quantum-advantage

A compilation of quantum-native solver techniques that can be used to map and run on a quantum computer. Compiled by Onri Jay Benally.

An extensible register of student-scale local practical quantum advantage projects

Controlled interpolation between classical and quantum learning. Binarized Quantum Neural Network benchmark harness for systematic sweeping a quantumness parameter to map learning phase transitions.

Reproducibility artifact for 'Sharp Target-Domain Certificates for Quantum-Kernel Advantage under Distribution Shift': sharp finite-batch certificates, controlled quantum-vs-classical kernel benchmark (EMBER, UNSW-NB15, ToN-IoT, TableShift), frozen specifications, prediction locks, manuscript sources. Zenodo v1.1.6.

Zero-overhead quantum error suppression via tetrahedral deficit correction. Hardware-validated +16.9% fidelity. Works with Amazon Braket & Qiskit.

Empirical study of quantum advantage on nine industry-relevant use cases in classification, regression, combinatorial optimization, and clustering-related tasks. Analyzes hybrid quantum–classical methods and proposes a quantumness score and a representation-space framework for selective adoption. UNIR MSc thesis.

Interaction-graph decomposition for solving peaked quantum circuits. MIT iQuHACK 2026.

Deep research audit of Huang et al. (2025) 'The vast world of quantum advantage' (arXiv:2508.05720) — engagement with QNFO's quantum computing critique

Do we really need quantum computing? A runnable essay: one matrix-free dial — the effective rank Φ₁ — flags which quantum speedups survive a classical attack, and which were never quantum at all.

Quantum Neural Network (QNN) Comparative Study on MNIST Dataset

PennyLane reproduction of 'On verifiable quantum advantage with peaked circuit sampling' (Aaronson & Zhang, arXiv:2404.14493), Section 3 — peakedness 0.20 reproduced at n=12

⚛️ Explore quantum-native solvers that enable efficient mapping and execution on quantum computers for advanced computational techniques.

A tool for simulating 1D peaked circuits with exact statevectors and an MPS with swappable SVD truncation rules. Benchmarks them against top-χ on chi_break.