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Autores principales: Pawlak, Kelly Ann, Epstein, Jeffrey M., Crow, Daniel, Gandhari, Srilekha, Li, Ming, Bohdanowicz, Thomas C., King, Jonathan
Formato: Preprint
Publicado: 2023
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Acceso en línea:https://arxiv.org/abs/2310.20191
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author Pawlak, Kelly Ann
Epstein, Jeffrey M.
Crow, Daniel
Gandhari, Srilekha
Li, Ming
Bohdanowicz, Thomas C.
King, Jonathan
author_facet Pawlak, Kelly Ann
Epstein, Jeffrey M.
Crow, Daniel
Gandhari, Srilekha
Li, Ming
Bohdanowicz, Thomas C.
King, Jonathan
contents We demonstrate that it is possible to construct operators that stabilize the constraint-satisfying subspaces of computational problems in their Ising representations. We provide an explicit recipe to construct unitaries and associated measurements given a set of constraints. The stabilizer measurements allow the detection of constraint violations, and provide a route to recovery back into the constrained subspace. We call this technique ''quantum subspace correction". As an example, we explicitly investigate the stabilizers using the simplest local constraint subspace: Independent Set. We find an algorithm that is guaranteed to produce a perfect uniform or weighted distribution over all constraint-satisfying states when paired with a stopping condition: a quantum analogue of partial rejection sampling. The stopping condition can be modified for sub-graph approximations. We show that it can prepare exact Gibbs distributions on $d-$regular graphs below a critical hardness $λ_d^*$ in sub-linear time. Finally, we look at a potential use of quantum subspace correction for fault-tolerant depth-reduction. In particular we investigate how the technique detects and recovers errors induced by Trotterization in preparing maximum independent set using an adiabatic state preparation algorithm.
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publishDate 2023
record_format arxiv
spellingShingle Quantum Subspace Correction for Constraints
Pawlak, Kelly Ann
Epstein, Jeffrey M.
Crow, Daniel
Gandhari, Srilekha
Li, Ming
Bohdanowicz, Thomas C.
King, Jonathan
Quantum Physics
We demonstrate that it is possible to construct operators that stabilize the constraint-satisfying subspaces of computational problems in their Ising representations. We provide an explicit recipe to construct unitaries and associated measurements given a set of constraints. The stabilizer measurements allow the detection of constraint violations, and provide a route to recovery back into the constrained subspace. We call this technique ''quantum subspace correction". As an example, we explicitly investigate the stabilizers using the simplest local constraint subspace: Independent Set. We find an algorithm that is guaranteed to produce a perfect uniform or weighted distribution over all constraint-satisfying states when paired with a stopping condition: a quantum analogue of partial rejection sampling. The stopping condition can be modified for sub-graph approximations. We show that it can prepare exact Gibbs distributions on $d-$regular graphs below a critical hardness $λ_d^*$ in sub-linear time. Finally, we look at a potential use of quantum subspace correction for fault-tolerant depth-reduction. In particular we investigate how the technique detects and recovers errors induced by Trotterization in preparing maximum independent set using an adiabatic state preparation algorithm.
title Quantum Subspace Correction for Constraints
topic Quantum Physics
url https://arxiv.org/abs/2310.20191