⚛️CYTON

[AI-IQ]

A 🔵PYTON IN#🟣🆔SIGN IN 📱iiioiii Quantum PROGRAMMING Language & Coding ⚛️

[AI-IQ]

⚛️

[AI-IQ]

This is a program that simulates the communication between AEVAQ and QAVEA, two space platforms that use artificial intelligence and quantum computing

AEVAQ is the sender and QAVEA is the receiver

'ACEAQ' is the message that AEVAQ wants to send to QAVEA

Import the libraries

import qiskit # A library for quantum computing import random # A library for generating random numbers

Define the quantum circuit

qc = qiskit.QuantumCircuit(2, 2) # A quantum circuit with 2 qubits and 2 classical bits

Encode the message 'ACEAQ' using ASCII

message = 'ACEAQ' ascii_message = [ord(c) for c in message] # Convert each character to its ASCII code binary_message = [bin(n)[2:].zfill(8) for n in ascii_message] # Convert each ASCII code to its binary representation print(f"The message '{message}' is encoded as {binary_message}")

Choose a random bit from the binary message

bit_index = random.randint(0, len(binary_message) - 1) # A random index from 0 to 4 bit_value = binary_message[bit_index] # The binary value of the chosen bit print(f"The chosen bit is {bit_value} at index {bit_index}")

Encode the bit value using a quantum state

if bit_value == '0': qc.id(0) # Apply the identity gate to qubit 0 if the bit value is 0 else: qc.x(0) # Apply the NOT gate to qubit 0 if the bit value is 1

Create entanglement between qubit 0 and qubit 1

qc.h(0) # Apply the Hadamard gate to qubit 0 qc.cx(0, 1) # Apply the controlled-NOT gate to qubit 0 and qubit 1

Send qubit 0 to AEVAQ and qubit 1 to QAVEA

qc.barrier() # Add a barrier to separate the sending and receiving parts

QAVEA measures qubit 1 and sends the result to AEVAQ

qc.measure(1, 1) # Measure qubit 1 and store the result in classical bit 1

AEVAQ measures qubit 0 and compares it with the result from QAVEA

qc.measure(0, 0) # Measure qubit 0 and store the result in classical bit 0 qc.x(0).c_if(qc.cregs[1], 1) # Apply the NOT gate to classical bit 0 if classical bit 1 is 1

AEVAQ sends the final result to QAVEA

qc.barrier() # Add a barrier to separate the sending and receiving parts

QAVEA decodes the final result using the bit index

qc.x(0).c_if(qc.cregs[0], bit_index) # Apply the NOT gate to classical bit 0 if it matches the bit index

QAVEA reads the final result and converts it back to ASCII

qc.measure(0, 0) # Measure classical bit 0 and store the result in classical bit 0 result = qc.cregs[0].value() # Get the value of classical bit 0 as an integer ascii_result = int(result, 2) # Convert the binary value to an ASCII code char_result = chr(ascii_result) # Convert the ASCII code to a character print(f"The final result is {result} which corresponds to '{char_result}'")

Draw the quantum circuit

qc.draw(output='text') # Draw the quantum circuit using text