Quantum-Circuit Residuals for Receptor Functional Potency Prediction: Predictive Gains and Quadratic Structure

quant-ph

Submitted: 2026-10-09

Updated: 2026-10-09

Comments: 37 pages,including 19 pages of Supporting Information; 5 figures

Code: https://github.com/SpinQTech/Quantum-ResidualPotency

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• Improving Sample Efficiency in Peptide-HLA Binding Prediction with Hybrid Quantum-Classical Neural Networks
• Better than classical? The subtle art of benchmarking quantum machine learning models
• Enhancing Expressivity of Quantum Neural Networks Based on the SWAP test
• Gaussian Error Linear Units (GELUs)

Related papers

• Reconquering Bell sampling on qudits: stabilizer learning and testing, quantum pseudorandomness bounds, and more
• Encrypted clones can leak: Classification of informative subsets in Quantum Encrypted Cloning
• Polynomial-time classical and quantum simulation of quantum impurity models
• A quasiparticle-protected superconducting qubit
• Theory of quantum-enhanced interferometry with general Markovian light sources
• A convergent hierarchy of spectral gap certificates for qubit Hamiltonians