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 Interest
Explore key benefits.
Flexible and Scalable
Supports hybrid deployments via emulation on a single GPU up to NVIDIA DGX SuperPOD™ and with multiple QPU partner backends
Connects to any type of QPU backend, allowing accessibility to all users
287X speedup in end-to-end Variational Quantum Eigensolver (VQE) performance with 20 qubits and dramatically improved scaling compared to Pythonic frameworks
Interoperates with modern GPU-accelerated applications
Streamlines hybrid quantum-classical development with a unified environment, improving productivity and scalability in quantum algorithm research
Offering a range of features.
- 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
Quantum computing partners.
Learn more with these 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
- Explainer: What is a QPU?
Sign up for early interest in QODA.