Presentation is loading. Please wait.

Presentation is loading. Please wait.

A new algorithm for directed quantum search Tathagat Tulsi, Lov Grover, Apoorva Patel Vassilina NIKOULINA, M2R III.

Similar presentations


Presentation on theme: "A new algorithm for directed quantum search Tathagat Tulsi, Lov Grover, Apoorva Patel Vassilina NIKOULINA, M2R III."— Presentation transcript:

1 A new algorithm for directed quantum search Tathagat Tulsi, Lov Grover, Apoorva Patel Vassilina NIKOULINA, M2R III

2 Plan Introduction Direct quantum Search Algorithm Analysis Comparison

3 Introduction The problem of search Database with fraction f of marked items, we have no precise knowledge of f Algorithm returns 1 item from database :  Marked item -> success  Otherwise -> error The goal :  Minimize error probability using smaller number of queries

4 Introduction f - sufficiently small ->  Optimal quantum search algorithm with f - large ->  Classical search algorithm may outperform quantum algorithm queries

5 Direct quantum search. Algorithm Iterating n times: Error probability: For ε>1/3 => better then Phase-π/3 Search For ε worse then Phase-π/3 Search 1>ε>1/2 -> probability decrease monotonically Set lower bound of ½ for ε  Set upper bound of ½ for f => extra ancilla |+> + controlled oracle query

6 Phase-π/3 Search Quantum search algorithm Phase-π/3 Search selective inversions Selective π/3-shift The best performance of Phase-π/3 Search ! Limitation : restricted number of oracle queries

7 Direct quantum search Algorithm Goal: Decrease probability of non-target state Initial state: Ancilla in initial state: Oracle query : flip ancilla Error probability : To decrease error -> apply Diffusion operator New state :

8 Direct quantum search Algorithm H U

9 Direct quantum search Analysis Initial state : Initial error probability:

10 Direct quantum search Analysis Non-target states: Target state: Joint search space of ancilla-1 and the register j

11 Direct quantum search Analysis

12 Error probability after 1 iteration Probability to find the register in non-target state: Error probability after q iteration Direct quantum search Analysis. Total error

13 Fixed point : ε=1 instead of ε=0 ->  Error probability (1- ε) 2q+1 Number of oracle queries  Directed quantum search to locate: ε=1-f  Thus q=O(1/f) < O(1/√f)

14 Advantages of Algorithm Real variables Allowed values of q ε ≤ ε th <1 Directed quantum search: q can take all odd positive numbers Phase-π/3 Search: q = (1,4,13,40,121,364,1093…) No. of ancilla states Directed quantum search: 2 Phase-π/3 Search: 6 (to obtain phase transformations from binary oracle) Improvement when ε has the lower bound Instead of |+> we can take initial state If r 1/2 then ε =(2r-1)/(2r+1) faster then Phase-π/3 Search

15 Conclusion Using irreversible measurement operators Superior to the Phase-π/3 Search Can be useful in other problems :  quantum error control

16 Questions


Download ppt "A new algorithm for directed quantum search Tathagat Tulsi, Lov Grover, Apoorva Patel Vassilina NIKOULINA, M2R III."

Similar presentations


Ads by Google