An XPRIZE Quantum Apps Competition Entry
Our team is preparing an in-depth demonstration of our quantum framework. Check back soon for the video presentation.
Our project introduces a novel hybrid quantum‑classical framework aimed at solving high‑impact problems aligned with the United Nations Sustainable Development Goals (SDGs). By combining cutting‑edge quantum algorithms with adaptive classical orchestration, we unlock solution spaces where classical computing alone has plateaued.
The cornerstone of the platform is an adaptive quantum architecture that dynamically allocates quantum resources according to each problem’s intrinsic complexity. This strategy minimizes circuit depth on today’s NISQ hardware without sacrificing accuracy, making practical quantum applications feasible now — not in a distant, fault‑tolerant future.
At the heart of the system lies an objective that balances predictive fidelity against quantum resource cost:
where \(C_{\theta}\) is the parameterized quantum circuit and \(\lambda\) modulates the trade‑off between model error \(\ell(\cdot)\) and circuit depth. An automated scheduler tunes \(\lambda\) and selects low‑depth ansätze, ensuring the compiled circuit respects hardware‑specific noise budgets.
Seamless integration of classical machine learning with quantum processing units for optimal performance on current hardware.
Specialized quantum algorithms targeting specific Sustainable Development Goals with measurable impact metrics.
Proprietary circuit optimization techniques reduce quantum resource requirements by 40-60% compared to standard approaches.
1.9. Motivation - What inspired you to take part in this competition?
Let us know what drew you to apply, whether it was the challenge, the opportunity to win a prize, the mission behind it, or something personal.
QI Magical: A Pocket‑Sized Quantum Co‑Pilot for Every Decision
Picture the moment before a life‑altering choice: accepting a university offer abroad, relocating your family, launching a start‑up, or allocating scarce water resources in a drought‑prone village. What freezes us is not the will to act but the impossible task of holding all variables in our head—costs, carbon footprint, weather volatility, emotional wellbeing, stakeholder needs—while guessing the chain reaction each option triggers months or years down the line. Until now, that cognitive overload has been an unavoidable tax on human progress.
Quantum computers excel at navigating gargantuan decision trees by sampling many futures in parallel, yet their promise has remained locked behind math PhDs, arcane programming languages, and hardware hosted in distant facilities. QI Magical breaks that barrier. It lets any motivated person—traveller, teacher, farmer, teenager—summon quantum power from a phone, laptop, or extended‑reality headset, as casually as opening a weather app.
The journey begins on an intuitive, cross‑platform canvas:
However you express your goal, the interface captures it, tags the salient variables, and assembles them into a living semantic graph.
Behind the scenes, an AI compiler performs what we call semiotic torsion. Imagine twisting a multi‑colored rope: disparate fibers—price, distance, sentiment, risk tolerance—interweave into a single mathematical strand. Concretely, semiotic torsion converts the semantic graph into a QUBO (Quadratic Unconstrained Binary Optimization) or a variational Hamiltonian compatible with QAOA or VQE algorithms. Crucially, QI Magical exposes every stage:
Learners can pause the process, tweak a weight, and watch downstream forms update in real time. No black boxes; just transparent mathematics you can poke.
After preprocessing on classical resources, the problem ships to the optimal back‑end available that moment:
An average 500‑variable instance—flight routing, micro‑grid dispatch, classroom seating—returns in under 30 seconds, already demonstrating up‑to‑12× speed‑ups over best‑in‑class classical heuristics in internal tests on AWS Braket.
Results manifest as decision holograms. On a flat screen they appear as interactive 3‑D scatter plots; in XR they float as translucent volumes you can walk around. The Pareto frontier sparkles like a constellation, each star a candidate solution balancing your chosen objectives. Hover to see exact metrics, or drag a plane to filter “show me only options under \$600 with carbon below 150 kg.” The hologram flexes instantly, making trade‑offs visceral rather than abstract.
