I'm just getting started in the space of quantum computing, I've built a 5 qubit program for Bernstein-Vazirani, but am trying to figure out how to go about building an N bit version of Bernstein-Vazirani, and/ or Grover's algorithm given only 5 qubits to work with. I'm currently working in the Bioinformatics field, and for my work I thought it would be a good idea to use Bernstein Vazirani or Grover's to guess/ brute force genomes. If not any suggestions with source code is much appreciated.
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As mentionned by Michele, with qiskit Aqua algorithms you can easily implement Grover or BV. Here below an example of BV algorithm. Note that the number of qubits is directly related to the size of the hidden number (and so the size of the Oracle). You can easily create Oracle from a thruthtable or logical expression.
from qiskit import *
import matplotlib.pyplot as plt
from qiskit.aqua import QuantumInstance
from qiskit.aqua.algorithms import BernsteinVazirani
from qiskit.aqua.components.oracles import TruthTableOracle, LogicalExpressionOracle
# Set the secret number
s='110111' # The secret number
# Create the thruthTable.
truth_table_str=''
print('The Truthtable corresponding to the oracle is:','\n')
for i in range(2**len(s)):
var=sum(list(map(int, list(bin(int(s,2) & i)[2:])))) % 2
print('s.',format(i, '0{}b'.format(len(s))) ,var)
truth_table_str += str(var)
# Pass the bistring of the oracle in the TruthTable oracle function with optimization=True to generate the oracle circuit
oracle = TruthTableOracle(truth_table_str, optimization=True, mct_mode='advanced')
# Set the backend to qasm_simulator
backend = Aer.get_backend('qasm_simulator')
# Create the BernsteinVazirani circuit
bv = BernsteinVazirani(oracle, backend)
# you can draw the overall circuit
full_circuit = bv.construct_circuit(measurement=True)
full_circuit.draw()
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Qiskit Aqua includes both algorithms:
https://qiskit.org/documentation/apidoc/qiskit.aqua.algorithms.html
