On Monday (November 18th) local time, Nvidia announced on its official website that it is collaborating with Google Quantum AI to help accelerate the design of next-generation quantum computing devices.
The press release states that Google Quantum AI is using Nvidia's CUDA-Q quantum computing platform and Eos supercomputer to simulate the physical characteristics of quantum processors. This will help overcome one of the current limitations of quantum computing hardware - "noise" interference.
Quantum processors are sensitive to environmental disturbances such as temperature, magnetic fields, and even cosmic radiation, which can interfere with their performance in complex tasks and affect the accuracy of quantum computer calculations. Understanding the noise in quantum hardware design requires complex dynamic simulations to fully understand how quantum bits within a quantum processor interact with the surrounding environment.
Guifre Vidal, a research scientist in the Google Quantum AI team, said, "Only by scaling up quantum hardware while controlling noise can we develop commercially viable quantum computers
NVIDIA wrote in a statement, "Google can use the CUDA-Q platform to perform the world's largest and fastest dynamic simulation of quantum devices on the Eos supercomputer using 1024 Hopper Tensor Core GPUs at an extremely low cost
With its assistance, Google can conduct realistic and comprehensive simulations of devices containing 40 qubits, which is the largest scale simulation of its kind. Vidal added, "We are utilizing Nvidia's accelerated computing to explore the impact of increasingly larger quantum chip designs on noise
Analysis indicates that this type of calculation was extremely expensive and time-consuming in the past. Nvidia stated that with the help of CUDA-Q simulation technology, the noise simulation that originally took a week to complete can now be completed in just a few minutes.
Tim Costa, Director of Quantum and HPC at NVIDIA, wrote that AI supercomputing will contribute to the success of quantum computing. "Google's decision demonstrates the central role GPU accelerated simulation plays in advancing quantum computing, which will help solve many real-world problems
Starting from last weekend, the six day "2024 Global Supercomputing Conference" (SC24) was held in Atlanta, USA, and the collaboration between Google and Nvidia was announced at the conference.
Although multiple companies claim to make breakthroughs in quantum computing, even if large-scale commercial projects come true, it may take decades to prepare.
In September of this year, Microsoft and Quantinum announced the creation of a quantum computer that ran over 14000 independent computing routines on Quantinum's H2 quantum processor without any errors, demonstrating unprecedented reliability at the time.