[Unitary hack] Make a function that takes a circuit as an input and mixes it with the QPIXL input.

QPIXL/audio_processor.py

@@ -0,0 +1,163 @@
+"""
+Enhanced Audio Processing with QPIXL Circuit Integration
+
+This module provides functions for processing audio data using quantum circuits
+with sliced algorithm integration.
+"""
+
+import os
+import numpy as np
+import soundfile
+from itertools import chain
+from typing import Optional, Callable, Dict, Union, List
+
+import qiskit
+from qiskit import QuantumCircuit
+from qiskit_aer import Aer
+
+import QPIXL.helper as hlp
+from QPIXL.qiskit.qpixl import cFRQI
+from QPIXL.qiskit.qpixl_angs import cFRQIangs, decodeAngQPIXL
+from QPIXL.qpixl_integrator import CircuitIntegrator, IntegrationMode, QPIXLAlgorithmEncoder
+
+
+def process_audio_with_slices(
+    input_file: str,
+    output_dir: str,
+    algorithm_circuit: QuantumCircuit,
+    slice_size: int = 3,
+    insertion_rule: str = 'interval',
+    interval: int = 8,
+    connection_rule: str = 'cx',
+    connection_map: Optional[Dict[int, int]] = None,
+    compression: int = 0,
+    tag: str = "",
+) -> None:
+    """
+    Process audio with sliced quantum algorithm integration.
+
+    Args:
+        input_file: Path to the input audio file
+        output_dir: Directory to save processed audio
+        algorithm_circuit: Algorithm circuit to slice and interleave
+        slice_size: Number of gates per slice
+        insertion_rule: Rule for where to insert slices ('interval', 'angles', 'custom')
+        interval: Insert a slice every N loop iterations (if insertion_rule='interval')
+        connection_rule: How to connect circuits ('cx', 'cz', 'swap')
+        connection_map: Dictionary mapping data qubits to algorithm qubits
+        compression: Compression level (0-100)
+        tag: Tag to append to output files
+    """
+    os.makedirs(output_dir, exist_ok=True)
+    file_name, _ = os.path.splitext(os.path.basename(input_file))
+    metadata_file_path = os.path.join(
+        output_dir, f"{file_name}_metadata_{tag}_c{compression}.txt"
+    )
+
+    if not os.path.exists(metadata_file_path):
+        data, samplerate = soundfile.read(input_file)
+        chunk_size = 512
+        sections = [
+            hlp.pad_0(data[i : i + chunk_size]) for i in range(0, len(data), chunk_size)
+        ][:-1]  
+
+        decoded = []
+        encoder = QPIXLAlgorithmEncoder()
+
+        for index, section in enumerate(sections):
+            print(
+                f"Processing {file_name} chunk: {index + 1}/{len(sections)}", end="\r"
+            )
+
+            normalized_section = section - np.min(section)
+
+            qc = encoder.create_sliced_circuit(
+                normalized_section,
+                algorithm_circuit,
+                compression=compression,
+                slice_size=slice_size,
+                insertion_rule=insertion_rule,
+                interval=interval,
+                connection_rule=connection_rule,
+                connection_map=connection_map,
+                algorithm_qubits=algorithm_circuit.num_qubits
+            )
+
+            backend = Aer.get_backend('statevector_simulator')
+            job = backend.run(qc)
+            state_vector = np.real(job.result().get_statevector())
+
+            decoded.append(
+                decodeAngQPIXL(
+                    state=state_vector,
+                    qc=qc,
+                    trace=algorithm_circuit.num_qubits,  # Trace out algorithm qubits
+                    max_pixel_val=section.max(),
+                    min_pixel_val=section.min(),
+                )
+            )
+
+        decoded_full = np.array(list(chain.from_iterable(decoded)))
+        soundfile.write(
+            os.path.join(output_dir, f"{file_name}_output_{tag}_c{compression}.wav"),
+            decoded_full,
+            samplerate,
+        )
+
+        with open(metadata_file_path, 'w') as f:
+            f.write(f"Original file: {input_file}\n")
+            f.write(f"Compression: {compression}%\n")
+            f.write(f"Slice size: {slice_size}\n")
+            f.write(f"Insertion rule: {insertion_rule}\n")
+            f.write(f"Connection rule: {connection_rule}\n")
+
+
+def create_algorithm_circuit(circuit_type: str, num_qubits: int = 3, **params) -> QuantumCircuit:
+    """
+    Create a simple algorithm circuit for demonstration.
+
+    Args:
+        circuit_type: Type of circuit ('hadamard', 'qaoa', 'qft', 'custom')
+        num_qubits: Number of qubits
+        **params: Additional parameters
+
+    Returns:
+        A quantum circuit
+    """
+    circuit = QuantumCircuit(num_qubits)
+
+    if circuit_type == 'hadamard':
+        for i in range(num_qubits):
+            circuit.h(i)
+
+    elif circuit_type == 'qaoa':
+        angle = params.get('angle', np.pi/4)
+        for i in range(num_qubits):
+            circuit.h(i)
+        for i in range(num_qubits-1):
+            circuit.cx(i, i+1)
+            circuit.rz(angle, i+1)
+            circuit.cx(i, i+1)
+        for i in range(num_qubits):
+            circuit.rx(angle, i)
+
+    elif circuit_type == 'qft':
+        for i in range(num_qubits):
+            circuit.h(i)
+            for j in range(i+1, num_qubits):
+                circuit.cp(np.pi/float(2**(j-i)), i, j)
+
+    elif circuit_type == 'custom':
+        gates = params.get('gates', [])
+        for gate in gates:
+            name = gate.get('name', '')
+            qubits = gate.get('qubits', [0])
+            params = gate.get('params', {})
+
+            if hasattr(circuit, name):
+                if params:
+                    getattr(circuit, name)(params.get('angle', 0), *qubits)
+                else:
+                    getattr(circuit, name)(*qubits)
+
+    return circuit