Overview
What Is Accelerated Quantum Supercomputing?
Quantum Processing Units (QPUs) implement a new model of computing with potential impact across industries. Turning QPUs into useful quantum computers means integrating them with state-of-the-art AI supercomputers. NVIDIA is working with QPU developers to build such useful, accelerated quantum supercomputers.
Accelerating Quantum Computing Research
NVIDIA Accelerated Quantum Computing Research Center
The NVIDIA Accelerated Quantum Computing Research Center (NVAQC) is where qubits go to become accelerated quantum supercomputers. By integrating partner quantum hardware with a state-of-the-art NVIDIA GB200 NVL72 system the NVAQC brings developers and academics the breakthroughs needed to scale quantum computing hardware and applications.
Solutions
Accelerating Quantum Computing
NVIDIA CUDA-QX
Quantum researchers and developers across a wide range of domains, from quantum error correction to hybrid solvers, use GPU programming to accelerate their applications. This demands highly optimized, domain-specific libraries. NVIDIA CUDA-QX, built on top of CUDA-Q, is a collection of libraries and tools for accelerating research and development toward useful accelerated quantum supercomputing.
Belief Propagation-Ordered Statistics Decoding (BP-OSD) is one of the most promising approaches for scalable quantum error correction. CUDA-Q QEC accelerates BP-OSD with state-of-the-art latency and throughput, offering a 29–35x speedup over industry standard decoders for a single shot, as well as an additional speedup of up to 42x for high-throughput use cases where many syndromes need to be decoded at once.
NVIDIA CUDA-Q
Quantum-accelerated applications won't run exclusively on a quantum resource but will be hybrid (quantum and classical) in nature. To transition from algorithm development by quantum physicists to application development by domain scientists, a development platform is needed that delivers high performance, interoperates with today's applications and programming paradigms, and is familiar and approachable to domain scientists.
With a unified programming model, NVIDIA? CUDA-Q is a first-of-its-kind platform for hybrid quantum-classical computers, enabling integration and programming of QPUs, quantum emulation, GPUs, and CPUs in one system. CUDA-Q is built for performance, is open source, and provides high-level language to develop and run hybrid quantum-classical applications.
NVIDIA DGX Quantum
NVIDIA DGX? Quantum is an integrated system and reference architecture for quantum-classical computing, built in partnership with Quantum Machines.
Combining NVIDIA Grace Hopper? Superchips with the Quantum Machines OPX Control System, DGX Quantum offers submicrosecond latency between the quantum control system and the GPU, delivering real-time, GPU-accelerated quantum error correction, calibration, and control.
DGX Quantum is QPU-agnostic and scales with both quantum and classical compute requirements, from hundreds to thousands of qubits, and from a single GPU to an accelerated quantum supercomputer.
NVIDIA cuQuantum
NVIDIA cuQuantum is a set of low-level libraries for accelerating quantum circuit simulation. cuQuantum is primarily used by developers building circuit simulation frameworks and accelerates Cirq, Qiskit, PennyLane, and more.
cuQuantum offers state vector (cuStateVec) and tensor network (cuTensorNet) circuit simulation algorithms with multi-GPU acceleration.
The cuQuantum Appliance is a Docker container consisting of leading community frameworks accelerated by cuQuantum and optimized for the NVIDIA platform.
The NVIDIA cuQuantum Appliance is available in the NVIDIA NGC? catalog.
NVIDIA cuPQC
To ensure the security and authenticity of the world’s sensitive data, it is now critically important that organizations migrate to algorithms that can withstand a quantum computing attack. This new quantum-safe encryption is known as post-quantum cryptography (PQC).
NVIDIA cuPQC provides secure and accelerated implementations of the leading PQC algorithms, advancing data security against quantum computer threats and enabling cryptographic research.
NVIDIA Quantum Cloud
NVIDIA Quantum Cloud provides access to the world’s most powerful quantum computing platform through Quantum Cloud APIs capable of running CUDA-Q? projects on a range of NVIDIA GPU systems.
Resources
NVIDIA CUDA-Q Academic
To grow a quantum-ready workforce, NVIDIA is teaming up with academic institutions to develop educational resources through the CUDA-Q software development platform. CUDA-Q Academic offers training for both researchers and college students through self-paced, online modules, complete with interactive coding exercises and videos. Students gain the skills needed to work with the accelerated quantum supercomputers that will run useful applications.
NVIDIA Quantum Ecosystem
NVIDIA Quantum is enabling the entire quantum ecosystem—and some of the most important research happening today. From quantum computing startups to some of the largest companies in the world, academic labs and supercomputing centers to Fortune 500 companies, we’re proud to help our partners develop and leverage quantum.
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