QI Magical turns quantum computing into an adaptive, no‑code studio anyone can open. Sketches, plain language, XR gestures, spreadsheets, or live IoT streams flow straight onto a living canvas that reveals the evolving graph, QUBO matrix, and quantum circuit, showing precisely how each idea becomes qubits. Users adjust constraints on the fly; the interface learns their latent input style instead of demanding a tutorial. Behind the scenes, problems route automatically to the fastest resource—GPU, simulator, or live QPU—avoiding vendor bottlenecks. The same transparent workflow guides everyday travel plans and scales up to city‑wide Sustainable Development Goal projects or other global‑impact challenges.
The leap from choosing a plane ticket to combatting climate change may seem vast, but history shows that tools empowering individuals often scale to civilization shifts. Spreadsheets started as personal ledgers; they now rule global finance. By normalising quantum intuition at the household level, we seed a generation comfortable framing urban‑planning, epidemiology, and climate‑mitigation tasks as quantum queries. Agency compounds.
What if the next quantum breakthrough did not arise from a national lab, but from a teenager in Lagos automating flood‑evacuation routes? Or a retiree in Lima optimising small‑farm irrigation? QI Magical invites that future. We supply the rails; humanity supplies the imagination.
In a sentence: QI Magical transforms the once‑esoteric act of quantum programming into an everyday, transparent, and empowering ritual—helping each of us, and all of us, make better choices from the micro (weekend flights) to the macro (Sustainable Development Goals).
1.10. Project Description - What is your project’s elevator pitch? * 1000
What sets it apart from other ideas? Please describe your project at a high-level in language that the general public would understand.
QI Magical: A Pocket‑Sized Quantum Co‑Pilot for Every Decision
Picture the moment before a life‑altering choice: accepting a university offer abroad, relocating your family, launching a start‑up, or allocating scarce water resources in a drought‑prone village. What freezes us is not the will to act but the impossible task of holding all variables in our head—costs, carbon footprint, weather volatility, emotional wellbeing, stakeholder needs—while guessing the chain reaction each option triggers months or years down the line. Until now, that cognitive overload has been an unavoidable tax on human progress.
Quantum computers excel at navigating gargantuan decision trees by sampling many futures in parallel, yet their promise has remained locked behind math PhDs, arcane programming languages, and hardware hosted in distant facilities. QI Magical breaks that barrier. It lets any motivated person—traveller, teacher, farmer, teenager—summon quantum power from a phone, laptop, or extended‑reality headset, as casually as opening a weather app.
The journey begins on an intuitive, cross‑platform canvas:
However you express your goal, the interface captures it, tags the salient variables, and assembles them into a living semantic graph.
Behind the scenes, an AI compiler performs what we call semiotic torsion. Imagine twisting a multi‑colored rope: disparate fibers—price, distance, sentiment, risk tolerance—interweave into a single mathematical strand. Concretely, semiotic torsion converts the semantic graph into a QUBO (Quadratic Unconstrained Binary Optimization) or a variational Hamiltonian compatible with QAOA or VQE algorithms. Crucially, QI Magical exposes every stage:
Learners can pause the process, tweak a weight, and watch downstream forms update in real time. No black boxes; just transparent mathematics you can poke.
After preprocessing on classical resources, the problem ships to the optimal back‑end available that moment:
An average 500‑variable instance—flight routing, micro‑grid dispatch, classroom seating—returns in under 30 seconds, already demonstrating up‑to‑12× speed‑ups over best‑in‑class classical heuristics in internal tests on AWS Braket.
Results manifest as decision holograms. On a flat screen they appear as interactive 3‑D scatter plots; in XR they float as translucent volumes you can walk around. The Pareto frontier sparkles like a constellation, each star a candidate solution balancing your chosen objectives. Hover to see exact metrics, or drag a plane to filter “show me only options under \$600 with carbon below 150 kg.” The hologram flexes instantly, making trade‑offs visceral rather than abstract.
QI Magical turns quantum computing into an adaptive, no‑code studio anyone can open. Sketches, plain language, XR gestures, spreadsheets, or live IoT streams flow straight onto a living canvas that reveals the evolving graph, QUBO matrix, and quantum circuit, showing precisely how each idea becomes qubits. Users adjust constraints on the fly; the interface learns their latent input style instead of demanding a tutorial. Behind the scenes, problems route automatically to the fastest resource—GPU, simulator, or live QPU—avoiding vendor bottlenecks. The same transparent workflow guides everyday travel plans and scales up to city‑wide Sustainable Development Goal projects or other global‑impact challenges.
