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A new algorithm for directed quantum search Tathagat Tulsi, Lov Grover, Apoorva Patel

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Title: A new algorithm for directed quantum search Tathagat Tulsi, Lov Grover, Apoorva Patel


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

2
Plan
  • Introduction
  • Direct quantum Search Algorithm
  • Analysis
  • Comparison

3
IntroductionThe 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 -gt success
  • Otherwise -gt error
  • The goal
  • Minimize error probability using smaller number
    of queries

4
Introduction
  • f - sufficiently small -gt
  • Optimal quantum search algorithm with
  • f - large -gt
  • Classical search algorithm may outperform quantum
    algorithm

5
Direct quantum search.Algorithm
Iterating n times
Error probability
For egt1/3 gt better then Phase-p/3 Search For
elt1/3 gt worse then Phase-p/3 Search 1gtegt1/2
-gt probability decrease monotonically Set lower
bound of ½ for e ? Set upper bound of ½ for f
gt extra ancilla gt controlled oracle query
6
Phase-p/3 Search
Quantum search algorithm Phase-p/3
Search selective inversions Selective
p/3-shift
The best performance of Phase-p/3 Search
! Limitation restricted number of oracle queries
7
Direct quantum searchAlgorithm
Goal Decrease probability of non-target state
Initial state
Ancilla in initial state
Error probability
flip ancilla
Oracle query
To decrease error -gt apply Diffusion operator
New state
8
Direct quantum searchAlgorithm
9
Direct quantum searchAnalysis
10
Direct quantum searchAnalysis
Joint search space of ancilla-1 and the register j
Non-target states
Target state
11
Direct quantum searchAnalysis
12
Direct quantum searchAnalysis. Total error
Error probability after 1 iteration
Error probability after q iteration
Probability to find the register in non-target
state
13
Direct quantum searchAnalysis. Total error
  • Fixed point e1 instead of e0 -gt
  • Error probability (1- e)2q1
  • Number of oracle queries
  • Directed quantum search to locate e1-f
  • Thus qO(1/f) lt O(1/vf)

14
Advantages of Algorithm
  • Real variables
  • Allowed values of q
  • e eth lt1
  • Directed quantum search q can take all odd
    positive numbers
  • Phase-p/3 Search q (1,4,13,40,121,364,1093)
  • No. of ancilla states
  • Directed quantum search 2
  • Phase-p/3 Search 6 (to obtain phase
    transformations from binary oracle)
  • Improvement when e has the lower bound
  • Instead of gt we can take initial state
  • If rlt1/2 then e 1-1/2r If rgt1/2 then e
    (2r-1)/(2r1)
  • faster then Phase-p/3 Search

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

16
Questions
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