In: Computer Science
Construct a quantum protocol that produces equally likely binary strings of length six.
(A quantum protocol is a classical algorithm which uses at least one quantum computation.
For example, an algorithm which uses Shor’s algorithm to factor a natural number as part of an attack to decrypt a code.)
The problem we are trying to solve is that, given an integer N, we try to find another integer p between 1 and N that divides N.
Shor's algorithm consists of two parts:
Classical part
f(x) = ax mod
N
, i.e. the smallest integer r for which
f(x + r) = f(x).
Quantum part: Period-finding subroutine:
N − 1/2∑x∣x〉∣0〉
where x runs from 0 to N - 1.
N − 1/2∑x∣x〉∣f(x)〉
UQFT∣x〉 = N − 1/2∑ye2πixy/N∣y〉
This leaves us in the following state:
N − 1∑x∑ye2πixy/N∣y〉∣f(x)〉
N − 1∣∑x : f(x) = f(x0)e2πixy/N∣2 = N − 1∣∑be2πi(x0 + rb)y/N∣2
Analysis now shows that this probability is higher, the closer yr/N is to an integer.
Explanation of the algorithm
The algorithm is composed of two parts. The first part of the algorithm turns the factoring problem into the problem of finding the period of a function, and may be implemented classically. The second part finds the period using the quantum Fourier transform, and is responsible for the quantum speedup.
I. Obtaining factors from period
The integers less than N and coprime with N form a finite group under multiplication modulo N, which is typically denoted (Z/NZ)×. By the end of step 3, we have an integer a in this group. Since the group is finite, a must have a finite order r, the smallest positive integer such that
ar ≡ 1 mod N.
Therefore, N | (a r − 1). Suppose we are able to obtain r, and it is even. Then
ar − 1 = (ar/2 − 1)(ar/2 + 1) ≡ 0
mod N
⇒ N
∣(ar/2 − 1)(ar/2 + 1).
r is the smallest positive integer such that a r ≡ 1, so N cannot divide (a r / 2 − 1). If N also does not divide (a r / 2 + 1), then N must have a nontrivial common factor with each of (a r / 2 − 1) and (a r / 2 + 1).
Proof: For simplicity, denote (a r / 2 − 1) and (a r / 2 + 1) by u and v respectively. N | uv, so kN = uv for some integer k. Suppose gcd(u, N) = 1; then mu + nN = 1 for some integers m and n (this is a property of the greatest common divisor.) Multiplying both sides by v, we find that mkN + nvN = v, so N | v. By contradiction, gcd(u, N) ≠ 1. By a similar argument, gcd(v, N) ≠ 1.
This supplies us with a factorization of N. If N is the product of two primes, this is the only possible factorization.
II. Finding the period
Shor's period-finding algorithm relies heavily on the ability of a quantum computer to be in many states simultaneously. Physicists call this behaviour a "superposition" of states. To compute the period of a function f, we evaluate the function at all points simultaneously.
Quantum physics does not allow us to access all this information directly, though. A measurement will yield only one of all possible values, destroying all others. Therefore we have to carefully transform the superposition to another state that will return the correct answer with high probability. This is achieved by the quantum Fourier transform.
Shor thus had to solve three "implementation" problems. All of them had to be implemented "fast", which means that they can be implemented with a number of quantum gates that is polynomial in logN.
This can be done by applying Hadamard gates to all qubits in the input register. Another approach would be to use the quantum Fourier transform (see below).
To achieve this, Shor used repeated squaring for his modular exponentiation transformation.
By using controlled NOT gates and single qubit rotation gates Shor designed a circuit for the quantum Fourier transform that uses just O((logN)2) gates.
After all these transformations a measurement will yield an approximation to the period r. For simplicity assume that there is a y such that yr/N is an integer. Then the probability to measure y is 1. To see that we notice that then
e2πibyr/N = 1
for all integers b. Therefore the sum that gives us the
probability to measure y will be N/r since
b takes roughly N/r values and thus the
probability is 1/r. There are r y such
that yr/N is an integer, so the probabilities sum to
1.
Note: another way to explain Shor's algorithm is by noting that it is just the quantum phase estimation algorithm in disguise.
Modifications to Shor's Algorithm
There have been many modifications to Shor's algorithm. For example, whereas, an order of twenty to thirty runs are required on a quantum computer in the case of Shor's original algorithm, and with some of the other modifications, in the case of the modification done by David McAnally at the University of Queensland an order of only four to eight runs on the quantum computer is required.