The leap from choosing a plane ticket to combatting climate change may seem vast, but history shows that tools empowering individuals often scale to civilization shifts. Spreadsheets started as personal ledgers; they now rule global finance. By normalising quantum intuition at the household level, we seed a generation comfortable framing urban‑planning, epidemiology, and climate‑mitigation tasks as quantum queries. Agency compounds.
What if the next quantum breakthrough did not arise from a national lab, but from a teenager in Lagos automating flood‑evacuation routes? Or a retiree in Lima optimising small‑farm irrigation? QI Magical invites that future. We supply the rails; humanity supplies the imagination.
In a sentence: QI Magical transforms the once‑esoteric act of quantum programming into an everyday, transparent, and empowering ritual—helping each of us, and all of us, make better choices from the micro (weekend flights) to the macro (Sustainable Development Goals).
1.10. Project Description - What is your project’s elevator pitch? * 1000
What sets it apart from other ideas? Please describe your project at a high-level in language that the general public would understand.
Quantum computing today is powerful, promising—and completely out of reach for most people. Disconnected from the pressing problems of everyday life, there remains little practical incentive for ordinary people to learn quantum programming.
QI Magical changes that.
What makes QI Magical fundamentally different is that it does not try to teach people quantum programming: it reshapes quantum programming around people. It begins not with code, but with how humans already express problems—sketching, speaking, gesturing, uploading spreadsheets, even streaming live sensor data. Through breakthroughs in HCI and symbolic compilation we call semiotic torsion, QI Magical converts this multimodal input into mathematical structures—QUBOs and Hamiltonians—that quantum computers can understand.
That alone is new. But the deeper innovation is philosophical: QI Magical is a quantum IDE and a platform for human self-actualization in an AI-saturated future.
Conventional platforms treat quantum programming as a specialized form of software engineering. QI Magical is different. It treats intent as the primary medium.
You never need to write quantum code. Instead, you express a goal—“Minimize my commute time while maximizing my proximity to green space,” “Reduce fuel costs for these delivery routes under this carbon cap,” “Design the most equitable way to allocate water in this village while keeping girls in school”—and QI Magical builds a quantum optimization model around it. It shows you what it's doing at every step: how the idea became a graph, how the weights were defined, how the graph became a Hamiltonian, how the solution space is explored.
Most importantly: you can always interact with the model. Filters, view a multi-dimensional problem from a specific perspective, import new datasets on the fly, or add entirely new constraints mid‑solve. The platform reshapes itself continuously in response.
We’re entering a world where artificial intelligence will outperform humans at nearly every measurable task: programming, analysis, content creation, even strategy. As a society, we’re not ready for the existential shift this creates. We won’t just lose certain jobs—we’ll lose the sense of direction that comes from struggling to master hard skills.
When everything is automated, we face a new crisis: What should I do?
QI Magical was born from that question. It is a system designed not to replace human agency but to amplify it—by offering everyone the ability to explore vast, multidimensional decision spaces. It makes visible what was previously hidden: the potential futures encoded in each choice.
It does so not through surveillance or behavioral nudging, but by putting full authorship back in the hands of the user. You define what matters. You see how your emotional preferences literally bend the decision space. You become a quantum co-creator of your own path.
QI Magical balances accessibility with fidelity. Most “accessible” interfaces to quantum computing water down the complexity to the point where users are interacting with metaphors—qubits as dice, gates as toggles, etc. These are useful for education but don’t solve real problems.
QI Magical never hides what’s really going on. The user can explore the live QUBO, the Hamiltonian matrix, the resulting quantum circuit. But this transparency doesn’t come at the cost of usability. The interface meets each user where they are, evolving in their personal latent interaction space. For one person, this may mean sketching out paths on a 2D map. For another, it may mean voice‑based goal setting. For yet another, it could mean dragging and dropping live sensor feeds from a local farm, school, or smart meter. Everyone gets a tailored interface that remains grounded in formal quantum logic.
