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parameter-shift-rule

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gianniskts / Quantum-Machine-Learning

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This project involves simulating a quantum classifier using a variational quantum circuit for binary classification problems. It is divided into three main parts, each contributing to the total project credits.

quantum-computing binary-classification quantum-machine-learning quantum-simulation bloch-sphere quantum-neural-networks variational-quantum-circuit quantum-optimization quantum-classifier parity-problem quantum-cost-function parameter-shift-rule python-quantum-programming
  • Updated Jul 1, 2024
  • Jupyter Notebook

tatopenn-cell / Dense-Evolution-Discovery

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Empirical quantum simulation experiments and robustness studies on Dense Evolution (JAX/XLA statevector simulator): Ising phase transitions, VQE, error mitigation, and a critical replication study of the traversable-wormhole SYK teleportation protocol (arXiv:2604.10090).

tight-binding quantum-computing jax error-mitigation physics-informed-ml parameter-shift-rule statevector-simulation vqe-t transverse-field-ising
  • Updated Aug 7, 2026
  • Python

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