Usage

Quick Start

1. Import the necessary libraries:

   Import the essential libraries for quantum computing and set your OpenAI API key.

   
   import cirq
   import qiskit
   import pennylane as qml
   from pyquil import Program
   
   # Set your OpenAI API key
   openai.api_key = "<YOUR_OPENAI_API_KEY>"

2. Translate Myanmar Instruction to Quantum Code:

   The following function translates a given quantum instruction in Myanmar language to its equivalent quantum computing code using frameworks like Cirq, Qiskit, etc.

   
       response = openai.Completion.create(
           engine="text-davinci-003",
           prompt=f"Translate the following instruction in Myanmar language to a Quantum Computing code snippet (Cirq, Qiskit, etc.): {myanmar_instruction}",
           max_tokens=300,
           temperature=0.5,
           n=1,
           stop=None,
       )
       code = response.choices[0].text.strip()
       return code

3. Execute Quantum Code:

   This function allows users to execute the translated quantum code in Python without displaying the code execution details.

   
       try:
           exec_globals = {}
           exec_locals = {}
           exec(code, exec_globals, exec_locals)
           
           result = exec_locals.get('result', 'Output not available')
           return str(result)
       except Exception as e:
           return f"Error in execution: {str(e)}"

Sample Workflow

1. Translate and Execute a CNOT Gate Instruction:

   pythonCopy codemyanmar_instruction = "CNOT gate ကို အသုံးပြု၍ Qubit နှစ်ခုမှာ Quantum Gate operation တစ်ခု ဖန်တီးပါ။"
   code = translate_myanmar_to_code(myanmar_instruction)
   print("Translated Code:", code)
   result = execute_quantum_code_without_showing(code)
   print("Execution Result:", result)

2. Translate and Execute a Hadamard Gate Instruction:

   pythonCopy codemyanmar_instruction = "Hadamard Gate ကို အသုံးပြု၍ Qubit တစ်ခုကို Superposition များအဖြစ် ဖန်တီးပါ။"
   code = translate_myanmar_to_code(myanmar_instruction)
   print("Translated Code:", code)
   result = execute_quantum_code_without_showing(code)
   print("Execution Result:", result)