This document provides a technical, implementation-oriented walkthrough of each user interface screen in Quantum Futures Interactive. It is written for engineers, designers, researchers, and reviewers who require a structured understanding of screen purpose, user flow, captured data, system behavior, and technical context.
The UI documentation mirrors the appendix of the ICBC demo manuscript and reflects the implemented interaction flow used in live demonstrations and workshops.
✅ Scientific Note
References to Nobel Prize recognition within the experience reflect real-world scientific developments. References to the 2025 Nobel Prize in Physics align with the official Nobel Foundation press release:
https://www.nobelprize.org/prizes/physics/2025/press-release/
Quantum Futures Interactive is designed as an educational and exploratory interface demonstrating how advances in quantum information science influence modern digital infrastructure, particularly blockchain-based distributed systems.
Recent progress in quantum physics has enabled:
- quantum state control and measurement,
- scalable qubit implementations,
- and cloud-accessible quantum computing platforms.
These developments have direct implications for cryptography. Quantum algorithms — most notably Shor’s algorithm — theoretically weaken public-key cryptosystems such as RSA and elliptic curve cryptography (ECDSA), which are widely used in blockchain identity and transaction validation. As a result, industry and research communities are transitioning toward post-quantum cryptography (PQC).
The experience does not claim operational quantum advantage. Instead, it illustrates:
- why quantum progress motivates long-term cryptographic migration,
- how post-quantum standards (e.g., NIST PQC) are emerging,
- how infrastructure choices affect performance, sustainability, and trust,
- and how interdisciplinary stakeholders participate in technology adoption.
- UX Flow Summary
- Screens
- 🌐 Interdisciplinary Contributions & SDG Alignment
- 📖 Glossary
- ⚖️ Limitations & Non-Claims
The interface follows a 7-page guided interaction flow designed to mirror real-world adoption processes in emerging infrastructure technologies.
- 🚀 Page 1 — Scientific context
- ⚛️ Page 2 — Quantum threat & PQC transition
- ✅ Page 3 — Consent & participation
- 💬 Page 4 — Sentiment capture
- 📊 Page 5 — Aggregation & voting
- 🧪 Page 6 — Device & infrastructure selection
- 🔐 Page 7 — Cryptographic artifact generation
- Consent acknowledgement
- Single-word sentiment input
- Technology prioritization vote
- Selected quantum execution environment
- Generated identifier and key metadata
The flow follows three experience design principles:
| Principle | Pages | Purpose |
|---|---|---|
| Context → Understanding | Pages 1–2 | Establish scientific and security foundations |
| Participation → Reflection | Pages 3–5 | Convert learning into interaction and feedback |
| Decision → Outcome | Pages 6–7 | Connect infrastructure choice to cryptographic output |
Figure 1. Scientific context introducing physical foundations of quantum computing.
Purpose
Establish scientific grounding by introducing macroscopic quantum phenomena and their relationship to modern quantum computing systems.
Technical Context
- Superconducting circuits and Josephson junctions as artificial atoms
- Quantized energy levels enabling qubit construction
- Microwave-driven gate operations and measurement
- Relationship between quantum hardware advances and cryptographic implications
User Actions
- Review contributor profiles and context cards
- Enter guided interaction flow
Figure 2. Quantum threat model and post-quantum cryptographic transition.
Purpose
Explain how quantum algorithms affect blockchain cryptographic security.
Technical Elements
- Quantum Vulnerability Index visualization
- Shor’s algorithm impact on:
- RSA
- ECDSA
- Diffie–Hellman
- Grover’s algorithm effects on:
- SHA-256
- AES security margins
- Introduction to PQC:
- lattice-based cryptography
- hash-based signatures
- post-quantum key encapsulation
Outcome
Users understand why blockchain infrastructure must migrate toward quantum-resistant primitives.
Figure 3. Participation overview and consent gate.
Purpose
Transition from passive learning into active participation while enforcing transparency.
Technical Context
- Anonymous session creation
- Consent acknowledgement before data submission
- Governance-oriented participation model aligned with decentralized systems
User Actions
- Accept participation terms
- Proceed to interactive stages
Figure 4. Single-word sentiment capture.
Purpose
Capture lightweight perception data reflecting public understanding of quantum computing.
Implementation Notes
- Single-word input normalized server-side
- Anonymous storage per session
- Aggregated for visualization in Page 5
Technical Relevance
Models perception feedback mechanisms influencing technology adoption and governance decisions.
Figure 5. Aggregated sentiment visualization and technology prioritization.
Purpose
Aggregate community perception and simulate ecosystem prioritization.
Technology Voting Options
Participants select one of:
- Post-Quantum Signatures
- Quantum Key Distribution (QKD)
- Hash-based Cryptography
- Quantum Random Number Generation (QRNG)
- Quantum-Safe Smart Contracts
- Zero-Knowledge Proofs (ZKPs)
Technical Context
- Models decentralized governance and consensus formation
- Illustrates socio-technical coordination required for cryptographic migration
- Demonstrates how infrastructure direction emerges from stakeholder priorities
Figure 6. Quantum execution environment comparison.
Purpose
Introduce infrastructure-level decision making through quantum hardware comparison.
Quantum Computing Paradigms
- Classical simulators (SV1, DM1, TN1)
- Trapped-ion QPUs (IonQ Aria, IonQ Forte, AQT IBEX Q1)
- Superconducting QPUs (IQM Garnet, IQM Emerald, Rigetti Ankaa-3)
- Neutral-atom systems (QuEra Aquila)
Displayed Metrics
- Qubit count
- Gate fidelity / quality
- Connectivity model
- Execution availability
- Sustainability indicators
Technical Insight
Demonstrates tradeoffs between performance, scalability, operational complexity, and environmental impact relevant to long-lived digital infrastructure.
