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Updated: Jun 22, 2026

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

Critically damped quantum search.

Ari Mizel1

  • 1Science Applications International Corporation, Arlington, Virginia 22203, USA.

Physical Review Letters
|June 13, 2009
PubMed
Summary
This summary is machine-generated.

We introduce a modified Grover's algorithm incorporating damping, revealing a critical value that separates quantum and classical search regimes. This damping approach enables efficient quantum search even when the number of targets is unknown.

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Area of Science:

  • Quantum computing
  • Information theory

Background:

  • Quantum evolution can be achieved through measurement and unitary processes.
  • Dissipation and damping offer a powerful conceptual framework for quantum systems.

Purpose of the Study:

  • To propose a modified Grover's algorithm that naturally incorporates damping.
  • To investigate the impact of damping on quantum search performance.

Main Methods:

  • Modification of Grover's algorithm to include a damping mechanism.
  • Analysis of the relationship between damping values and search complexity.
  • Development of a fixed-point quantum search algorithm with variable damping.

Main Results:

  • A critical damping value was identified, distinguishing between quantum O(sqrt[N]) and classical O(N) search regimes.

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Last Updated: Jun 22, 2026

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators
09:23

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

Published on: May 30, 2014

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Published on: September 8, 2023

  • Varying damping allows for a fixed-point quantum search algorithm.
  • Ignorance of the number of targets increases oracle queries by only a factor of 1.5 in the proposed algorithm.
  • Conclusions:

    • Damping provides a powerful and practical approach to quantum search algorithms.
    • The modified Grover's algorithm offers enhanced performance and robustness.
    • This work bridges the gap between theoretical quantum evolution and practical implementation considerations.