Paddle Quantum 2.1.0

Release Note

Tutorials

• Reorganize tutorials according to applications and research areas:

  • Combinatorial Optimization
  • LOCCNet
  • Machine Learning
  • QNN Research
  • Quantum Simulation

• Add five new tutorials:

  • Large-scale QAOA via Divide-and-Conquer
  • Encoding Classical Data into Quantum States
  • Travelling Salesman Problem
  • Quantum Kernel Methods
  • Variational Shadow Quantum Learning

New Features

• Add two new types of noise models: reset and thermal_relaxation.
• Add four kinds of encoding methods, such that classical data can be encoded into quantum data via encoding functions: basis_encoding, amplitude_encoding, angle_encoding, iqp_encoding. For more information about encoding, please refer to our encoding tutorial.
• Add three two-qubit parameterized gates: rxx, ryy, rzz and two-qubit Mølmer–Sørensen gate (the native gate on ion-trap systems).
• Add circuit drawer. The quantum circuit could be printed directly via print(cir).