Arbitrary Phase Rotation of the Marked State Can not Be Used for Grover’s Quantum Search Algorithm
نویسندگان
چکیده
A misunderstanding that an arbitrary phase rotation of the marked state together with the inversion about average operation in Grover’s search algorithm can be used to construct a (less efficient) quantum search algorithm is cleared. The π rotation of the phase of the marked state is not only the choice for efficiency, but also vital in Grover’s quantum search algorithm. The results also show that Grover’s quantum search algorithm is robust. 03.67-a, 03.67.Lx Typeset using REVTEX 1 Grover’s quantum search algorithm is one of the most important development in quantum computation [1]. It achieves quadratic speedup in searching a marked state in an unordered list over classical search algorithms. As the algorithm involves only simple operations, it is easy to implement in experiment. By now, it has been realized in NMR quantum computers [2,3]. Benett et al [4] have shown that no quantum algorithm can solve the search problem in less than O √ N steps. Boyer et al [5] have given analytical expressions for the amplitude of the states in Grover’s search algorithm and given tight bounds. Zalka [6] has improved this tight bounds and showed that Grover’s algorithm is optimal. Zalka also proposed [7] an improvement on Grover’s algorithm. In another development, Biron et al [8] generalized Grover’s algorithm to an arbitrarily distributed initial state. Pati [9] recast the algorithm in geometric language and studied the bounds on the algorithm. In each iteration of the Grover’s search algorithm, there are two steps: 1) a selective inversion of the amplitude of the marked state, which is a phase rotation of π of the marked state; 2) an inversion about the average of the amplitudes of all basis states. This second step can be realized by two Hadamard-Walsh transformations and an rotation of π of the all basis states different from |0〉. Grover’s search algorithm is a series of rotations in an SU(2) space span by |n0〉, the marked state and |c〉 = 1 N−1 ∑ n 6=n0 |n〉. Each iteration rotates the state vector of the quantum computer system an angle ψ = 2 arcsin 1 √ N towards the |n0〉 basis of the SU(2) space. Grover further showed [10] that the Hadamard-Walsh transformation can be replaced by almost any unitary transformation. The inversions of the amplitudes can be instead rotated by arbitrary phases [10]. It is believed that [10,7] if one rotates the phases of the states arbitrarily, the resulting transformation is still a rotation of the state vector of the quantum computer towards the |n0〉 basis in the SU(2) space. But the angle of rotation is smaller than ψ. From the consideration of efficiency, the phase rotation of π should be adopted. This fact has been used to the advantage by Zalka recently [7] to improve the efficiency of the quantum search algorithm. According to the proposal, the inversion of the amplitude of the marked state in step 1 is replaced by a rotation through an angle between 0 and π to produce a smaller angle of SU(2) rotation towards the end of a quantum search calculation so that the amplitude of the marked state in the computer system state vector is exactly 1. In this Letter, we show by explicit construction that the above concept is actually wrong. When the rotation of the phase of the marked state is not π, one can simply not construct a quantum search algorithm at all. Suppose the initial state of the quantum computer is |φ〉 = B0|n0〉+ A0 1 √ N − 1 ∑ n 6=n0 |n〉. (1) The modified quantum search algorithm now consists of the following two steps: 1) |n0〉 → e|n0〉; 2) an inversion about the average operation D, whose matrix elements are: Dij = { 2 N , i 6= j 2 N − 1, i = j (2) After each iteration of the modified Grover’s quantum search, the state vector still has the form of (1). The recurrent formula for the amplitudes are Bj+1 = − N − 2 N eBj + 2 √ N − 1 N Aj ,
منابع مشابه
A Novel SO(3) Picture for Quantum Searching
An SO(3) picture of the generalized Grover’s quantum searching algorithm,with arbitrary unitary transformation and with arbitrary phase rotations, is constructed. In this picture, any quantum search operation is a rotation in a 3 dimensional space. Exact formulas for the rotation angle and rotational axis are given. The probability of finding the marked state is just (z +1)/2, where z is the z-...
متن کاملA General SU (2) Formulation for Quantum Searching with Certainty
A general quantum search algorithm with arbitrary unitary transformations and an arbitrary initial state is considered in this work. To serach a marked state with certainty, we have derived, using an SU(2) representation: (1) the matching condition relating the phase rotations in the algorithm, (2) a concise formula for evaluating the required number of iterations for the search, and (3) the fi...
متن کاملPhase Matching in Quantum Searching
Each iteration in Grover’s original quantum search algorithm contains 4 steps: two Hadamard-Walsh transformations and two amplitudes inversions. When the inversion of the marked state is replaced by arbitrary phase rotation θ and the inversion for the prepared state |γ〉 is replaced by rotation through φ, we found that these phase rotations must satisfy a matching condition θ = φ. Approximate fo...
متن کاملPhase Condition for the Grover Algorithm
Quantum algorithms standardly use two techniques: Fourier transforms [1] and amplitude amplification. The Grover search algorithm is based on the latter. The problem addressed by the Grover algorithm is to find a marked term (or target term in [2]) in an unsorted database of size N . To accomplish this, a quantum computer needs O (√ N ) queries using the Grover algorithm [3]. In Grover’s origin...
متن کاملBQIABC: A new Quantum-Inspired Artificial Bee Colony Algorithm for Binary Optimization Problems
Artificial bee colony (ABC) algorithm is a swarm intelligence optimization algorithm inspired by the intelligent behavior of honey bees when searching for food sources. The various versions of the ABC algorithm have been widely used to solve continuous and discrete optimization problems in different fields. In this paper a new binary version of the ABC algorithm inspired by quantum computing, c...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1999