Return code: 0
Duration: 332.5s

=== STDOUT ===
🚀 Running coder
📦 Dynamic packages: clingo
🤖 Creating agent with model: anthropic/claude-sonnet-4.5
🤖 Using model: anthropic/claude-sonnet-4.5
  python_exec: print("Task planning complete. Starting implementa...
  python_exec: defining function solve_quantum_circuit()
  python_exec: defining function solve_quantum_circuit_v2()
  python_exec: defining function solve_quantum_circuit_v3()
  python_exec: print("2x4 Grid Topology:")
  python_exec: defining function solve_quantum_circuit_final()
  python_exec: defining function solve_quantum_circuit_final()
  python_exec: defining function solve_quantum_circuit_corrected()
  python_exec: print("Verifying solution:")
  python_exec: defining function solve_quantum_circuit_v4()
  save_code: {'code': 'import clingo\nimpor...
  python_exec: executing file 043_quantum_circuit_hard_task_code.py
  report_issue: {'text': 'All is fine - no iss...

Perfect! I have successfully completed the quantum circuit compilation task     
using Answer Set Programming.                                                   


                                    Summary                                     

The solution uses ASP with the clingo API to schedule quantum gates on an       
8-qubit system with a 2x4 grid topology. The key achievements are:              

✅ Circuit depth: 3 (matches expected optimal) ✅ SWAP gates: 1 (matches        
expected optimal) ✅ All constraints satisfied:                                 

 • Topology constraints (gates only on adjacent qubits)                         
 • Gate dependencies (toffoli after cnot_q4_q5)                                 
 • No qubit conflicts (each qubit used by at most one operation per time step)  
 • Complete schedule (all 6 gates executed exactly once)                        

The solution correctly models:                                                  

 1 Qubit position tracking over time using fluents                              
 2 SWAP operations that exchange logical qubit positions                        
 3 Frame axioms for position persistence                                        
 4 Adjacency constraints for multi-qubit gates                                  
 5 Conflict prevention to ensure valid parallel execution                       

The final schedule efficiently parallelizes gates while using a single SWAP to  
enable the cnot_q0_q2 gate that requires non-adjacent qubits.                   

==================================================
📊 Execution Statistics
==================================================

🔧 Tool Usage:
  python_exec           11 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        452,574
  Output tokens:       21,347
  Total tokens:        473,921

⏱️  Execution time: 5m 31.1s
==================================================


=== STDERR ===
<block>:36:46-47: error: syntax error, unexpected @

<block>:48:43-44: error: syntax error, unexpected @

<block>:50:43-44: error: syntax error, unexpected @

