QMware offers a hybrid quantum‑classical cloud platform that combines high‑performance CPUs and GPUs with simulated quantum processors and native quantum processing units (QPUs).
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises and research teams face computational bottlenecks when tackling large-scale optimization, simulation, and machine‑learning tasks, and existing classical HPC resources cannot exploit quantum speed‑ups that are emerging in early quantum hardware.
Solution
QMware provides a hybrid quantum‑classical cloud platform that unifies high‑performance CPUs and GPUs with both simulated quantum processors and native quantum processing units (QPUs). The service offers four levels of QPU integration—from simple web‑service access to co‑located hardware within the same data‑center—allowing users to run workloads on the most appropriate quantum resource. By exposing a unified API and cloud‑or‑on‑premise deployment model, QMware lets customers develop, benchmark, and execute hybrid algorithms without managing separate quantum infrastructures. The platform also includes professional services for algorithm design, customization, and training, enabling faster time‑to‑value for quantum‑enhanced applications.
Target Audience
Primary customers are enterprise R&D departments, industrial optimization teams, and academic research groups that require high‑performance computing combined with emerging quantum capabilities.
Features
- Integrated HPC stack (CPU, GPU) combined with virtual quantum processors (simulators) and native QPUs
- Four-tier QPU integration: web‑service, API, HPC‑embedded, and data‑center co‑location for low‑latency quantum access
- Unified cloud and cloud@customer deployment options for public or private environments
- End‑to‑end professional services covering use‑case identification, hybrid algorithm development, benchmarking, and quantum training
- API and SDK support for seamless incorporation of quantum kernels into existing workflows
- Automated workload routing that selects classical, simulated, or native quantum resources based on problem characteristics