Troyer Utility-Scale Filters
Every problem is evaluated against Dr. Matthias Troyer's 5 filters. Only problems that pass all five are classified as active candidates for quantum advantage.
Active Problems9 pass all Troyer filters
Hubbard Model
QPEQPE for 2-site Hubbard ground state. 132k physical qubits, 18 logical. Exponential speedup for strongly-correlated systems. Naturally quantum.
Catalysis Simulation
QPEQPE for H₂ molecular ground state (STO-3G). 132k physical qubits, 18 logical. Exponential speedup for quantum chemistry.
Drug Discovery
QPEQPE for molecular binding energy. 130k physical qubits, 18 logical. Exponential speedup for pharmaceutical Hamiltonians.
Factorization
CalibratedShor's algorithm (8 qubits) with 20-run calibration ensemble. Period=7.0 ± 1.96 (95% CI). 77k physical qubits, 25 logical, 6 T-gates.
Materials Discovery
QPEQPE for band gap estimation via tight-binding Hamiltonian. 132k physical qubits, 18 logical. Exponential speedup for correlated materials.
Error Correction
Calibrated3-qubit repetition code with 20-run calibration ensemble. 100% correction rate. 1.8k physical qubits.
Nuclear Physics
QPEQPE for deuteron binding energy via EFT Hamiltonian. 132k physical qubits, 18 logical. Exponential speedup for nuclear many-body systems.
Photovoltaics
CalibratedQuantum walk exciton transport with 20-run calibration ensemble. 138k physical qubits, 12 logical.
Quantum Chromodynamics
CalibratedTrotter lattice gauge with 20-run ensemble (Wilson=0.47 ± 0.066, 95% CI). 131k physical qubits, 9 logical.
Methodology Paper
Covers the maturity gate model, Troyer utility-scale filters, 9 algorithm families, automated CI validation, and Azure Quantum integration.
Read Paper →Cite This Work
@software{rall2026quantum,
author = {Rall, Werner},
title = {Quantum Grand Challenges},
year = {2026},
doi = {10.5281/zenodo.19222021}
}Quick Start
Setup
git clone https://github.com/WernerRall147/quantum-grand-challenges.git
cd quantum-grand-challenges
pip install qsharp numpy scipy matplotlibRun a Problem
cd problems/01_hubbard
make classical # baseline
make build # Q# compilation
make run # executeEvaluate
pip install azure-cosmos azure-search-documents
python agents/orchestrator/evaluate.py \
"Simulate ground state of a 50-atom catalyst"