NVIDIA QODA
The Platform for Hybrid Quantum-Classical Computing
For the programmer who wants to do algorithm research and build hybrid applications for future quantum advantage, a bridging technology is needed to enable dynamic workflows across disparate system architectures. With a unified programming model, NVIDIA Quantum-Optimized Device Architecture (QODA) is a first-of-its-kind platform for hybrid quantum-classical computers, enabling integration and programming of quantum processing units (QPUs), GPUs, and CPUs in one system. QODA enables GPU-accelerated system scalability and performance across heterogeneous QPU, CPU, GPU, and emulated quantum system elements.
Apply for early interestKey Benefits of QODA
Flexible and Scalable
Supports hybrid deployments via emulation on a single GPU up to NVIDIA DGX SuperPOD™ and with multiple QPU partner backends
Open
Connects to any type of QPU backend, allowing accessibility to all users
High Performing
287X speedup in end-to-end Variational Quantum Eigensolver (VQE) performance with 20 qubits and dramatically improved scaling compared to Pythonic frameworks
Easily Integrated
Interoperates with modern GPU-accelerated applications
Productive
Streamlines hybrid quantum-classical development with a unified environment, improving productivity and scalability in quantum algorithm research
Features of QODA
- Kernel-based programming model extending C++ for hybrid quantum-classical systems (full Python support on the way)
- Native support for GPU hybrid compute, enabling GPU pre- and post-processing and classical optimizations
- System-level compiler toolchain featuring split compilation with NVQ++ compiler for quantum kernels, lowering to Multi-Level Intermediate Representation (MLIR) and Quantum Intermediate Representation (QIR)
- Initial NVQ++ benchmark shows 287X improvement in end-to-end VQE performance with 20 qubits and dramatically improved scaling with system size compared to standard Pythonic implementation
- Standard library of quantum algorithmic primitives
- Interoperable with partner QPUs as well as simulated QPUs using the cuQuantum GPU platform; partnering with QPU builders across many different qubit types
Partners








Resources
- QODA Press Release: NVIDIA Announces Hybrid Quantum-Classical Computing Platform
- NVIDIA Special Address at Q2B: Defining the Quantum Accelerated Supercomputing Platform
- Blog: Merge Ahead: Researcher Takes Software Bridge to Quantum Computing
- Blog: Introducing QODA: The Platform for Hybrid Quantum-Classical Computing
- Blog: What is a QPU?