PortfolioArchive v2.4NDA — Restricted

Demonstration
& Research
Archive.

Live quantum simulations, recorded demonstrations, annotated research outputs, and curated case studies for institutional review. All content is classified for McKinsey, CERN, NASA, and Bain briefings.

6Video Demos
4Live Simulations
18Downloads
6Case Studies
Train Bridge — Featured VideoTrain_Bridge_15_to_121.mp4View on Main Site →
01 — Video Demonstrations

Recorded Research
Demonstrations

Six recorded demonstrations covering every major algorithm and platform module. Produced for institutional briefings — full versions require NDA signature.

18:42
Algorithm Demo

VQE Energy Landscape — PGM-Free Catalyst Simulation

End-to-end walkthrough of our Variational Quantum Eigensolver pipeline on IBM Sherbrooke. Shows molecular Hamiltonian construction, ansatz selection, and convergence to ground state energy for four candidate iridium-replacement materials.

IBM Quantum1024 Qubits2024-Q3
22:11
Platform Demo

QAOA Real-Time Grid Optimization — GridOS in Action

Live demonstration of GridOS dispatching a 10MW electrolyser fleet against a variable wind generation profile. QAOA circuit depth benchmarked against classical MPC baseline — 34% improvement in LCOH demonstrated in real time.

D-Wave / Rigetti10MW Fleet2024-Q3
14:08
System Demo

Quantum Digital Twin — Predictive Maintenance Walkthrough

The Digital Twin engine processing sensor telemetry via QNN inference. Demonstrates a stack membrane degradation event predicted 41 days ahead of actual failure — validated against historic NEPTUNE-001 data from ITM Power's Lingen facility.

PennyLane QNN41-Day Lead2024-Q2
16:33
Infrastructure Demo

Satellite Intelligence Layer — PGM Supply Chain Monitoring

Automated processing of Planet Labs daily imagery over South African and Zimbabwean PGM mining operations. Quantum kernel classifier detects shipping volume anomalies 8–12 weeks before they impact spot markets.

Planet Labs3m Resolution2024-Q1
11:20
Benchmark Demo

QML vs Classical SVM — Electrolyser Fault Classification

Head-to-head benchmark: Quantum Kernel SVM vs. classical RBF-SVM on a 5,200-sample electrolyser fault dataset. Quantum model achieves 97.3% recall at 10% training data versus classical model requiring 60% for equivalent performance.

TF Quantum97.3% Recall2024-Q2
19:05
Finance Demo

Quantum Monte Carlo — Dynamic Project Finance Risk Report

Live generation of a probabilistic risk report for a 200MW offshore hydrogen project. Quantum amplitude estimation provides quadratic speedup over classical Monte Carlo. Output accepted as bankability supplement by institutional lender in pilot.

Azure Quantum200MW Project2024-Q3
02 — Live Simulations

Interactive Quantum
Simulation Terminals

Four embedded simulation interfaces — each visualising live-computed outputs from our quantum algorithm stack. Hover to interact. All data is representative; live QPU feeds require authenticated API key.

VQE — H₂ Energy Landscape
Converged
-1.137E₀ (Hartree)
128Circuit Depth
1,024Qubits Used
0.991Fidelity
iter: 847 / 1000
QAOA — Grid Dispatch Circuit
Executing p=3
Rx Gate
CNOT
Rz Gate
Measure
Digital Twin — NEPTUNE-001 Feed
Live · 2s refresh
SensorReadingStatusLoad
Cell Voltage1.842 VNormal
Stack Temp68.4 °CNormal
Membrane ΔP31.2 barWatch
H₂ Purity99.97%Normal
Current Dens.1.8 A/cm²Normal
QNN Health0.94 / 1.0Normal
Catalyst Deg.12.3%Watch
Next Maint.41 daysNormal
ITM Power NEPTUNE-001 · Lingen, DE
QMC — Project Risk Distribution
10k Scenarios
NPV Distribution — 200MW Offshore H₂ Project (10,000 QMC Scenarios)
-$42M-$20M$0+$24M+$48M+$71M
$24MMedian NPV
6.8%Project WACC
$8MVaR (95%)
87%P(NPV > 0)
03 — Research Output

Publications, Preprints
& Technical Reports

Peer-reviewed publications, arXiv preprints, technical white papers, and institutional reports. All full-text access requires NDA. Abstract and methodology sections are openly available.

