Quantica v0.2.0

[gurukasi-2006]

Quantica v0.2.0 - Major Engine and Language Update

This release is considered a fundamental milestone for Quantica, with significant stabilization of the core language, while introducing advanced capabilities in quantum computation, artificial intelligence, and runtime.

Highlights:

• Comprehensive class system including classes, instances, constructors (init), methods with implicit self and persistent mutable state.
• Hybrid quantum–classical runtime in which classical control logic directly governs a native quantum simulator.
• Native quantum simulator in pure Rust, introducing dynamic entanglement grouping to enable scalable qubit utilization.
• AI standard library that supports neural networks, datasets, activation functions, loss functions, and stochastic gradient descent training.

Language and Compiler Improvements:

• Correct parsing of indentation, blank lines and multi-line expressions.
• Implicit line continuation by bracket nesting.
• Two-pass compilation that allows forward references.
• Intelligent type inference with gradual typing using the Any type.
• Robust resolution of classes, methods, and fields across modules.

Type Checker Improvements:

• Reliable registration of class fields and method signatures.
• Compatibility between annotated custom types and runtime instances.
• Correctly handle dictionary vs array access.
• Automatic self-injection for methods and constructors.
• Support for multi-dimensional arrays and array concatenation.

Runtime and Memory Model:

• Migration to a shared memory model using Rc to resolve loss of object state across calls.
• Persistent mutations across constructors and method invocations.
• Elimination of brittle copy-back logic in favor of safer execution.
• Improved runtime error handling and diagnostics.

Quantum Engine Upgrades:

• Dynamic entanglement groups for mitigating exponential memory growth.
• Expanded quantum gate library including Pauli gates, rotations, the universal U gate, multi-controlled gates.
• Comprehensive support for controlled and dagger operations.
• Debugging access to quantum state amplitudes without state collapse.
• Fixes to critical simulator correctness and stability issues.

Standard Library and Built-ins:

• Graphics backend with SVG output (Canvas and basic drawing primitives).
• Support for file I/O via file_read and file_write.
• Interactive input via input().
• String parsing utilities, such as split().
• Time measurement using time().
• Native Rust Accelerators for Tensor Operations and Training Loops.

AI and Machine Learning:

• Neural networks created and trained fully in Quantica.
• Persistence of models - saving and loading.
• Hybrid tensor operator *** supporting quantum entanglement and classical matrix multiplication.
• 125× speedup in training through moving performance-critical loops to native Rust.

Critical Fixes:

• Parser recovery for class scope errors, and stray indentation tokens.
• Stability improvements to multi-line function definitions.
• Correct method lookup in classes and imported modules.
• Proper registration of built-in functions and corrected handling of dictionary types.

Quantum simulator:

• bug fixes for state update and crashes.

Summary:

Quantica has turned into a self-hosted quantum and AI programming Suite, complete with a stable object system, scalable quantum simulation, integrated AI stack, and validated real-world applications. Although it remains an experimental language, it has attained the level of robustness that makes substantive experimentation and development possible.

@gurukasi-2006

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This discussion was created from the release Quantica v0.2.0.