Figure 7. Generated post-quantum artifact and execution metadata.
Purpose
Present a verifiable outcome representing the interaction journey.
Displayed Outputs
- Quantum-derived identifier
- Post-quantum public key
- Digital signature
- Device and execution metadata
- Job status and provenance data
Technical Context
Quantum-derived entropy is used as an input to a post-quantum cryptographic process, demonstrating how infrastructure decisions influence trust artifacts recorded in distributed systems.
The interaction flow connects technical concepts in quantum computing and blockchain infrastructure with interdisciplinary stakeholder perspectives. Each page represents both a user interaction step and a contribution point toward broader ecosystem understanding, reflecting how post-quantum migration involves research, engineering, governance, sustainability, and public engagement.
The table below mirrors Table I in the ICBC demonstration paper and maps experience stages to technical focus, contribution type, stakeholder communities, and relevant United Nations Sustainable Development Goals (SDGs).
| Screen | Focus (F) · Contribution (C) · Insight (I) | Communities Engaged | UN SDGs |
|---|---|---|---|
| 🚀 P1 — Scientific Context | F: Introduce post-quantum relevance to blockchain cryptography. C: Establish shared language linking quantum advances and blockchain trust assumptions. I: Prepare participants for quantum-safe technical concepts. |
👩🔬 Researchers · 🎨 Designers · 📚 Educators · 💼 Investors | SDG 4 · SDG 9 · SDG 16 |
| ⚛️ P2 — Quantum Threat Model | F: Explain quantum threats and migration motivation. C: Connect algorithmic advances to risks for blockchain signatures and data integrity. I: Show how discovery informs engineering and governance decisions. |
👩🔬 Researchers · 👨💻 Engineers · ⚖️ Governance | SDG 4 · SDG 9 · SDG 16 |
| ✅ P3 — Consent & Participation | F: Transition from learning to informed participation. C: Apply consent and responsible handling within a cryptographic workflow. I: Reinforce transparency as a basis for trusted infrastructure. |
🎨 Designers · 🏛️ Policy · 📚 Educators | SDG 4 · SDG 9 · SDG 16 · SDG 17 |
| 💬 P4 — Public Sentiment | F: Capture public perception with minimal effort. C: Contrast intuition with technical constraints of quantum-safe migration. I: Reveal communication gaps affecting adoption. |
📣 Public · 📚 Educators · ⚖️ Governance · 👩🔬 Researchers | SDG 4 · SDG 9 · SDG 16 · SDG 17 |
| 📊 P5 — Technology Voting | F: Display aggregated sentiment and preferences. C: Elicit priorities across quantum-safe infrastructure options. I: Illustrate ecosystem consensus formation. |
💼 Investors · ⚖️ Governance · 👨💻 Engineers · 👩🔬 Researchers | SDG 4 · SDG 9 · SDG 16 · SDG 17 |
| 🧪 P6 — Device Selection | F: Explore quantum execution environments via simulation. C: Compare architectures in performance, availability, and sustainability. I: Link infrastructure choices to strategic tradeoffs. |
👨💻 Engineers · 💼 Investors · 🌱 Sustainability · 👩🔬 Researchers | SDG 4 · SDG 9 · SDG 12 · SDG 13 · SDG 16 |
| 🔐 P7 — Artifact Generation | F: Generate a demonstrative post-quantum artifact. C: Provide execution metadata linking device selection and provenance. I: Connect learning to verifiable trust outputs. |
👨💻 Engineers · 👩🔬 Researchers · 📚 Educators · 💼 Investors | SDG 4 · SDG 9 · SDG 12 · SDG 13 · SDG 16 |
- 👩🔬 Researchers — scientific discovery and algorithm development
- 👨💻 Engineers — system implementation and infrastructure design
- 🎨 Designers — interaction and user experience development
- 📚 Educators — knowledge transfer and technical literacy
- 💼 Investors — strategic and ecosystem decision perspectives
- ⚖️ Governance — regulation and institutional oversight
- 🏛️ Policy — policy-making and institutional authority
- 📣 Public — non-specialist participants and users
- 🌱 Sustainability — environmental and lifecycle considerations
Across all pages, the experience demonstrates that post-quantum migration is not purely a cryptographic upgrade but a socio-technical transition involving performance constraints, sustainability tradeoffs, governance considerations, and collective decision-making across technical and non-technical communities.
| Term | Definition |
|---|---|
| Quantum Computing | Computing using superposition and entanglement. |
| Qubit | Basic unit of quantum information. |
| PQC | Cryptography secure against quantum attacks. |
| Shor’s Algorithm | Quantum factoring algorithm affecting RSA/ECC. |
| Grover’s Algorithm | Quantum search algorithm reducing brute-force complexity. |
| ECDSA | Signature scheme widely used in blockchain. |
| LWE | Learning With Errors problem used in PQC. |
| QPU | Quantum Processing Unit. |
| QRNG | Quantum Random Number Generator. |
| LCA | Life Cycle Assessment for environmental impact. |
Quantum Futures Interactive is an educational and demonstration system:
- It does not perform quantum cryptanalysis.
- Generated keys are demonstrative artifacts.
- Device representations may include simulated execution.
- Sustainability metrics are illustrative comparisons.
- Participation data is anonymized and aggregated.
The goal is to improve understanding of emerging technological transitions rather than provide operational security guarantees.