Technical Report — 2024-TR-002

QAOA Performance Benchmarks vs. Classical MPC for Electrolyser Fleet Dispatch

34pp · Restricted · Q3 2024
White Paper — 2024-WP-001

Quantum Monte Carlo for Green Hydrogen Project Finance: A Practitioner's Guide

28pp · Open Abstract · Q2 2024
Conference Paper — IEEE QCE 2024

Quantum Kernel Methods for Industrial Anomaly Detection: Electrolyser Case Study

8pp · Published · Sep 2024
Dataset — Zenodo DOI:10.5281/XXXXX

PEM Electrolyser Multi-Sensor Dataset: 18 Months Operational Data (NEPTUNE-001)

4.2GB · CC-BY-NC · 2024
04 — Downloads

Technical Resources
& Documentation

18 downloadable resources across four categories: PDFs (reports, papers), Jupyter Notebooks (algorithm implementations), datasets, and source code. NDA required for restricted items.

ResourceTypeDescriptionAccessSizeDownload
VQE Catalyst Pipeline — Full CodebaseCODEComplete Qiskit implementation of our VQE pipeline including Hamiltonian construction, UCCSD ansatz, and noise mitigation modules.NDA Required18.4 MB
QAOA GridOS — Reference ImplementationCODEPennyLane + Qiskit hybrid implementation of the QAOA dispatch algorithm. Includes SCADA interface adapters and REST API wrapper.NDA Required12.1 MB
VQE Tutorial — H₂ Molecule Energy (Qiskit)NBSelf-contained Jupyter notebook demonstrating VQE for the hydrogen molecule. Runnable on IBM Quantum free tier. No NDA required.Open2.3 MB
QAOA MaxCut Routing — Tutorial NotebookNBIntroduction to QAOA via the MaxCut problem, extended to hydrogen logistics routing. Includes benchmarking against classical greedy heuristics.Open1.8 MB
NEPTUNE-001 Operational Dataset (18 months)DS4.2GB anonymised multi-sensor dataset from ITM Power NEPTUNE-001 electrolyser. 128 channels at 1Hz. Labelled fault events. Parquet + CSV formats.NDA Required4.2 GB
QMC Project Finance — Practitioner White PaperPDF28-page practitioner guide on applying Quantum Monte Carlo to hydrogen project finance. Open abstract; full text available on NDA.Abstract Free3.1 MB
QAOA vs Classical MPC — Benchmark ReportPDF34-page technical report with full experimental methodology, hardware specifications, and statistical significance analysis of GridOS benchmark results.NDA Required5.8 MB
QML Anomaly Detection — IEEE QCE 2024 PaperPDF8-page conference paper. Published open-access. Full methodology for quantum kernel SVM applied to industrial fault classification.Open Access0.9 MB
Digital Twin Architecture — Technical SpecificationPDFSystem architecture document covering QNN integration, Kalman filter fusion, IoT data pipeline, and API specifications for the Quantum Digital Twin Engine.NDA Required4.4 MB
Post-Quantum Cryptography — Security BriefingPDF12-page briefing on NIST PQC standards implementation for industrial control systems. Covers CRYSTALS-Kyber, CRYSTALS-Dilithium, and QKD integration strategy.Abstract Free2.2 MB
Satellite Supply Chain Monitor — Tutorial NotebookNBJupyter notebook demonstrating Google Earth Engine + quantum kernel classifier pipeline for satellite imagery classification. Uses openly available Sentinel-2 data.Open3.6 MB
Series A Grant Prospectus — Pitch DeckPDF10-slide investor pitch deck. Full financial model, market sizing, and team credentials. Full version requires NDA; summary deck open.Summary Open6.1 MB
05 — Case Studies

Applied Research
Outcomes

Six applied case studies where our quantum algorithms have produced measurable outcomes — validated results from pilot deployments, retrospective analyses, and controlled simulations.

CS — 001

VQE Iridium Reduction — ITM Power Catalyst Simulation

VQE simulation of 24 transition-metal-oxide catalyst candidates for PEM electrolysis. Four candidates identified with stability within 0.08 eV of iridium oxide baseline. One candidate advancing to physical synthesis. Estimated material cost reduction: 78%.

78%Cost Reduction
4Candidates
1yrvs 6yr Classical

IBM Quantum · 2024 · Restricted

CS — 002

GridOS QAOA Pilot — 10MW Electrolyser, Lingen DE

30-day live pilot of GridOS QAOA dispatch on ITM Power's Lingen hydrogen facility. Electrolyser operated against real-time RWE wind generation profile. LCOH reduced from €5.12/kg to €3.41/kg. Ancillary service revenue: €48,000 in pilot month.

