Quantum Computing and Quantum Machine Learning

Quantum machine learning is machine learning algorithms for quantum computers.

• García et al 2022 - Systematic Literature Review: Quantum Machine Learning and its Applications
• Quantum Algorithms for Data Analysis Book Ch 6 - Quantum Perceptron

• Quantum Machine Learning
  • Wiebe et al 2016 - Quantum Perceptron Models
  • Tacchino et al 2019 - An artificial neuron implemented on an actual quantum processor pdf
  • Wiersema & Kappen 2019 - Implementing perceptron models with qubits
  • Ban et al 2021 - Speeding up quantum perceptron via shortcuts to adiabaticity pdf
  • Roget et al 2021 - Quantum Perceptron Revisited: Computational-Statistical Tradeoffs
• Optimization
• Quantum Neural Networks
• HMMs and Graphical Models
  • Grice & Meyer 2015 - A quantum algorithm for Viterbi decoding of classical convolutional codes
  • Srinivasan et al 2018 - Learning Hidden Quantum Markov Models
• Natural Language Processing
  • Coecke et al 2020 - Foundations for Near-Term Quantum Natural Language Processing
• Quantum Transformer Models
  • Khatri et al 2024 - Quixer: A Quantum Transformer Model
• Quantum Learning Theory

See Sec 3.3 of García 2022.

• Hardware
  • IBM: IBM Quantum Access to IBM's experimental quantum computer
  • Amazon Braket Access to a number of experimental quantum processing units such as D-Wave, IonQ and Rigetti, as well as three proprietary simulators (SV1, DM1, and TN1).
• Software
  • TensorFlow Quantum (TFQ)