Exponential Speed.
Linear Certainty.
Complex energy portfolios with multi-asset correlations take hours to simulate on traditional CPUs. Durga Analytics utilizes Quantum-Inspired Algorithms to compress simulation runtimes from hours to seconds, enabling real-time Value-at-Risk (VaR) and complex portfolio optimization.
Beyond Classical Constraints
Accelerated Monte Carlo
Utilize Quantum Amplitude Estimation (QAE) principles to achieve a quadratic speedup in convergence. Reach target confidence intervals with 1,000x fewer samples than classical methods.
Combinatorial Optimization
Solve complex asset allocation and battery dispatch problems. Our QUBO (Quadratic Unconstrained Binary Optimization) solvers navigate vast solution spaces to find global optima that classical heuristics miss.
Hybrid Cloud Solvers
Seamlessly offload heavy lifting to our quantum-inspired cloud tensor engines. Integrate directly with your existing ETRM risk modules via a single API call.
Compressing the Solution Space
Traditional risk engines are limited by the "Curse of Dimensionality." As you add more correlated assets, the computing power required grows exponentially. Quantum techniques flip the script, allowing for deeper, more granular analysis of tail-risk without the hardware bloat.
Real-Time VaR
Recalculate portfolio Value-at-Risk across 100k+ scenarios in under 10 seconds.
Stress Test Expansion
Run 50x more stress scenarios in the same daily batch window.
Quantum-Inspired Stack
Quantum Algorithm Layer
QAE, QAOA, and Variational Solvers optimized for Finance.
Tensor Processing Units (TPUs)
Classical hardware simulating quantum logic for immediate production use.
ETRM Integration API
Standardized JSON output compatible with legacy reporting tools.
Prepare for the Quantum Advantage
Quantum computing isn't just "coming"—the algorithms are here. Don't let your risk infrastructure become a legacy bottleneck.
Request a Quantum Proof-of-Concept