Calculate

 It might well be easier for me to do this manually but - Hello - this is

the computer age and I'm going for reusable code. This is the problem:

You

I have 13 results for 4 qubits in pairs. Each qubit could be either 1 or 0. Can 

python batch process the binomial probability on these?

Copilot

Yes, Python can batch process the binomial probability for your 13 results of 4 qubits. 

Here’s a sample code snippet to help you get started:

from scipy.stats import binom

# Number of trials (4 qubits)
n = 4
# Probability of success on a single trial (assuming equal probability for 0 and 1)
p = 0.5

# List of results (pairs of qubits)
results = [
    (0, 1, 0, 1),
    (1, 0, 1, 0),
    (1, 1, 0, 0),
    # Add the rest of your results here
]

# Calculate binomial probabilities for each result
probabilities = []
for result in results:
    k = sum(result)  # Number of successes (1s) in the result
    prob = binom.pmf(k, n, p)
    probabilities.append(prob)

# Print the results
for result, prob in zip(results, probabilities):
    print(f'Result: {result}, P(X={sum(result)}) = {prob:.4f}')

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