13 KiB
Resources for Quantum Computing Machine Learning
Introductory Concepts
Atom Structure
Photon Wave
- A nice animation video about the basic atom structure
- A nice animation video about the basic photon.
Electron Fluctuation or spin
- A nice animation video about the basic Electron Spin.
- A nice animation video about the basic Electron Spin.
- A nice animation video about the basic Electron Spin.
States
SuperPosition
SuperPosition specific for machine learning (Quantum Walks)
Qubit
Basic Gates in Quantum Computing
Quantum Diode
Quantum Transistors
Quantum Processor
Quantum Registery QRAM
Complex Numbers
Tensors
Tensors Network
Quantum K-Means
Quantum Fuzzy C-Means
Quantum Support Vector Machine
Quantum Genetic Algorithm
Quantum Hidden Morkov Models
Quantum state classification with Bayesian methods
Quantum Ant Colony Optimization
Quantum Cellular Automata
Quantum perceptrons
TED Talks related to Quantum Computing
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A beginner's guide to quantum computing: https://www.ted.com/talks/shohini_ghose_quantum_computing_explained_in_10_minutes#t-322340
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What can Schrödinger's cat teach us about quantum mechanics? https://www.ted.com/talks/josh_samani_what_can_schrodinger_s_cat_teach_us_about_quantum_mechanics#t-323151
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Schrödinger's cat: A thought experiment in quantum mechanics: https://www.ted.com/talks/chad_orzel_schrodinger_s_cat_a_thought_experiment_in_quantum_mechanics#t-263061
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What is the Heisenberg Uncertainty Principle? https://www.ted.com/talks/chad_orzel_what_is_the_heisenberg_uncertainty_principle#t-259830
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How quantum physics can make encryption stronger: https://www.ted.com/talks/vikram_sharma_how_quantum_physics_can_make_encryption_stronger#t-701357
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How quantum biology might explain life's biggest questions: https://www.ted.com/talks/jim_al_khalili_how_quantum_biology_might_explain_life_s_biggest_questions#t-394875
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Making sense of a visible quantum object: https://www.ted.com/talks/aaron_o_connell_making_sense_of_a_visible_quantum_object#t-9460
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The future of supercomputers? A quantum chip colder than outer space: https://www.ted.com/talks/jerry_chow_the_future_of_supercomputers_a_quantum_chip_colder_than_outer_space#t-1807
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What's the smallest thing in the universe? https://www.ted.com/talks/jonathan_butterworth_what_s_the_smallest_thing_in_the_universe#t-305865
Reviews
- Quantum Machine Learning: What Quantum Computing Means to Data Mining (2014)
- Quantum Machine Learning (2016)
- A Survey of Quantum Learning Theory (2017)
- Quantum Machine Learning: a classical perspective (2017)
- Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers (2017)
- Quantum machine learning for data scientists (2018)
- Supervised Learning with Quantum Computers (2018)
Discrete-variables quantum computing
Theory
Variational circuits
- Quantum Boltzmann Machine (2016)
- Quantum Perceptron Model (2016)
- Quantum autoencoders via quantum adders with genetic algorithms (2017)
- A Quantum Hopfield Neural Network (2017)
- Automated optimization of large quantum circuits with continuous parameters (2017)
- Quantum Neuron: an elementary building block for machine learning on quantum computers (2017)
- A quantum algorithm to train neural networks using low-depth circuits (2017)
- A generative modeling approach for benchmarking and training shallow quantum circuits (2018)
- Universal quantum perceptron as efficient unitary approximators (2018)
- Quantum Variational Autoencoder (2018)
- Classification with Quantum Neural Networks on Near Term Processors (2018)
- Barren plateaus in quantum neural network training landscapes (2018)
- Quantum generative adversarial learning (2018)
- Quantum generative adversarial networks (2018)
- Circuit-centric quantum classifiers (2018)
- Universal discriminative quantum neural networks (2018)
- A Universal Training Algorithm for Quantum Deep Learning (2018)
- Bayesian Deep Learning on a Quantum Computer (2018)
- Quantum generative adversarial learning in a superconducting quantum circuit (2018)
- The Expressive Power of Parameterized Quantum Circuits (2018)
- Quantum Convolutional Neural Networks (2018)
- An Artificial Neuron Implemented on an Actual Quantum Processor (2018)
- Graph Cut Segmentation Methods Revisited with a Quantum Algorithm (2018)
- Efficient Learning for Deep Quantum Neural Networks (2019)
- Parameterized quantum circuits as machine learning models (2019)
- Machine Learning Phase Transitions with a Quantum Processor (2019)
Tensor Networks
- Towards Quantum Machine Learning with Tensor Networks (2018)
- Hierarchical quantum classifiers (2018)
Reinforcement learning
- Quantum reinforcement learning (2008)
- Reinforcement Learning Using Quantum Boltzmann Machines (2016)
- Generalized Quantum Reinforcement Learning with Quantum Technologies (2017)
Optimization
- Quantum gradient descent and Newton’s method for constrained polynomial optimization (2016)
- Quantum algorithms and lower bounds for convex optimization (2018)
Kernel methods and SVM
- Supervised learning with quantum enhanced feature spaces (2018)
- Quantum Sparse Support Vector Machines (2019)
- Sublinear quantum algorithms for training linear and kernel-based classifiers (2019)
Continuous-variables quantum computing
Variational circuits
- Continuous-variable quantum neural networks (2018)
- Machine learning method for state preparation and gate synthesis on photonic quantum computers (2018)
- Near-deterministic production of universal quantum photonic gates enhanced by machine learning (2018)