DQI-Kit automates encoding of objectives and constraints into Max-LINSAT instances and estimates expected DQI performance on the resulting problems.
Quantum-inspired digital annealing for join ordering
3 Pith papers cite this work, alongside 18 external citations. Polarity classification is still indexing.
years
2026 3representative citing papers
Architectures with stronger inductive biases attain higher in-distribution accuracy but degrade faster under temporal distribution shift, while frozen pretrained encoders trade accuracy for stability.
Introduces a toolbox for studying energy gaps, eigenstate structure, and optimization dynamics in quantum annealing formulations of database problems.
citing papers explorer
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From Constraint to Code: DQI-Kit -- A Software Framework for Decoded Quantum Interferometry
DQI-Kit automates encoding of objectives and constraints into Max-LINSAT instances and estimates expected DQI performance on the resulting problems.
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Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift
Architectures with stronger inductive biases attain higher in-distribution accuracy but degrade faster under temporal distribution shift, while frozen pretrained encoders trade accuracy for stability.
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A Toolbox to Understand the Physics of Quantum Data Management
Introduces a toolbox for studying energy gaps, eigenstate structure, and optimization dynamics in quantum annealing formulations of database problems.