Quantum Computing in Production — 8 Verified Industry Applications
1. Drug Discovery — VQE on 156 Qubits
The pharmaceutical industry spends $2.6 billion and 12 years to bring a single drug to market. 90% of drug candidates fail in clinical trials — often because classical simulation cannot accurately predict binding affinity at the quantum mechanical level. Q-MUMMA's VQE pipeline changes this.
Verified Results. OPTIMIZER molecule: −1.5479 Hartrees. Vaccinae candidate: 0.3918 Hartrees. BIO_VACCINAE_CHEM: −0.9479 Hartrees. All on IBM ibm_marrakesh 156Q. All PQC-signed. NSCLC, Nipah, HIV, KRAS pipelines executed.
2. PQC Compliance — NIST FIPS 204 Migration
NIST finalised ML-DSA-65 (FIPS 204) and ML-KEM-1024 (FIPS 203) in 2024. All US federal agencies must migrate by 2030. Q-MUMMA provides the 14-layer scanning, migration analysis, and quantum-seeded PQC key generation to execute this migration.
3. EV Q-BMS — Quantum Battery Management
EV battery State of Health (SoH) estimation is a combinatorial optimisation problem — optimal charge/discharge scheduling across thousands of cells, considering temperature, degradation curves, and cycle history simultaneously.
Q-MUMMA's Jupiter Protocol: 56+ IBM ibm_heron_r2 hardware tests. 18,000-cycle degradation modelling at quantum mechanical level — capturing lithium dendrite formation dynamics classical BMS models miss entirely.
4. BESS Grid Storage — QAOA Dispatch Optimisation
Battery Energy Storage Systems dispatch optimisation is a multi-objective QUBO problem. Classical greedy schedulers sacrifice optimality for speed. QAOA finds provably better solutions in the same time — reducing dispatch cost while maintaining grid stability SLAs.
5. Semiconductor & EDA — Sub-3nm Verification
Classical SPICE simulation fails at sub-3nm process nodes because quantum tunnelling effects dominate. Q-MUMMA's quantum circuit simulation captures these effects — enabling pre-silicon verification that classical EDA tools cannot achieve.
6. Carbon Credits — Quantum-Verified Tokenisation
Carbon credit fraud costs the market billions annually — fraudulent credits, double counting, unmeasured sequestration. Q-MUMMA tokenises verified carbon credits on Vajra L1 blockchain with ML-DSA-65 signatures, creating an immutable, independently verifiable audit trail.
7. RWA Tokenisation — PQC-Native L1 Blockchain
Vajra L1 is Q-MUMMA's purpose-built blockchain — pure ML-DSA-65 NIST FIPS 204. ECDSA completely removed. Five Aumtrix IP assets already tokenised on-chain. Real-world asset tokenisation with post-quantum security from day one.
8. Drone Systems — Quantum Routing & Planning
Multi-drone fleet routing with airspace constraints, weather avoidance, priority missions, and battery SoH — a combinatorial problem QAOA solves better than classical planners at scale. Q3 2026 launch.