quantum-advantage

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

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

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.

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

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

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.

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

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

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.

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