Quantum hardware simulator backend implementation with realistic noise modeling.

This backend simulates quantum circuits on a virtual quantum device,
incorporating various noise models to mimic real quantum hardware behavior.
It supports asynchronous job execution, job tracking, and comprehensive
result extraction including state trajectories and density matrix calculations.
The backend adheres to the QuantumBackend protocol, ensuring compatibility
with the broader QClojure framework.

The simulator backend supports predefined quantum devices with specific topologies
and noise characteristics, as well as custom configurations.
Noise models can include gate errors, readout errors, and decoherence effects,
allowing for realistic simulation of quantum algorithms under noisy conditions.

The simulator backend is stateful, managing job submissions and their execution status.
It also tracks the current device and allows for device selection.

Key Features:
- Realistic noise modeling (depolarizing, amplitude damping, phase damping, etc.)
- Asynchronous job submission and tracking
- Comprehensive result extraction (measurement results, expectation values, density matrices)
- Support for predefined quantum devices and custom configurations
- Integration with QClojure's optimization and circuit transformation pipelines
- Adherence to the QuantumBackend protocol for seamless integration

Local quantum simulator implementing the QuantumBackend protocol.

This adapter provides a local simulation of quantum circuits using
the domain layer's quantum state and circuit functionality. It serves
as both a reference implementation and a testing backend.
 
This simulator implements an ideal quantum computer without noise,
simulating quantum gates and measurements using matrix operations.
 
The simulator supports asynchronous job management, allowing
users to submit circuits and retrieve results later. It can be used
for testing algorithms, circuit designs, and quantum operations
without requiring access to actual quantum hardware.
 
It also implements the CloudQuantumBackend protocol for mock cloud
backend functionality, allowing it to be used in a cloud-like
environment for testing purposes.