Variational-Quantum Deep Q-Networks
Uncovering Instabilities in Variational-Quantum Deep Q-Networks
Maja Franz
Lucas Wolf
Maniraman Periyasamy
Christian Ufrecht
Daniel D. Scherer
Axel Plinge
Christopher Mutschler
Wolfgang Mauerer
24
29
0
10 Feb 2022
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