Copenhagen Quantum
CoQu delivers quantum-enhanced software for finance, telecommunications, and defense, applying quantum algorithms to portfolio optimization and anomaly detection. Its Quantum Portfolio Optimization targets higher risk-adjusted returns while accounting for diversification, transaction costs, and investor constraints, while its Quantum Anomaly Detection reduces false positives in fraud detection and identifies fiber-network faults and physical threats in high-dimensional data.
- Quantum Computing
- Financial Technology
- Defense Tech
- Telecommunications
- Software Only
- Cybersecurity
Funding
Founders
Founder details are not available yet.
Product
Problem
Classical optimization and anomaly-detection methods struggle with the high-dimensional, constrained problems common in modern finance, telecommunications, and defence operations. This leads to suboptimal portfolio returns, elevated false-positive rates in fraud detection, delayed identification of network faults, and increased downtime from physical and cyber threats.
Solution
CoQu provides quantum-enhanced software solutions that apply quantum algorithms to complex optimization and detection challenges. Quantum Portfolio Optimization (QPO) targets higher risk-adjusted returns while explicitly accounting for diversification, transaction costs, and investor constraints. Quantum Anomaly Detection (QAD) for finance uncovers suspicious patterns and prioritizes the most relevant cases, reducing false positives. A separate QAD deployment for telecommunications and defence identifies emerging fiber-network faults and physical threats in high-dimensional data, enabling earlier intervention and reduced cyber risk.
Target Audience
Primary customers are financial institutions seeking stronger portfolio construction and fraud detection, as well as telecommunications operators and defence organizations requiring advanced network surveillance and threat identification.
Features
- Quantum Portfolio Optimization incorporating diversification, transaction costs, and custom investment constraints
- Quantum Anomaly Detection for finance that reduces false positives and prioritizes high-impact fraud and risk cases
- Quantum Anomaly Detection for telecommunications and defence that identifies fiber-network faults, physical threats, and cyber risks in high-dimensional data
- Application of quantum-enhanced algorithms to real-world industrial-scale problems