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[Paper Review] Quantum Computations: Fundamentals And Algorithms

Steven Duplij, I. I. Shapoval|ArXiv.org|Dec 7, 2007
Quantum Computing Algorithms and Architecture10 references3 citations
TL;DR

This paper provides a concise overview of quantum computation fundamentals, focusing on quantum logic, key algorithms like Shor's and Grover's, and quantum error correction. It examines experimental implementations using NMR and trapped ions, emphasizing decoherence challenges and topological approaches for fault-tolerant quantum computing.

ABSTRACT

Basic concepts of quantum theory of information, principles of quantum calculations and the possibility of creation on this basis unique on calculation power and functioning principle device, named quantum computer, are briefly reviewed. The main blocks of quantum logic, schemes of implementation of quantum calculations, as well as some known today effective quantum algorithms, called to realize advantages of quantum calculations upon classical, are concerned. Among them special place is taken by Shor's algorithm of number factorization, Grover's algorithm of unsorted database search and, finally, the most promising in application methods of quantum phenomena simulation, particularly quantum chaos. The most perspective methods of experimental realization of quantum computer, namely nuclear-magnetic resonance and trapped ions realizations, are discussed. Phenomena of decoherence, its influence on quantum computer stability and methods of quantum error correction are described.

Motivation & Objective

  • To present foundational concepts of quantum information theory and quantum computation.
  • To analyze the theoretical and practical potential of quantum computers as superior computational devices.
  • To examine major quantum algorithms that outperform classical counterparts, including Shor's and Grover's algorithms.
  • To evaluate experimental platforms such as nuclear magnetic resonance and trapped ions for quantum computer realization.
  • To discuss decoherence effects and quantum error correction techniques essential for stable quantum computation.

Proposed method

  • Reviews the principles of quantum mechanics underlying quantum computation, including superposition and entanglement.
  • Describes quantum logic gates and circuits as the building blocks of quantum algorithms.
  • Analyzes Shor's algorithm for integer factorization and Grover's algorithm for unstructured search as key quantum speedup examples.
  • Discusses quantum simulation, particularly of quantum chaos, as a promising application domain.
  • Examines experimental implementations using nuclear magnetic resonance (NMR) and trapped ions as physical qubit platforms.
  • Explores decoherence mechanisms and quantum error correction methods to preserve quantum coherence and computational fidelity.

Experimental results

Research questions

  • RQ1What are the core principles of quantum computation that enable exponential speedup over classical algorithms?
  • RQ2How do Shor's and Grover's algorithms demonstrate quantum advantage in specific computational tasks?
  • RQ3What are the main physical implementations of quantum computers, and what are their respective advantages and limitations?
  • RQ4How does decoherence affect the stability and reliability of quantum computations?
  • RQ5What role do quantum error correction techniques play in enabling fault-tolerant quantum computation?

Key findings

  • Shor's algorithm enables efficient prime factorization of large integers, offering exponential speedup over classical methods.
  • Grover's algorithm provides a quadratic speedup for searching unsorted databases, demonstrating quantum advantage in unstructured search.
  • Quantum simulation, particularly of quantum chaotic systems, is identified as one of the most promising near-term applications of quantum computers.
  • Nuclear magnetic resonance (NMR) and trapped ions are highlighted as leading experimental platforms for quantum computation.
  • Decoherence remains a major obstacle to scalable quantum computation, necessitating robust error correction strategies.
  • Quantum error correction techniques are essential for maintaining coherence and enabling fault-tolerant quantum computation.

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This review was created by AI and reviewed by human editors.