#Thought some translation might help a few scientists looking at advancing the prospects in their research, Good sallet chaps!
# adi-protocol_Atomtronic-RingLaser.py
# This module defines the communication protocol and data handling functions
# for the simulated atomtronic system. It also includes a simplified
# mixed-signal bridge to model the VHDL-AMS logic.
import socket
import struct
import json
import numpy as np
import time
# --- Operation Constants (for interoperability) ---
OPERATION_RING_LASER_GYRO = 1
# --- Mixed-Signal Bridge (Simulating VHDL-AMS) ---
def simulate_dac_adc_bridge(digital_data, noisy_physics_model_func, *args, **kwargs):
"""
Simulates the VHDL-AMS bridge, converting digital data to an analog signal
that drives a physical model, then converting the result back to digital.
Args:
digital_data (np.ndarray): The digital input signal (e.g., a sequence of pulse durations).
noisy_physics_model_func (function): A function that simulates the physical system.
*args, **kwargs: Arguments to pass to the physics model function.
Returns:
np.ndarray: The simulated digital output data after passing through the
physical system and the ADC.
"""
print("Bridge: Converting digital command to analog signal (DAC)...")
# Simulate the DAC: a simple linear conversion
analog_signal = digital_data.astype(np.float64)
print("Bridge: Running physical simulation with analog signal...")
# Run the physics model with the analog signal
# This step represents the interaction with the real atomtronic system
analog_result = noisy_physics_model_func(analog_signal, *args, **kwargs)
print("Bridge: Converting analog result back to digital (ADC)...")
# Simulate the ADC: adds quantization noise and converts back to digital
# We use a simple rounding to simulate quantization
digital_output = np.round(analog_result).astype(np.int32)
return digital_output
# --- Helper functions for data transmission (Reused from original suite) ---
def send_data(conn, operation_type, data):
"""
Sends structured data over a socket.
The function first packs the data and a header into a JSON object,
then sends the JSON size and the JSON itself. Following the JSON, it
sends any associated binary data (e.g., from numpy arrays).
Args:
conn (socket.socket): The socket to send data through.
operation_type (int): The type of operation being requested.
data (dict): A dictionary containing 'result' or other data to send.
"""
binary_data = b''
data_pointers = {}
for key, val in data.items():
if isinstance(val, np.ndarray):
array_bytes = val.astype(np.float32).tobytes()
data_pointers[key] = {
"offset": len(binary_data),
"length": len(array_bytes),
"dtype": str(val.dtype),
"shape": val.shape
}
binary_data += array_bytes
else:
data_pointers[key] = val
json_header = {
"operation": operation_type,
"data_pointers": data_pointers,
"total_binary_size": len(binary_data)
}
json_header_bytes = json.dumps(json_header).encode('utf-8')
header_size = struct.pack('!I', len(json_header_bytes))
conn.sendall(header_size)
conn.sendall(json_header_bytes)
conn.sendall(binary_data)
def receive_data(conn):
"""
Receives structured data from a socket.
The function first receives the JSON header size, then the JSON header itself,
and finally the binary payload. It reassembles the data based on the pointers.
Args:
conn (socket.socket): The socket to receive data from.
Returns:
tuple: A tuple containing the JSON header and the raw binary data.
"""
try:
header_size_bytes = conn.recv(4)
if not header_size_bytes:
return None, None
header_size = struct.unpack('!I', header_size_bytes)[0]
json_header_bytes = b''
while len(json_header_bytes) < header_size:
chunk = conn.recv(header_size - len(json_header_bytes))
if not chunk:
return None, None
json_header_bytes += chunk
json_header = json.loads(json_header_bytes.decode('utf-8'))
total_binary_size = json_header.get("total_binary_size", 0)
binary_payload = b''
while len(binary_payload) < total_binary_size:
chunk = conn.recv(total_binary_size - len(binary_payload))
if not chunk:
return None, None
binary_payload += chunk
return json_header, binary_payload
except (json.JSONDecodeError, struct.error, ConnectionResetError) as e:
print(f"Error receiving data: {e}")
