From e3b0bbce241d8b3adc7e0047508b18b74f4c0461 Mon Sep 17 00:00:00 2001
From: anastasiaangelo <145339311+anastasiaangelo@users.noreply.github.com>
Date: Thu, 30 May 2024 11:30:14 +0200
Subject: [PATCH] gorund state rep

---
 Ising_mixerXY.py | 14 ++++++++------
 1 file changed, 8 insertions(+), 6 deletions(-)

diff --git a/Ising_mixerXY.py b/Ising_mixerXY.py
index 2f335f3f..5829b2f1 100644
--- a/Ising_mixerXY.py
+++ b/Ising_mixerXY.py
@@ -10,7 +10,7 @@
 from copy import deepcopy
 
 num_rot = 2
-file_path = "RESULTS/XY-QAOA/5res-2rot.csv"
+file_path = "RESULTS/XY-QAOA/10res-2rot.csv"
 file_path_depth = "RESULTS/Depths/XY-QAOA/4res-2rot.csv"
 
 ########################### Configure the hamiltonian from the values calculated classically with pyrosetta ############################
@@ -336,7 +336,7 @@ def calculate_bitstring_energy(bitstring, hamiltonian, backend=None):
 
 
 sorted_bitstrings = sorted(all_bitstrings.items(), key=lambda x: x[1]['energy'])
-ground_state_repetition = sorted_bitstrings[0][1]['index']
+# ground_state_repetition = sorted_bitstrings[0][1]['index']
 
 print("Best Measurement:", best_measurement)
 print("Sorted Bitstrings: ")
@@ -355,8 +355,9 @@ def calculate_bitstring_energy(bitstring, hamiltonian, backend=None):
             "Execution Time (seconds)": [elapsed_time1],
             "Number of qubits": [num_qubits],
             "shots": [options['shots']],
-            "Fraction of bitstrings that satisfy the Hamming constraint": [fraction_satisfying_hamming],
-            "Iteration Ground State": [ground_state_repetition]
+            "Fraction": [fraction_satisfying_hamming],
+            # "Iteration Ground State": [ground_state_repetition],
+            "Sorted Bitstrings": [sorted_bitstrings]
         }
         found = True
         break
@@ -371,8 +372,9 @@ def calculate_bitstring_energy(bitstring, hamiltonian, backend=None):
         "Execution Time (seconds)": [elapsed_time1],
         "Number of qubits": [num_qubits],
         "shots": [options['shots']],
-        "Fraction of bitstrings that satisfy the Hamming constraint": [fraction_satisfying_hamming],
-        "Iteration Ground State": [ground_state_repetition]
+        "Fraction": [fraction_satisfying_hamming],
+        # "Iteration Ground State": [ground_state_repetition],
+        "Sorted Bitstrings": [sorted_bitstrings]
     }
 
 df = pd.DataFrame(data)