AQUIRE is the first error-aware adaptive Bayesian protocol for simultaneously estimating the mean and error of observables on qudit quantum computers using generalized Pauli operators and overlap grouping.
Soundness Verification of Decision-Aware Process Models with Variable- to-Variable Conditions
9 Pith papers cite this work, alongside 23 external citations. Polarity classification is still indexing.
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QADR decomposes n-qubit VQCs into local sub-circuits to reduce memory from O(2^n) to O(n * 2^{2d+1}) and mitigate barren plateaus, scaling to 2000 features on MNIST and wind turbine diagnostics while matching classical models.
Mass-gap compact objects could be hybrid stars only with very early deconfinement and stiff quark matter; confirming 1.4 M⊙ twin stars would cap hybrid-star maximum mass below 2.2 M⊙.
Iterative-QAOA warm-starts for the shipment selection problem yield hybrid logistics plans with up to 12% more shipments delivered on specific real instances while keeping operational cost flat.
The authors integrate quantum annealing and QAOA as subroutines for pricing and separation in a branch-price-and-cut algorithm for vehicle routing problems.
Extends Petri nets with identifiers for object- and resource-aware systems and defines generalized correctness criteria with decidability analysis.
The single Λ hyperon quasiparticle in nuclear matter at saturation density has energy -29.55 MeV at zero momentum, residue 0.98, and effective mass ratio 0.747.
Topic modeling of 6520 AI papers reveals divergent and sometimes contradictory conceptions of bias within the research community.
Pauli Correlation Encoding framework achieves competitive or superior solutions on QOPTLib benchmark instances for combinatorial optimization.
citing papers explorer
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An Error-aware and Adaptive Method for the Estimation of Quantum Observables on Qudit-Based Quantum Computers
AQUIRE is the first error-aware adaptive Bayesian protocol for simultaneously estimating the mean and error of observables on qudit quantum computers using generalized Pauli operators and overlap grouping.
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Quantum Algorithm for Distributed Reduction of Entanglements (QADR): A Trainable and Simulation-Efficient QML Framework
QADR decomposes n-qubit VQCs into local sub-circuits to reduce memory from O(2^n) to O(n * 2^{2d+1}) and mitigate barren plateaus, scaling to 2000 features on MNIST and wind turbine diagnostics while matching classical models.
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Hybrid stars among mass gap objects are excluded by twin stars at $1.4\,M_\odot$
Mass-gap compact objects could be hybrid stars only with very early deconfinement and stiff quark matter; confirming 1.4 M⊙ twin stars would cap hybrid-star maximum mass below 2.2 M⊙.
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Hybrid Quantum-Classical Optimization Workflows for the Shipment Selection Problem
Iterative-QAOA warm-starts for the shipment selection problem yield hybrid logistics plans with up to 12% more shipments delivered on specific real instances while keeping operational cost flat.
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Quantum Subroutines in Branch-Price-and-Cut for Vehicle Routing
The authors integrate quantum annealing and QAOA as subroutines for pricing and separation in a branch-price-and-cut algorithm for vehicle routing problems.
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Correctness Notions for Petri Nets with Identifiers
Extends Petri nets with identifiers for object- and resource-aware systems and defines generalized correctness criteria with decidability analysis.
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Quasiparticle properties of a single $\Lambda$ impurity in symmetric nuclear matter with a regulated $N\Lambda$ interaction
The single Λ hyperon quasiparticle in nuclear matter at saturation density has energy -29.55 MeV at zero momentum, residue 0.98, and effective mass ratio 0.747.
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Navigating the muddy waters of bias in artificial intelligence research: Understanding divergent meanings and conceptions
Topic modeling of 6520 AI papers reveals divergent and sometimes contradictory conceptions of bias within the research community.
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Benchmark of Pauli Correlation Encoding for different optimisation problems
Pauli Correlation Encoding framework achieves competitive or superior solutions on QOPTLib benchmark instances for combinatorial optimization.