return None, None
# atomtronic-server.py
# This program simulates the atomtronic hardware. It acts as a server that
# receives digital commands, runs a physics simulation, and sends back
# the measurement data.
import socket
import numpy as np
import time
import struct
import random
# Import the protocol and mixed-signal bridge
from adi_protocol import receive_data, send_data, simulate_dac_adc_bridge, OPERATION_RING_LASER_GYRO
# --- Simulated Atomtronic Physics ---
def simulate_ring_laser_gyro(analog_dither_signal, rotation_rate, noise_level=0.1):
"""
Simulates the physics of a ring laser gyroscope.
It models the Sagnac effect (frequency shift proportional to rotation rate),
simulated lock-in at low rates, and adds a small amount of random noise.
The dither signal is used to break the lock-in.
Args:
analog_dither_signal (np.ndarray): The analog dither signal from the DAC.
rotation_rate (float): The simulated physical rotation rate in rad/s.
noise_level (float): The level of random noise to add.
Returns:
np.ndarray: The simulated raw measurement from the photodetector.
"""
print(f"Simulating ring laser gyro with rotation rate: {rotation_rate} rad/s")
# Sagnac effect: The core physics. Frequency shift is proportional to rotation.
sagnac_freq_shift = rotation_rate * 1000.0 # Arbitrary scale factor for simulation
# Lock-in: At low rotation rates, the two beams lock to the same frequency.
lock_in_threshold = 0.05
if abs(sagnac_freq_shift) < lock_in_threshold:
print("Warning: Simulating lock-in. Dither is required.")
# If locked-in, the output frequency is zero unless dithered
measured_signal = np.zeros_like(analog_dither_signal)
else:
# Without lock-in, the measured signal is the Sagnac shift
measured_signal = np.full_like(analog_dither_signal, sagnac_freq_shift)
# Dithering: The analog signal from the DAC breaks the lock-in
# This is a conceptual model of how the dither signal affects the system
measured_signal += analog_dither_signal * 0.5 # Dither contributes to the signal
# Add random measurement noise
noise = np.random.normal(0, noise_level, measured_signal.shape)
measured_signal += noise
return measured_signal
# --- Main Server Logic ---
def start_server(host, port):
"""
Starts the server to listen for and handle client requests.
"""
server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server_socket.bind((host, port))
server_socket.listen(1)
print(f"Server simulating atomtronic system, listening on {host}:{port}")
while True:
client_socket, addr = server_socket.accept()
print(f"Connection from {addr}")
try:
# Step 1: Receive the digital command from the client
header, binary_data = receive_data(client_socket)
if header is None:
continue
operation = header.get("operation")
if operation == OPERATION_RING_LASER_GYRO:
print("Received command for Ring-Laser Gyro.")
# Unpack the digital command (dither signal and rotation rate)
dither_signal = np.frombuffer(binary_data, dtype=np.float32)
# The rotation rate is a parameter sent in the header
rotation_rate = header["data_pointers"]["rotation_rate"]
# Step 2: Simulate the mixed-signal bridge and the physical process
# The server is the "physical" side, so it calls the bridge
digital_measurement = simulate_dac_adc_bridge(
dither_signal,
simulate_ring_laser_gyro,
rotation_rate=rotation_rate
)
# Step 3: Send the digital measurement back to the client
print("Sending simulated digital measurement back to client.")
send_data(client_socket, operation, {"measurement": digital_measurement})
else:
print(f"Unknown operation: {operation}")
except (ConnectionResetError, BrokenPipeError):
print(f"Client {addr} forcibly closed the connection.")
except Exception as e:
print(f"An unexpected error occurred: {e}")
finally:
client_socket.close()
print(f"Connection with client {addr} closed.")
if __name__ == "__main__":
SERVER_HOST = '127.0.0.1'
SERVER_PORT = 12345
start_server(SERVER_HOST, SERVER_PORT)
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