Superpositions Studio
Describe your problem in plain language. Get quantum code and research-grade PDF report. Run on a classical and quantum computer. Benchmarked against classical.
Built for Every Quantum Explorer
From quantum specialists to classical developers exploring quantum advantage, Superpositions Studio serves the entire quantum computing ecosystem.
Quantum
Developers
Export quantum code
Optimize quantum circuit
Test across multiple QPUs
Deploy to quantum hardware
AI/ML
Practitioners
Educate about quantum
Apply quantum to ML task
Guided by AI co-pilot
No physics required
Enterprise
R&D
Build quantum solution
Benchmark vs classical
20+ industry use cases
Run on quantum hardware
Academic
Researchers
From hypothesis to paper
Test on your data
Reproducible experiments
Scientific-style reports
The Quantum Development Platform
From business problem to practical quantum solution in 5 steps.
Describe Your Problem
I need to detect rare fraudulent card transactions in a stream of 20M payments a day using my rules and a trained risk score.
Or choose a template:
Oracle-based rare-event search. Build a reversible oracle that flags a transaction as fraud/not-fraud from rules or a scorer, then search for marked items using amplitude amplification.
Grover Search (ML oracle)
Dataset Requirements
Required datasets will appear here...
Recommended
Best for your use caseQSVM (Quantum Support Vector Machine)
Uses quantum kernels for classification. Reaches feature spaces hard to simulate classically; gains depend on the data and the chosen embedding.
Alternative Algorithms
Classical Baseline
Classical SVM (RBF kernel)
Standard support vector machine for comparison~8 minutes
88%
Why QSVM?
Auto-Generated Quantum Circuit
import pennylane as qml
from pennylane import numpy as np
dev = qml.device("default.qubit", wires=4)
@qml.qnode(dev)
def qnn(x, w):
qml.AngleEmbedding(
x,
wires=range(4),
rotation="Y",
)
qml.layers.StronglyEntanglingLayers(w, wires=range(4))
return qml.expval(qml.PauliZ(0))
w = qml.init.strong_ent_layers_normal(1, 4, seed=1)
print(qnn(np.ones(4), w))Code Features
Available Backends
Prediction Visualization
- Actual Values
- Predicted Values
Architecture & Model Details
8
3
114
42s
Business Impact
Measurable value delivered by the model$127,500
234%
94%
67%
Performance Comparison
Classical
Quantum
Quantum Advantage
Future Projections
Next 12 months
With error rates improving by 10x, expect 3x additional speedup2-3 years
Fault-tolerant systems could achieve 100x speedup for large portfoliosScaling Analysis
Tclassical = O(n3)
Tquantum = O(n2)
Key Features
Everything you need to take a real-world problem to a benchmarked quantum result.
AI co-pilot
A multi-agent system designs experiments, recommends algorithms, generates code, and interprets results — in plain language.
Industry templates
Validated starting points for finance, energy, manufacturing, healthcare and chemistry.
Hardware-agnostic execution
Run the same job on simulators or real QPUs (IBM, IonQ, IQM and others). Switch backends without rewriting code.
Reproducible outputs
Seed-controlled runs, downloadable code and a PDF report with full methodology — every result is auditable and repeatable.
Honest benchmarking
Every quantum result is placed next to its classical baseline, with concrete cost, runtime and accuracy figures.
Built for results
Explore the platformResearch-grade PDF reports
Real technical documents — methodology, charts, metrics, recommendations and bibliography. Every run produces a complete paper you can share with stakeholders.
Download Sample ReportTransparent and credit-based
Start free, subscribe when you're ready, top up only when you need to. Unused credits roll over — no lock-in.
€0
for 30 days
€20
/ month
€30
for 3,000 credits
Lock in today's price
Sign up now and your €20/month rate is yours to keep even when we raise prices for new customers later.Ready to see what quantum does
for your problem?
Start with a real use case. In minutes, get runnable code, one-click runs on simulators or QPUs, full cost/speed/accuracy metrics, and a shareable PDF report.