QuAIRKit 0.1.0 Release Note

QuAIRKit absorbs the features and semantics of Paddle Quantum v2.4.0, while making the following improvements:

Technical Improvements

• Backend Transition: transitioned the computational backend from Paddle Paddle to PyTorch, improving both stability and compatibility with existing packages.

• Modular Codebase: refactored the codebase into five discrete modules to streamline the user experience. This modular approach facilitates easier maintenance, scalability, and collaborative development.

• Batch Computation: internally supported batch computation for

  • quantum (noisy) circuit simulation;
  • expectations and measurement

Basic broadcasting rule in QuAIRKit:

Batched shape for operations	Batched shape for input states	Batched shape for output results
None	None	None
None	n	n
n	None	n
n	n	n
n	m	Error

• Pure & Mixed Auto-transition: there is no longer needed to specify the backend state_vector or density_matrix. QuAIRKit supports implicit backend transition between pure state and mixed state simulators.

Feature Rollout

• Random Seed Initialization: introduced quairkit.set_seed to initialize a random seed across all random functionals within the platform.

• Quantum computing data: Expanded the quairkit.database module with the following data:

  • phase & shift: phase and shift operators in quantum information.
  • universal_qudit: a parameterized universal qudit gate, based on parameterization with respect to Gell-Mann matrices.
  • Uf & Of: two quantum query models for Boolean functions.
  • A collection of set-based data, including:
    • std_basis & qft_basis: two quantum state bases for identity & QFT matrices, respectively.
    • bell_basis: a two-qubit Bell basis.
    • heisenberg_weyl: a set of Heisenberg-Weyl operators.
    • phase_space_point: a set of phase-space point operators in discrete phase space.
    • gell_mann: a set of Gell-Mann matrices.

• Quantum information functions: Expanded the quairkit.qinfo module with the following functions:

  • is_linear: ascertains the linearity of a given function.
  • create_matrix: constructs the matrix representation of a linear map between two vector spaces.
  • create_choi_repr: constructs the Choi representation of a linear map between two operator spaces.
  • trace_norm & p_norm: Schatten norm functions.
  • trace: Trace of input tensor along a specified axis.
  • hessian & gradient: The Hessian and general gradient of input functions.
  • decomp_1qubit & decomp_ctrl_1qubit: Decomposition of (controlled) qubit-unitary operations.

Resolved Issues

• Bug Fix: corrected various typos and inaccuracies previously present in the database.
• Controlled qubit-unitary: controlled qubit-unitary operations now require parameterization from 3 to 4 parameters.

Dependencies Update

• The minimum requirement for the Python environment has been changed to Python 3.8.
• Add pytest-xdist for unit tests.

Tutorials

Added four tutorials for feature introductions of QuAIRKit:

• circuit: quantum circuit & basic machine learning
• measure: quantum measurement
• state: quantum state
• batch: batch computation

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End of Release Notes