Psi-MCP: Advanced Quantum Systems MCP Server

""" Quantum Circuit Operations Module This module provides comprehensive quantum circuit creation, manipulation, simulation, and optimization functionality. """ import logging from typing import Dict, Any, List, Optional, Union, Tuple import asyncio import json import numpy as np logger = logging.getLogger(__name__) class QuantumCircuitManager: """Manager for quantum circuit operations across different backends.""" def __init__(self): self.circuits = {} self.circuit_counter = 0 def generate_circuit_id(self) -> str: """Generate unique circuit ID.""" self.circuit_counter += 1 return f"circuit_{self.circuit_counter}" # Global circuit manager circuit_manager = QuantumCircuitManager() async def create_circuit( num_qubits: int, circuit_type: str = "empty", backend: str = "qasm_simulator" ) -> Dict[str, Any]: """ Create a quantum circuit with specified parameters. Args: num_qubits: Number of qubits circuit_type: Type of circuit ('empty', 'bell', 'ghz', 'random', 'qft') backend: Backend to target Returns: Dictionary with circuit information """ logger.info(f"Creating {circuit_type} circuit with {num_qubits} qubits for {backend}") try: # Import based on backend if 'qiskit' in backend.lower(): return await _create_qiskit_circuit(num_qubits, circuit_type, backend) elif 'cirq' in backend.lower(): return await _create_cirq_circuit(num_qubits, circuit_type, backend) elif 'pennylane' in backend.lower(): return await _create_pennylane_circuit(num_qubits, circuit_type, backend) else: # Default to Qiskit return await _create_qiskit_circuit(num_qubits, circuit_type, 'qasm_simulator') except Exception as e: logger.error(f"Error creating circuit: {e}") raise async def _create_qiskit_circuit(num_qubits: int, circuit_type: str, backend: str) -> Dict[str, Any]: """Create circuit using Qiskit.""" from qiskit import QuantumCircuit, ClassicalRegister # Create base circuit qc = QuantumCircuit(num_qubits, num_qubits) circuit_id = circuit_manager.generate_circuit_id() # Add gates based on circuit type if circuit_type == "bell": if num_qubits < 2: raise ValueError("Bell state requires at least 2 qubits") qc.h(0) qc.cx(0, 1) elif circuit_type == "ghz": if num_qubits < 2: raise ValueError("GHZ state requires at least 2 qubits") qc.h(0) for i in range(1, num_qubits): qc.cx(0, i) elif circuit_type == "qft": # Quantum Fourier Transform for i in range(num_qubits): qc.h(i) for j in range(i+1, num_qubits): qc.cp(np.pi/2**(j-i), i, j) # Swap qubits for i in range(num_qubits//2): qc.swap(i, num_qubits-1-i) elif circuit_type == "random": # Random circuit np.random.seed(42) # For reproducibility for _ in range(num_qubits * 3): qubit = np.random.randint(0, num_qubits) gate = np.random.choice(['h', 'x', 'y', 'z', 's', 't']) getattr(qc, gate)(qubit) # Add some random CNOT gates for _ in range(num_qubits): control = np.random.randint(0, num_qubits) target = np.random.randint(0, num_qubits) if control != target: qc.cx(control, target) # Store circuit circuit_info = { 'id': circuit_id, 'num_qubits': num_qubits, 'type': circuit_type, 'backend': backend, 'depth': qc.depth(), 'gate_count': len(qc.data), 'qasm': qc.qasm() } circuit_manager.circuits[circuit_id] = { 'circuit': qc, 'info': circuit_info } return circuit_info async def _create_cirq_circuit(num_qubits: int, circuit_type: str, backend: str) -> Dict[str, Any]: """Create circuit using Cirq.""" import cirq # Create qubits qubits = [cirq.GridQubit(0, i) for i in range(num_qubits)] circuit = cirq.Circuit() circuit_id = circuit_manager.generate_circuit_id() # Add gates based on circuit type if circuit_type == "bell": if num_qubits < 2: raise ValueError("Bell state requires at least 2 qubits") circuit.append(cirq.H(qubits[0])) circuit.append(cirq.CNOT(qubits[0], qubits[1])) elif circuit_type == "ghz": if num_qubits < 2: raise ValueError("GHZ state requires at least 2 qubits") circuit.append(cirq.H(qubits[0])) for i in