I have a QC based on 5 qubits. Each qubit has 2 states. Thus QC has 32 states in total. After each run, the QC will generate one state out of 32 states. After running the QC for 1024 times, we can have a histogram for how many times each state has been used.
My objective is to use machine learning to predict the histogram.
Each QC has up to 41 gates. Gates are activated one after another one in ascending sequence.
Each gate has the following attributes: gate name, gate type, control, target, angle_1, angle_2, and angle_3. The value in control and target mean the index of the qubit has this gate. '-1' means NULL.
I have 100K randomly generated QCs and their states histograms.