Introducing Marqov: Orchestrate Confidently

The compute landscape is fragmenting. Your workloads now span GPUs, QPUs, classical clusters, and cloud providers—each with their own APIs, scheduling systems, and failure modes. Managing this complexity shouldn’t require a dedicated platform team.

The Problem: Hybrid Compute is Hard

Research and engineering teams building with quantum-classical systems face a unique set of challenges:

Provider Lock-in: Each quantum provider (IBM, AWS Braket, Azure Quantum, IonQ) has different APIs, SDKs, and execution models
Resource Fragmentation: GPU clusters, quantum processors, and classical compute live in separate silos with no unified view
Scheduling Complexity: Optimizing for cost, latency, and availability across heterogeneous hardware is a full-time job
Reproducibility Gaps: When experiments span multiple backends, tracking provenance and recreating results becomes nearly impossible

Enter Hybrid Orchestration

Marqov introduces Hybrid Orchestration—the missing layer between MLOps and your compute infrastructure. While DevOps handles software delivery and MLOps manages model lifecycles, Hybrid Orchestration handles the where and when of computational workloads.

What Marqov Enables

Unified Workload Management: Design and deploy jobs across quantum processors, GPUs, and classical compute from a single interface
Hardware-Agnostic Execution: Write once, run anywhere. Abstract away provider complexity and target the right hardware for each task
Intelligent Scheduling: Optimize for cost, latency, or availability. Marqov routes workloads to the best available resources automatically
Computational Provenance: Every job is tracked, every result is reproducible, every decision is auditable

Built for What’s Next

The quantum-classical boundary is where the most interesting problems live. Variational algorithms, hybrid optimization, error-mitigated circuits—these workloads demand seamless coordination between classical pre-processing, quantum execution, and classical post-processing.

Marqov is built for this reality. Whether you’re running VQE on IonQ with classical optimization on AWS, or distributing tensor network simulations across GPU clusters, Marqov gives you a single control plane for your entire compute stack.

Getting Started

We’re opening early access to research teams and enterprises building at the quantum-classical frontier.

Request a demo to see Marqov in action
Read the docs to explore the architecture
Join our Discord to connect with the community

The Marqov team is building the orchestration layer for the next era of computing. Join us.