v0.2.1

Added

• Type Hints: Added py.typed marker for PEP 561 compliance, enabling type checkers (mypy, pyright) to recognize the package as typed when installed from PyPI.

Changed

• Python Support: Dropped Python 3.9 support, added Python 3.14 support. Now requires Python >=3.10, <3.15.

v0.2.0

Added

• TICK Command: Time slice boundary marker for temporal scheduling in MBQC patterns

  • Added TICK command type to mark boundaries between time slices
  • Integrated TICK command handling in PatternSimulator
  • Integrated TICK command processing in Stim compiler

• Edge Scheduler: Automatic entanglement operation scheduling based on node preparation times (#99)

  • Added entangle_time attribute to Scheduler for tracking entanglement operation timing
  • Added auto_schedule_entanglement() method to automatically schedule CZ gates when both nodes are prepared
  • Extended the timeline property to include entanglement operations
  • Added entanglement time validation in schedule validation
  • Added compress_schedule() function to support entanglement time compression

• Pattern: Added the depth attribute into Pattern, which represents the depth of parallel execution.

• Pattern: Added pattern resource/throughput metrics (active_volume, volume, idle_times, throughput).

• Scheduler Integration: Enhanced qompile() to support temporal scheduling with TICK commands

  • Added scheduler parameter to qompile() for custom scheduling
  • Automatically inserts TICK commands between time slices

• Examples: Added entanglement_scheduling_demo.py demonstrating edge scheduler features

• Feedforward Optimization: Added a signal_shifting method as a feedforward optimization.

  • This optimization is equivalent to the operation of the same name in the measurement calculus, and makes the measurement pattern as parallel as possible.
  • The optimization is now self-contained within the feedforward module.

• Feedforward Optimization: Added pauli_simplification() to remove redundant Pauli corrections in correction maps when measuring in Pauli bases.

Changed

• Pattern: Updated command sequence generation to support TICK commands
• Command: Extended Command type alias to include TICK
• The default strategy of Scheduler.solve_schedule is now MINIMIZE_TIME instead of MINIMIZE_SPACE for the compilation performance.

Fixed

• Scheduler: Accept entangle_time edges in either order in Scheduler.manual_schedule().

Tests

• Stim Compiler: Add coverage that manual entangle_time determines CZ time slices in both Pattern and Stim output.

v0.1.2

Added

• Graph State: Bulk initialization methods for GraphState (#120)
  • Added from_graph() class method for direct graph-based initialization
  • Added from_base_graph_state() class method for initialization from base GraphState objects
  • Improved initialization flexibility for diverse use cases

Performance

• Pauli Frame: Optimized _collect_dependent_chain method with memoization and caching
  • Added Pauli axis cache to avoid redundant basis computations
  • Implemented chain memoization cache to prevent recalculating dependent chains
  • Optimized set operations for better performance in large graph states

Tests

• Pauli Frame: Added comprehensive test suite for PauliFrame module
  • Added tests for basic methods (x_flip, z_flip, meas_flip, children, parents)
  • Added tests for Pauli axis cache initialization and chain cache memoization
  • Added tests for dependent chain collection across X, Y, Z measurement axes
  • Added tests for detector groups and logical observables
  • Improved test coverage from 77.78% to 97% for pauli_frame.py
• Graph State: Added comprehensive test suite for bulk initialization methods
  • Added tests for from_graph() initialization
  • Added tests for from_base_graph_state() initialization
  • Added tests for graph consistency and state equivalence

v0.1.1

Added

• Stim Compiler: Pattern to Stim circuit compiler with detector and observable support for fault-tolerant quantum computing (#67)
  • Compile MBQC patterns into Stim format for error correction analysis
  • Support for detectors, observables, and error models
  • Configurable depolarization noise after Clifford gates and measurements

Changed

• Pauli Frame: Extended with detector and syndrome analysis capabilities
  • Added detector_groups for detector grouping
  • Added syndrome_parity_group for syndrome extraction
  • Added parity check grouping for X and Z corrections

Fixed

• Fixed inverse flow construction to avoid self-loops
• Fixed type hints in graphstate.compose for better type safety

v0.1.0

Added

• Core Infrastructure: Initial repository setup with project structure, build system, and CI/CD workflows (#12)
• Mathematical Foundations: Euler angle computations for quantum operations (#24)
• Graph State: Graph state representation and manipulation (#34)
• Pattern Module: MBQC pattern data structures and operations (#47)
• Feedforward System: Feedforward strategy design and implementation for adaptive measurements (#40)
• Command Module: Measurement command definitions (#43)
• Qompiler: Pattern compiler with Pauli frame implementation (#55)
• Scheduler: Prepare time and measurement time scheduling for efficient execution (#74)
• Circuit Framework: Quantum gate definitions and circuit representation (#73)
• Simulation Backend: Statevector simulator backend for quantum state evolution (#62)
• Pattern and Circuit Simulation: Complete simulation support for both patterns and circuits (#78)
• Visualization: Basic visualizer for graph states and patterns (#83)
• Documentation: Comprehensive documentation on Read the Docs (https://graphqomb.readthedocs.io/)