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Quantum phase estimation for a class of generalized eigenvalue problems

Jeffrey B. Parker, I. Joseph

2020Physical review. A/Physical review, A41 citationsDOIOpen Access PDF

Abstract

Quantum phase estimation provides a path to quantum computation of solutions to Hermitian eigenvalue problems $Hv=\ensuremath{\lambda}v$, such as those occurring in quantum chemistry. It is natural to ask whether the same technique can be applied to generalized eigenvalue problems $Av=\ensuremath{\lambda}Bv$, which arise in many areas of science and engineering. We answer this question affirmatively. A restricted class of generalized eigenvalue problems could be solved as efficiently as standard eigenvalue problems. A paradigmatic example is provided by Sturm-Liouville problems. Another example comes from linear ideal magnetohydrodynamics, where phase estimation could be used to determine the stability of magnetically confined plasmas in fusion reactors.

Topics & Concepts

Eigenvalues and eigenvectorsDivide-and-conquer eigenvalue algorithmMathematicsQuantumClass (philosophy)Stability (learning theory)LambdaComputationPhase (matter)Applied mathematicsQuantum computerPure mathematicsHermitian matrixQuantum mechanicsPhysicsComputer scienceAlgorithmArtificial intelligenceMachine learningQuantum Computing Algorithms and ArchitectureQuantum Information and CryptographyQuantum chaos and dynamical systems