Accelerate R&D in quantum computing with Amazon Braket & NVIDIA CUDA-Q (QTC202)

Here's a detailed summary of the video transcription in markdown format:

Discovery of Quantum Computing Use Cases

• AWS launched the "Quantum Embark" program to help customers identify potential use cases for Quantum Computing in their business.
• The program consists of three modules:
  1. Use Case Discovery: Helps identify Quantum use cases relevant to the customer's industry.
  2. Training and Enablement: Hands-on experimentation with real Quantum computers through the Amazon Braket service.
  3. Deep Dive: Exposure to state-of-the-art Quantum algorithms and benchmarking against different hardware options.
• The goal is to enable customers to make informed decisions about whether and how to invest in Quantum Computing.

Benchmarking Quantum Hardware on Amazon Braket

• AWS launched the Amazon Braket service in 2019 to provide customers access to a variety of Quantum hardware from different vendors.
• The key principles behind Braket are:
  1. Providing choice of hardware to customers to avoid vendor lock-in.
  2. Offering a pay-as-you-go model to accommodate the rapid pace of hardware advancements.
  3. Standardizing the user experience across different hardware platforms.
• Braket currently provides access to four different types of Quantum hardware: neutral atom, superconducting, and trapped ion devices.

The Hybrid Quantum-Classical Computing Paradigm

• Quantum Computing is not a standalone technology but rather an accelerator that will work in tandem with classical computing.
• The entire Quantum computing stack needs to be developed, including error correction, operating systems, algorithms, and mapping business logic to Quantum algorithms.
• This requires an ecosystem of hardware providers, software vendors, and application builders working together to advance the industry.
• AWS and NVIDIA have partnered to define the hybrid Quantum-classical computing stack on the cloud, focusing on use case requirements, Quantum throughput, and the architectural vision for scalable classical and Quantum computing.

NVIDIA's Perspective and Initiatives

• NVIDIA has a history of enabling Computing revolutions, from GPUs to deep learning.
• NVIDIA sees Quantum Computing as the next revolution and is committed to enabling it through its Cuda-Q platform.
• Cuda-Q provides a GPU-accelerated platform for hybrid Quantum-classical Computing, including simulator backends and support for various Quantum hardware.
• NVIDIA has also announced new Cuda-Q libraries for Quantum error correction and solvers, as well as the Cuda-Q Dynamics solution to accelerate Quantum hardware design.