range(1, num_qubits): circuit.append(cirq.CNOT(qubits[0], qubits[i])) # Store circuit circuit_info = { 'id': circuit_id, 'num_qubits': num_qubits, 'type': circuit_type, 'backend': backend, 'depth': len(circuit), 'gate_count': len(list(circuit.all_operations())) } circuit_manager.circuits[circuit_id] = { 'circuit': circuit, 'qubits': qubits, 'info': circuit_info } return circuit_info async def _create_pennylane_circuit(num_qubits: int, circuit_type: str, backend: str) -> Dict[str, Any]: """Create circuit using PennyLane.""" import pennylane as qml circuit_id = circuit_manager.generate_circuit_id() # Create device dev = qml.device('default.qubit', wires=num_qubits) # Define circuit function based on type if circuit_type == "bell": if num_qubits < 2: raise ValueError("Bell state requires at least 2 qubits") @qml.qnode(dev) def bell_circuit(): qml.Hadamard(wires=0) qml.CNOT(wires=[0, 1]) return qml.state() circuit_func = bell_circuit elif circuit_type == "ghz": if num_qubits < 2: raise ValueError("GHZ state requires at least 2 qubits") @qml.qnode(dev) def ghz_circuit(): qml.Hadamard(wires=0) for i in range(1, num_qubits): qml.CNOT(wires=[0, i]) return qml.state() circuit_func = ghz_circuit else: # Empty circuit @qml.qnode(dev) def empty_circuit(): return qml.state() circuit_func = empty_circuit # Store circuit circuit_info = { 'id': circuit_id, 'num_qubits': num_qubits, 'type': circuit_type, 'backend': backend, 'framework': 'pennylane' } circuit_manager.circuits[circuit_id] = { 'circuit': circuit_func, 'device': dev, 'info': circuit_info } return circuit_info async def simulate_circuit( circuit_definition: str, shots: int = 1024, backend: str = "qasm_simulator", timeout: int = 300 ) -> Dict[str, Any]: """ Simulate a quantum circuit and return results. Args: circuit_definition: Circuit ID or QASM string shots: Number of measurement shots backend: Simulation backend timeout: Execution timeout Returns: Simulation results """ logger.info(f"Simulating circuit with {shots} shots on {backend}") try: # Check if it's a circuit ID if circuit_definition in circuit_manager.circuits: circuit_data = circuit_manager.circuits[circuit_definition] return await _simulate_stored_circuit(circuit_data, shots, backend, timeout) else: # Try to parse as QASM return await _simulate_qasm_circuit(circuit_definition, shots, backend, timeout) except Exception as e: logger.error(f"Error simulating circuit: {e}") raise async def _simulate_stored_circuit( circuit_data: Dict[str, Any], shots: int, backend: str, timeout: int ) -> Dict[str, Any]: """Simulate a stored circuit.""" circuit = circuit_data['circuit'] info = circuit_data['info'] if 'qiskit' in info.get('backend', '').lower(): return await _simulate_qiskit_circuit(circuit, shots, backend, timeout) elif 'cirq' in info.get('backend', '').lower(): return await _simulate_cirq_circuit(circuit, circuit_data['qubits'], shots, timeout) elif 'pennylane' in info.get('framework', '').lower(): return await _simulate_pennylane_circuit(circuit, shots, timeout) else: raise ValueError(f"Unsupported circuit framework: {info}") async def _simulate_qiskit_circuit(circuit, shots: int, backend_name: str, timeout: int) -> Dict[str, Any]: """Simulate Qiskit circuit.""" from qiskit import transpile, execute from quantum import get_backend # Add measurements if not present if not any(isinstance(instr.operation, type(circuit.measure)) for instr in circuit.data): circuit.add_register(circuit.cregs[0] if circuit.cregs else circuit.add_register(circuit.num_qubits)) circuit.measure_all() # Get backend backend = get_backend(backend_name) # Transpile and execute transpiled_circuit = transpile(circuit, backend) job = execute(transpiled_circuit, backend, shots=shots) result = job.result() # Extract results counts = result.get_counts() return { 'counts': dict(counts), 'shots': shots, 'success': True, 'execution_time': getattr(result, 'time_taken', 0), 'backend': backend_name } async def _simulate_cirq_circuit(circuit, qubits, shots: int, timeout: int) -> Dict[str, Any]: """Simulate Cirq circuit.""" import cirq # Add measurements circuit.append(cirq.measure(*qubits, key='result')) # Run simulation simulator = cirq.Simulator() result = simulator.run(circuit, repetitions=shots) # Process results measurements = result.measurements['result'] counts = {} for measurement in measurements: bitstring = ''.join(str(bit) for bit in measurement) counts[bitstring] = counts.get(bitstring, 0) + 1 return { 'counts': counts, 'shots': shots, 'success': True, 'backend': 'cirq_simulator' } async def _simulate_pennylane_circuit(circuit_func, shots: int, timeout: int) -> Dict[str, Any]: """Simulate PennyLane circuit.""" # Execute circuit state = circuit_func() # Convert to counts (simplified) probabilities = np.abs(state) ** 2 counts = {} # Sample from probabilities for i, prob in enumerate(probabilities): if prob > 1e-10: # Only include significant probabilities bitstring = format(i, f'0{int(np.log2(len(probabilities)))}b') counts[bitstring] = int(prob * shots) return { 'counts': counts, 'shots': shots, 'success': True, 'state': state.tolist() if hasattr(state, 'tolist') else str(state), 'backend': 'pennylane' } async def optimize_circuit( circuit_definition: str, optimization_level: int = 1, target_backend: str = "qasm_simulator" ) -> Dict[str, Any]: """ Optimize a quantum circuit for better performance. Args: circuit_definition: Circuit ID or definition optimization_level: Optimization level (0-3) target_backend: Target backend for optimization Returns: Optimization results """ logger.info(f"Optimizing circuit with level {optimization_level} for {target_backend}") try: if circuit_definition in circuit_manager.circuits: circuit_data = circuit_manager.circuits[circuit_definition] return await _optimize_stored_circuit(circuit_data, optimization_level, target_backend) else: return await _optimize_qasm_circuit(circuit_definition, optimization_level, target_backend) except Exception as e: logger.error(f"Error optimizing circuit: {e}") raise async def _optimize_stored_circuit( circuit_data: Dict[str, Any], optimization_level: int, target_backend: str ) -> Dict[str, Any]: """Optimize a stored circuit.""" from qiskit import transpile from quantum import get_backend circuit = circuit_data['circuit'] original_depth = circuit.depth() original_gates = len(circuit.data) # Get target backend backend = get_backend(target_backend) # Transpile with optimization optimized_circuit = transpile( circuit, backend=backend, optimization_level=optimization_level ) # Generate new circuit ID for optimized version optimized_id = circuit_manager.generate_circuit_id() # Store optimized circuit optimized_info = { 'id': optimized_id, 'num_qubits': optimized_circuit.num_qubits, 'type': circuit_data['info']['type'] + '_optimized', 'backend': target_backend, 'depth': optimized_circuit.depth(), 'gate_count': len(optimized_circuit.data), 'optimization_level': optimization_level, 'original_id': circuit_data['info']['id'] } circuit_manager.circuits[optimized_id] = { 'circuit': optimized_circuit, 'info': optimized_info } return { 'optimized_circuit_id': optimized_id, 'original_depth': original_depth, 'optimized_depth': optimized_circuit.depth(), 'original_gates': original_gates, 'optimized_gates': len(optimized_circuit.data), 'depth_reduction': original_depth - optimized_circuit.depth(), 'gate_reduction': original_gates - len(optimized_circuit.data), 'optimization_level': optimization_level, 'success': True } async def get_circuit_info(circuit_id: str) -> Dict[str, Any]: """Get information about a stored circuit.""" if circuit_id not in circuit_manager.circuits: raise ValueError(f"Circuit {circuit_id} not found") return circuit_manager.circuits[circuit_id]['info'] async def list_circuits() -> List[Dict[str, Any]]: """List all stored circuits.""" return [data['info'] for data in circuit_manager.circuits.values()]