Author

Azadeh Alavi

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#artificial intelligence Preprint Oct 2026

When do quantum views help? Complementary classical-quantum representations in multi-view fusion

It is proposed that fusion can improve prediction when classical and quantum representations capture complementary predictive relationships, and evaluated quantum representations for their complementary predictive contribution and matching the representation and fusion strategy to the target relationships.

Azadeh Alavi, Fatemeh Kouchmeshki, Hossein Akhoundi et al. · 0 citations

Preprint Jul 2026

Energy Accuracy Is Not Enough: A Structure-Aware Benchmark and Evaluation Protocol for Quantum Architecture Search

HamQASBench is introduced, a structure-aware benchmark comprising eleven molecular Hamiltonians of up to fourteen qubits, selected using Hamiltonian and target-state properties and supplied with exact references, that combines energy accuracy and success rates with reference-relative circuit cost, local entropy profile...

Jia-Yang Niu, Akib Karim, Yan Wang et al. · 0 citations

#quantum computing Preprint Jul 2026

HamQASBench: A Hamiltonian-Informed Diagnostic Benchmark for Evaluating Quantum Architecture Search

Quantum Architecture Search (QAS) automates the design of parameterized quantum circuits for variational quantum algorithms, yet existing benchmarks organize instances by molecular identity or qubit count -- criteria agnostic to Hamiltonian structure -- and rely solely on energy accuracy, which cannot detect structural...

Jiayang Niu, Akib Karim, Yan Wang et al. · 1 citation

#machine learning Preprint Jul 2026

DreamQAS: Learning a Decision-Useful World Model for VQE-Efficient Quantum Architecture Search

These results establish a world-model design for QAS whose value lies in decision-useful feedback rather than exact energy prediction, and establish a world-model design for QAS whose value lies in decision-useful feedback rather than exact energy prediction.

Jiayang Niu, Yan Wang, Jie Li et al. · 0 citations