Center for Quantum Algorithms and Complexity

Abstract

How efficiently can the ground state of a local Hamiltonian be computed? This is a question that lies at the heart of an emerging area called "quantum Hamiltonian complexity", that addresses fundamental issues in both quantum complexity theory and condensed matter physics. Of particular importance are 1D Hamiltonians. We give a new combinatorial approach to proving the area law for 1D systems via the detectability lemma, in the process exponentially improving on Hastings' bounds in the frustration free case. We also give an efficient algorithm for finding an MPS approximation to the ground state, in the case of constant bond dimension. Entanglement is a fundamental feature of quantum systems, and understanding its nature is a basic challenge in quantum computation. We study it in a number of basic contexts, including the complexity of parallel repetition of entangled games, and Bell-inequalities distinguishing non-locality versus entanglement. We show how to use entanglement to give a way of generating certifiably random numbers which are provably secure even against a quantum adversary. The method is based on an earlier paper in which we report an implementation of optimal extractors against quantum storage.

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Document Details

Document Type
Technical Report
Publication Date
May 12, 2014
Accession Number
ADA606538

Entities

People

  • Umesh Vazirani

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Chebyshev Polynomials
  • Computational Complexity
  • Computer Science
  • Condensed Matter Physics
  • Cryptography
  • Department Of Defense
  • Engineering
  • Ground State
  • Inequalities
  • Physics
  • Quantum Algorithms
  • Quantum Computing
  • Quantum Cryptography
  • Quantum Mechanics
  • Students
  • Subatomic Particles

Fields of Study

  • Computer science
  • Physics

Readers

  • Graph Algorithms and Convex Optimization.
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.
  • Systems Analysis and Design

Technology Areas

  • Quantum Computing