34%LCOH Reduction
€48kAncillary Revenue

D-Wave / Rigetti · 30-Day Pilot · 2024

CS — 003

Digital Twin — NEPTUNE-001 Stack Failure Prediction

Retrospective validation of QNN predictive maintenance model on 18 months of NEPTUNE-001 data. Model correctly predicted 9 of 10 critical stack events with average lead time of 38 days. Single false negative: minor membrane micro-crack (sub-critical). 0 false positives.

38dAvg Lead Time
90%Recall
0False Positives

PennyLane QNN · Retrospective · 2024

CS — 004

QMC Risk Report — Yara 200MW Green Ammonia Project

QMC risk report generated for a 200MW green hydrogen-to-ammonia project. 10,000 Monte Carlo scenarios computed via quantum amplitude estimation on Azure Quantum. Report submitted to lead lender. WACC accepted at 6.8% vs. initial demand of 9.1%. Financing cost saving: $14M over project life.

2.3%WACC Reduction
$14MFinancing Saved

Azure Quantum · Accepted by Lender · 2024

CS — 005

Satellite PGM Monitor — Rustenburg Retrospective Analysis

Retrospective application of our satellite quantum kernel classifier to 2023 Rustenburg PGM mining disruption. Model trained on 2022 baseline. Event detected in satellite imagery 10 weeks before spot market price impact. Live deployment would have enabled pre-emptive hedging worth ~$2.3M for a typical electrolyser manufacturer.

10wkEarly Warning
$2.3MHedge Value

Planet Labs · Retrospective · 2023

CS — 006

QKD Grid Security — Critical Infrastructure Pilot

6-week pilot of Quantum Key Distribution for SCADA communications across a hydrogen grid control system. Zero key compromise events. Latency overhead: 1.8ms (acceptable for grid timescales). Post-quantum cryptography layer (CRYSTALS-Kyber) implemented simultaneously. Infrastructure operator is advancing to full deployment.

0Compromises
1.8msLatency Add

Toshiba QKD · Advancing to Full Deploy · 2024

06 — Research Timeline

Programme Milestones
& Exhibition History

Chronological research programme milestones, institutional presentations, and planned future exhibition dates.

2022Q4

Research Initiative Founded — Sheffield, UK

Post-doctoral research programme established at the interface of quantum computing and industrial electrochemistry. First IBM Quantum access granted. Initial VQE benchmarks conducted on 7-qubit ibm_nairobi processor.

2023Q1

Planet Labs Partnership — Satellite Data Pipeline Operational

Satellite intelligence layer operational with Planet Labs daily feed. First retrospective supply chain analysis conducted on 2022 Rustenburg data. Quantum kernel classifier trained and validated against 18 months of archival imagery.

2023Q3

NEPTUNE-001 Dataset Acquired — ITM Power Partnership

18-month operational dataset from ITM Power's NEPTUNE-001 electrolyser at Lingen facility. QNN predictive maintenance model trained and retrospectively validated — 90% recall at 38-day average lead time on critical fault events.

2024Q1

IEEE QCE 2024 Paper Accepted — QML Anomaly Detection

Conference paper "Quantum Kernel Methods for Industrial Anomaly Detection" accepted at IEEE Quantum Computing and Engineering 2024. First peer-reviewed publication from the programme. Open-access published September 2024.

2024Q2–Q3

GridOS 30-Day Live Pilot — Lingen Facility

First live deployment of GridOS QAOA dispatch on a 10MW electrolyser. 34% LCOH reduction and €48,000 ancillary service revenue documented. QMC risk report accepted by institutional lender for Yara 200MW project. QKD pilot initiated with grid operator.

2024Q4

arXiv Preprint Submitted — Flagship VQE Paper

Flagship preprint "Quantum Advantage in Green Hydrogen Production" submitted to arXiv and Nature Energy. Demonstrates 4.2× acceleration over DFT for 30+ heavy atom systems. Four PGM-free catalyst candidates identified for physical synthesis.

2025Q1 — Planned

McKinsey, CERN, NASA & Bain Institutional Briefings

Scheduled institutional briefings for grant panel review. Presentations to McKinsey Global Institute, CERN Knowledge Transfer group, NASA JPL Quantum Initiative, and Bain Capital's deep-tech portfolio team. Series A roadshow initiation.

2025Q2 — Target

Series A Raise — $50M Target Close

Target close of $50M Series A. Deployment across QPU compute time reservation, team expansion (8 senior hires), and three anchor commercial pilot programmes. GridOS commercial launch and Materials API beta release.