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High Fidelity Adiabatic Quantum Computation via Dynamical Decoupling
Quantum Physics · Submitted 11 May 2012
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim Our numerical results demonstrate that a judicious choice of high-order dynamical decoupling method, in conjunction with an encoding which allows computation to proceed alongside decoupling, can dramatically enhance the fidelity of adiabatic quantum computation in spite of decoherence.
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We introduce high-order dynamical decoupling strategies for open system adiabatic quantum computation. Our numerical results demonstrate that a judicious choice of high-order dynamical decoupling method, in conjunction with an encoding which allows computation to proceed alongside decoupling, can dramatically enhance the fidelity of adiabatic quantum computation in spite of decoherence.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | We introduce high-order dynamical decoupling strategies for open system adiabatic quantum computation. | contribution 1.00 | 0.85 | 0.07 | asserted 0.90 |
| s1 | Our numerical results demonstrate that a judicious choice of high-order dynamical decoupling method, in conjunction with an encoding which allows computation to proceed alongside decoupling, can dramatically enhance the fidelity of adiabatic quantum computation in spite of decoherence. | result 0.89 | 0.94 | 0.91 | asserted 1.00 |
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Original abstract
We introduce high-order dynamical decoupling strategies for open system adiabatic quantum computation. Our numerical results demonstrate that a judicious choice of high-order dynamical decoupling method, in conjunction with an encoding which allows computation to proceed alongside decoupling, can dramatically enhance the fidelity of adiabatic quantum computation in spite of decoherence.
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The minimum gap occurs near $t=2T/3$ and $Δ_min=O(1/n)$; it can be found using the standard fermionization method [ref] .
Quantum Computation by Adiabatic Evolution · Introduction · 0.87
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Introduction.— In adiabatic quantum computation (AQC) a problem is solved by evolving in the ground state manifold of an adiabatic Hamiltonian $H_ad(t)$, with $t∈[0,T]$ [ref] .
Quantum Computation by Adiabatic Evolution · Introduction · 0.99
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