From Reachability to Learnability: Geometric Design Principles for Quantum Neural Networks

This paper reframes Quantum Neural Network design from state reachability to learnability by introducing geometric design principles and the almost Complete Local Selectivity (aCLS) criterion, demonstrating that architectures requiring joint dependence on data and trainable weights enable adaptive feature learning and outperform traditional schemes with greater efficiency.

Vishal S. Ngairangbam, Michael Spannowsky2026-03-03⚛️ quant-ph

Quantum-Inspired Hamiltonian Feature Extraction for ADMET Prediction: A Simulation Study

This simulation study presents a quantum-inspired Hamiltonian feature extraction method for ADMET prediction that uses mutual information to guide entanglement, achieving state-of-the-art performance on CYP3A4 substrate prediction and improving over classical baselines on 8 out of 10 benchmarks, with results showing that quantum-derived features contribute disproportionately to model importance despite comprising only 1.6% of features.

B. Maurice Benson, Kendall Byler, Anna Petroff + 2 more2026-03-03⚛️ quant-ph

Quantum Theory of Functionally Graded Materials

Addressing the breakdown of Bloch's theorem in spatially varying composites, this paper establishes a foundational ab initio quantum theoretical framework for functionally graded materials that derives effective field equations for modulated Bloch states, revealing non-tensorial electromagnetic properties and enabling the predictive design of optimized electronic devices such as graded p-n junctions.

Michael J. Landry, Ryotaro Okabe, Chuliang Fu + 1 more2026-03-03✓ Author reviewed⚛️ quant-ph

Adversarial Learning Game for Intrusion Detection in Quantum Key Distribution

This paper presents a simulation-driven adversarial learning framework for Quantum Key Distribution intrusion detection that models the interaction as a minimax game between a learning-based defender and a physically constrained adversary to optimize detection directly for finite-key secret-bit retention, demonstrating robust defense against adaptive side-channel attacks.

Noureldin Mohamed, Saif Al-Kuwari2026-03-03⚛️ quant-ph