QODA will Bridge Quantum and Other Applications

Tajammul Pangarkar
Tajammul Pangarkar

Updated · Jul 15, 2022


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Nvidia has announced today the Quantum Optimized Device Architecture (QODA). This new platform aims to bridge quantum and traditional applications. QODA represents a departure from Nvidia’s usually proprietary stance and powers up an open approach toward quantum calculating and its integration to classical systems similar to those we are used to in our day-to-day lives.

NVIDIA’s QODA aims to make it easier for scientists to harness  (QC) ‘s strengths in developing applications and speeding techniques. QC does away with the zeroes and ones and replaces them with qubits. This now-approaching-mainstream unit can represent both states simultaneously, opening up massive speedups in previously-unworkable problems.

The current quantum computing landscape doesn’t look very different from the early days of semiconductor technology. QODA’s high-level language will allow for all types of quantum computers, and the compiler will be made available as open-source software.
QODA is Nvidia’s glue. QODA from Nvidia will act as a software bridge and allow developers to choose whether to run their quantum jobs using GPUs or quantum processing processors. It’s as simple as a function call that separates them.

Quantum computers and the Quantum Processing Unit and their hardware CPUs (the Quantum Processing Unit) are ideal for simulating processes at the atomic level and allow fundamental advances in materials science and chemistry, which result in domino effects on everything.
A quantum computer experiment at Julich revealed the most efficient route to nearly 500 flights. It also demonstrated that technology’s potential directly affects people’s daily lives.

You have a limited time in this world, so why waste it waiting for delayed flights?
While several quantum computers, from integrated systems to ascendable, individual QPUS, are already available, none have yet achieved the speed, consistency, ease of deployment, and use to tackle commercially-relevant jobs. However, researchers believe there is a way forward: Hybridization. Nvidia’s QODA is available to HPC and AI specialists. This environment will be familiar to them, and they’ll be able easily to take advantage of the probabilistic-based approach for computing that’s the hallmarks of quantum.

QODA from Nvidia gives you access to quantum processors of today. These are simulated using Nvidia’s GDX Super Pod systems and GPU-based accelerators. QODA is based on Nvidia’s cuQuantum software application, which allows customers to build individual quantum circuits by simulating their performance. QODA allows developers to create complete quantum simulated apps using NVIDIA cuQuantum and GPU-accelerated supercomputers and opens doors that have been closed until now.

Nvidia’s QODA announcement was completed in Tokyo at the Q2B Conference. Pasqual, Quantinuum, and Quantum Brilliance were all announced by Nvidia. Nvidia also has partnerships with QC Ware, Zapata Computing, supercomputing centers, Lawrence Berkeley National Laboratory, and Oak Ridge National Laboratory. It doesn’t mean Nvidia will be the only platform for these or any other similar approach. However, it shows confidence in the business’s solution to quantum computing. What a fantastic puzzle!

Tajammul Pangarkar

Tajammul Pangarkar

Tajammul Pangarkar is a tech blogger that frequently contributes to numerous industry-specific magazines and forums. Tajammul longstanding experience in the fields of mobile technology and industry research is often reflected in his insightful body of work. His interest lies in understanding tech trends, dissecting mobile applications, and in raising a general awareness of technical know-how. When he’s not ruminating about various happenings in the tech world, he can be usually found indulging in his next favorite interest - table tennis.