Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Adiabatic quantum computation in open systems.

M S Sarandy1, D A Lidar

  • 1Department of Chemistry, University of Toronto, 80 St. George Street, Toronto, Ontario, M5S 3H6, Canada.

Physical Review Letters
|December 31, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Dissipative Landau-Zener tunneling in the crossover regime from weak to strong environment coupling.

Nature communications·2025
Same author

Erratum: Simple Proof of Equivalence between Adiabatic Quantum Computation and the Circuit Model [Phys. Rev. Lett. 99, 070502 (2007)].

Physical review letters·2021
Same author

Non-Markovianity through quantum coherence in an all-optical setup.

Optics letters·2019
Same author

Observation of environment-induced double sudden transitions in geometric quantum correlations.

Physical review letters·2014
Same author

Optimally combining dynamical decoupling and quantum error correction.

Scientific reports·2013
Same author

Decoherence-protected quantum gates for a hybrid solid-state spin register.

Nature·2012
Same journal

Erratum: Bacterial Turbulence at Compressible Fluid Interfaces [Phys. Rev. Lett. 136, 138301 (2026)].

Physical review letters·2026
Same journal

Unveiling Light-Quark Yukawa Flavor Structure via Dihadron Fragmentation at Lepton Colliders.

Physical review letters·2026
Same journal

Adaptable Route to Fast Coherent State Transport via Bang-Bang-Bang Protocols.

Physical review letters·2026
Same journal

Topological Transition and Emergence of Elasticity of Dislocation in Skyrmion Lattice: Beyond Kittel's Magnetic-Polar Analogy.

Physical review letters·2026
Same journal

Pound-Drever-Hall Method for Superconducting-Qubit Readout.

Physical review letters·2026
Same journal

Coupling a ^{73}Ge Nuclear Spin to an Electrostatically Defined Quantum Dot in Silicon.

Physical review letters·2026
See all related articles

We analyzed adiabatic quantum computation (AQC) performance under decoherence using an open-systems approach. Success depends on balancing system rates, revealing new optimality criteria for robust quantum computing.

Area of Science:

  • Quantum Information Science
  • Quantum Computation
  • Open Quantum Systems

Background:

  • Adiabatic quantum computation (AQC) is a promising paradigm for quantum computation.
  • Decoherence, an inherent challenge in quantum systems, can degrade AQC performance.
  • Traditional analysis often assumes closed systems, neglecting environmental interactions.

Purpose of the Study:

  • To analyze the performance of adiabatic quantum computation (AQC) under decoherence.
  • To introduce an open-systems approach for studying AQC in realistic environments.
  • To identify conditions and criteria for successful AQC in the presence of noise.

Main Methods:

  • Developed an inherently open-systems approach based on a generalized adiabatic approximation.

Related Experiment Videos

  • Analyzed the transition dynamics of quantum systems from adiabatic to non-adiabatic regimes.
  • Investigated the interplay of various rates governing system evolution and decoherence.

    • Main Results:

    • Demonstrated that AQC systems can transition from an adiabatic regime to one where adiabaticity breaks down.
    • Showed that AQC success is critically dependent on the competition between system evolution and decoherence rates.
    • Derived optimality criteria based on the balance of these competing rates.

    Conclusions:

    • The performance of adiabatic quantum computation is highly sensitive to decoherence.
    • An open-systems perspective is crucial for understanding and optimizing AQC.
    • Identifying and controlling relevant rates is key to achieving robust and successful AQC.