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Trusted evaluation for enterprise-grade pilots

Applied Quantum Challenges for Enterprise Decision-Making

Validate feasibility, benchmark quantum and quantum-hybrid approaches, and evaluate solutions in a vendor-neutral environment.

Vendor-neutral executionReproducible by defaultAudit-ready evidenceHybrid classical-quantum
Live Evaluation
Quantum + classical benchmarking
Active
Environment validationPassed

Containers locked, deps pinned

Submission checksQueued

Next run scheduled in 2m

Result comparatorsReady

Baselines + hybrid stack

Next execution window02:45 UTC

Backed by

IF

Danish Innovation Fund

Innovationsfonden

IF

InnoFounder

Current program participant

How It Works

A structured workflow that enables enterprises to validate solutions and developers to demonstrate capabilities.

๐ŸŽฏ
Step 01

Define problem and evaluation criteria

Enterprise stakeholders specify the challenge scope, constraints, and success metrics in collaboration with technical reviewers.

๐Ÿงช
Step 02

Developers submit reproducible solutions

Solution providers submit code, documentation, and reproducibility artifacts that demonstrate technical feasibility.

๐Ÿ“Š
Step 03

Results benchmarked and reviewed

Submissions are evaluated against defined criteria with full audit trails for organizational decision-making.

Real-world validation

Example Challenges

Enterprise problems that require validation, benchmarking, and reproducible evidence for adoption decisions.

Portfolio Optimization Under Regulatory Constraints

Enterprise

Evaluate quantum and classical approaches for compliance-aware asset allocation.

OutcomeFeasibility assessment for production deployment

Problem

Combinatorial Optimization

Data

Synthetic financial data

Execution timeSolution qualityConstraint satisfaction

Supply Chain Network Design

Enterprise

Benchmark approaches for multi-modal logistics optimization with real-world constraints.

OutcomeVendor selection and implementation roadmap

Problem

Mixed-Integer Programming

Data

Anonymized logistics data

Cost reductionDelivery reliabilityCarbon footprint

Anomaly Detection in Manufacturing Sensor Data

Developer

Compare ML and quantum-enhanced approaches for real-time quality control.

OutcomeTechnical proof of concept for edge deployment

Problem

Time-Series Analysis

Data

Simulated sensor readings

Detection accuracyInference latencyFalse positive rate
Example: Submission Command
$ synapse-q submit \
  --challenge portfolio-optimization \
  --solution ./my-solution \
  --config submission.yaml

โœ“ Environment validated
โœ“ Dependencies resolved
โœ“ Reproducibility checks passed
โžœ Submission ID: sub_ark2x9pm
โžœ Status: Queued for evaluation

Recent evaluations

Live runs across industries

Portfolio Optimization

Scoring

Aegis Capital

Stack: QAOA + classical baseline

ETA1m 20s

Route Planning

Queued

UrbanRoute

Stack: Hybrid annealing

ETA3m 05s

Molecular Energy

Complete

Helix Bio

Stack: VQE vs HF baseline

ETAโ€”

Free Tools

Prepare Before You Submit

Check your submission format and assess your team's readiness โ€” no account required.

Submission Validator

Check your file format, size, and structure before uploading. Supports .py, .ipynb, .json, and .zip files.

Validate Your File

Readiness Assessment

14-question assessment across technical readiness, infrastructure, team preparation, and governance. Shareable results.

Assess Your Readiness

Ready to Validate Solutions

Whether you need to assess technical feasibility or demonstrate capabilities, Synapse Q provides the infrastructure for credible evaluation.

ENTERPRISE

For Enterprises

Define challenges that reflect your operational constraints and evaluate solutions against your internal criteria.

  • - Custom evaluation frameworks
  • - Vendor-neutral benchmarking
  • - Audit-ready documentation
DEVELOPER

For Developers

Demonstrate technical capabilities through reproducible submissions that meet enterprise evaluation standards.

  • - Clear challenge specifications
  • - Structured feedback loops
  • - Recognition for quality submissions