As quantum computer systems proceed to develop, they may combine with AI supercomputers to kind accelerated quantum supercomputers able to fixing a number of the world’s hardest issues.
Integrating quantum processing models (QPUs) into AI supercomputers is essential for growing new purposes, serving to unlock breakthroughs vital to working future quantum {hardware} and enabling developments in quantum error correction and gadget management.
The NVIDIA Accelerated Quantum Analysis Middle, or NVAQC, introduced at present on the NVIDIA GTC international AI convention, is the place these developments will occur. With an NVIDIA GB200 NVL72 system and the NVIDIA Quantum-2 InfiniBand networking platform, the ability will home a supercomputer with 576 NVIDIA Blackwell GPUs devoted to quantum computing analysis.
“The NVAQC attracts on much-needed and long-sought-after instruments for scaling quantum computing to next-generation gadgets,” mentioned Tim Costa, senior director of computer-aided engineering, quantum and CUDA-X at NVIDIA. “The middle will probably be a spot for large-scale simulations of quantum algorithms and {hardware}, tight integration of quantum processors, and each coaching and deployment of AI fashions for quantum.”
Quantum computing innovators like Quantinuum, QuEra and Quantum Machines, together with tutorial companions from the Harvard Quantum Initiative and the Engineering Quantum Techniques group on the MIT Middle for Quantum Engineering, will work on initiatives with NVIDIA on the heart to discover how AI supercomputing can speed up the trail towards quantum computing.
“The NVAQC is a robust instrument that will probably be instrumental in ushering within the subsequent era of analysis throughout the whole quantum ecosystem,” mentioned William Oliver, professor {of electrical} engineering and laptop science, and of physics, chief of the EQuS group and director of the MIT Middle for Quantum Engineering. “NVIDIA is a vital accomplice for realizing helpful quantum computing.”
There are a number of key quantum computing challenges the place the NVAQC is already set to have a dramatic influence.
Defending Qubits With AI Supercomputing
Qubit interactions are a double-edged sword. Whereas qubits should work together with their environment to be managed and measured, these similar interactions are additionally a supply of noise — undesirable disturbances that have an effect on the accuracy of quantum calculations. Quantum algorithms can solely work if the ensuing noise is stored in examine.
Quantum error correction supplies an answer, encoding noiseless, logical qubits inside many noisy, bodily qubits. By processing the outputs from repeated measurements on these noisy qubits, it’s potential to determine, observe and proper qubit errors — all with out destroying the fragile quantum data wanted by a computation.
The method of determining the place errors occurred and what corrections to use is named decoding. Decoding is an especially tough activity that should be carried out by a traditional laptop inside a slender timeframe to forestall noise from snowballing uncontrolled.
A key aim of the NVAQC will probably be exploring how AI supercomputing can speed up decoding. Finding out how you can collocate quantum {hardware} inside the heart will permit the event of low-latency, parallelized and AI-enhanced decoders, working on NVIDIA GB200 Grace Blackwell Superchips.
The NVAQC will even deal with different challenges in quantum error correction. QuEra will work with NVIDIA to speed up its seek for new, improved quantum error correction codes, assessing the efficiency of candidate codes via demanding simulations of complicated quantum circuits.
“The NVAQC will probably be an important instrument for locating, testing and refining new quantum error correction codes and decoders able to bringing the entire trade nearer to helpful quantum computing,” mentioned Mikhail Lukin, Joshua and Beth Friedman College Professor at Harvard and a codirector of the Harvard Quantum Initiative.
Growing Purposes for Accelerated Quantum Supercomputers
Nearly all of helpful quantum algorithms draw equally from classical and quantum computing sources, in the end requiring an accelerated quantum supercomputer that unifies each sorts of {hardware}.
For instance, the output of classical supercomputers is usually wanted to prime quantum computations. The NVAQC supplies the heterogeneous compute infrastructure wanted for analysis on growing and enhancing such hybrid algorithms.
New AI-based compilation strategies will even be explored on the NVAQC, with the potential to speed up the runtime of all quantum algorithms, together with via work with Quantinuum. Quantinuum will construct on its earlier integration work with NVIDIA, providing its {hardware} and emulators via the NVIDIA CUDA-Q platform. Customers of CUDA-Q are presently provided entry to Quantinuum’s System H1 QPU {hardware} and emulator for 90 days.
“We’re excited to collaborate with NVIDIA at this heart,” mentioned Rajeeb Hazra, president and CEO of Quantinuum. “By combining Quantinuum’s highly effective quantum methods with NVIDIA’s cutting-edge accelerated computing, we’re pushing the boundaries of hybrid quantum-classical computing and unlocking thrilling new potentialities.”
QPU Integration
Integrating quantum {hardware} with AI supercomputing is likely one of the main remaining hurdles on the trail to working helpful quantum {hardware}.
The necessities of such an integration might be extraordinarily demanding. The decoding required by quantum error correction can solely operate if knowledge from thousands and thousands of qubits might be despatched between quantum and classical {hardware} at ultralow latencies.
Quantum Machines will work with NVIDIA on the NVAQC to develop and hone new controller applied sciences supporting speedy, high-bandwidth interfaces between quantum processors and GB200 superchips.
“We’re excited to see NVIDIA’s rising dedication to accelerating the conclusion of helpful quantum computer systems, offering researchers with essentially the most superior infrastructure to push the boundaries of quantum-classical computing,” mentioned Itamar Sivan, CEO of Quantum Machines.
Key to integrating quantum and classical {hardware} is a platform that lets researchers and builders rapidly shift context between these two disparate computing paradigms inside a single software. The NVIDIA CUDA-Q platform would be the entry level for researchers to harness the NVAQC’s quantum-classical integration.
Constructing on instruments like NVIDIA DGX Quantum — a reference structure for integrating quantum and classical {hardware} — and CUDA-Q, the NVAQC is ready to be an epicenter for next-generation developments in quantum computing, seeding the evolution of qubits into impactful quantum computer systems.
Be taught extra about NVIDIA quantum computing.