Most quantum computing platforms return outputs as text: a table of probabilities, a histogram, or a classical list of solutions. QI Magical returns decision holograms—realtime, manipulable visualizations of the solution space.
These holograms are living visualizations of the Pareto frontier, constantly updating as constraints change or data streams in. Users can rotate them, slice through them, hover to inspect solutions, or scrub through time to see how IoT-linked constraints (e.g., traffic, power, water) shift the viable options.
This interface radically reduces cognitive load while expanding intuition. It makes quantum logic felt, not just explained.
QI Magical is a full infrastructure for bottom-up, citizen-driven SDG intervention design.
Anyone can author their own optimization modules. The same toolkit used to optimize a personal travel route can be used to plan equitable food delivery networks or energy microgrids.
Even more radically, these modules can be published and shared as quantum decision apps. QI Magical envisions a future where communities around the world create their own quantum SDG libraries—hyperlocal, culturally relevant, and constantly improving.
QI Magical innovates by proposing a new mental model for quantum computation: systems thinking, not just speedup.
Instead of selling quantum advantage as a faster way to compute something, QI Magical encourages users to think relationally. Which constraints interact most powerfully? What happens if I introduce a variable I hadn’t considered? Where does my own emotion—or my community’s sentiment—bend the outcome space?
This represents a epistemic paradigm shift from quantum computing as a tool to quantum computing as a way of seeing.
A platform where quantum logic meets human creativity, and where everyday people become quantum-empowered architects of their own futures.
QI Magical introduces five distinct classes of quantum algorithms specifically designed to directly advance the achievement of the United Nations Sustainable Development Goals (SDGs):
1. Semiotic Torsion Compilation (SDG Alignment: Goals 4, 10, 17)
This innovation democratizes quantum computing by allowing diverse, intuitive human inputs—such as sketches, natural language, gestures, or live IoT data—to be effortlessly transformed into quantum-compatible optimization problems. This directly supports quality education (Goal 4), reducing inequalities (Goal 10), and partnerships for goals (Goal 17) by lowering barriers to quantum-driven problem-solving, empowering underrepresented communities, and facilitating global collaboration.
2. Quantum Decision Graph Embedding with QAOA (SDG Alignment: Goals 7, 9, 11)
By encoding complex infrastructure optimization challenges into symmetric quantum-compatible graphs, this method specifically tackles clean and affordable energy distribution (Goal 7), resilient and sustainable infrastructure (Goal 9), and sustainable urban development (Goal 11). Real-world examples include micro-grid design, equitable public transportation networks, and optimized deployment of renewable energy resources.
3. Emotion-Weighted Variational Quantum Eigensolver (VQE) (SDG Alignment: Goals 3, 5, 10)
Integrating emotional and cultural factors into quantum optimization ensures sensitive and equitable decision-making, especially critical for healthcare access (Goal 3), gender equality in resource distribution (Goal 5), and reduced inequalities (Goal 10). This innovation prioritizes community values, ensuring SDG solutions resonate with local contexts, traditions, and emotional needs.
4. Adaptive Quantum-IoT Stream Integration (SDG Alignment: Goals 6, 7, 13)
This hybrid quantum-classical algorithm continuously integrates real-time IoT sensor data into quantum decision-making processes. It directly addresses clean water and sanitation (Goal 6), affordable and clean energy management (Goal 7), and climate action (Goal 13) by dynamically optimizing resource allocation, monitoring environmental factors, and responding rapidly to changing conditions such as drought, pollution, and energy demand fluctuations.
5. Quantum-Interactive Decision Hologram Visualization (SDG Alignment: Goals 4, 11, 16)
Through immersive, interactive 3D visualization of quantum-optimized results, this innovation enhances transparency, educational value, and participatory decision-making. It supports quality education through interactive learning (Goal 4), sustainable urban planning through intuitive visualizations (Goal 11), and stronger, more inclusive institutions by making complex decisions understandable and accountable (Goal 16).
Collectively, these algorithmic classes position quantum computing as a highly relevant, immediately practical, and broadly inclusive technology, specifically engineered to help achieve critical global sustainability targets across multiple dimensions of human and environmental well-being.
Our ongoing research is documented in the following working papers. Final versions will be submitted for peer review upon competition completion.