Quantum Circuits is excited to demonstrate the first integration of a Dual-Rail Qubit-based quantum system, the Aqumen Seeker, with NVIDIA’s CUDA-Q programming language at GTC Washington, D.C.
Our Dual-Rail Qubits (DRQs) are built on a proprietary superconducting cavity architecture. For the first time, CUDA-Q users can leverage the unique error-aware properties of DRQs to execute programs on a high-performance and fast platform.
The Seeker is the world’s first full-stack DRQ quantum computer deployed in the cloud. It is emblematic of the milestone that Quantum Circuits and NVIDIA are announcing with the expansion of the CUDA-Q capability.
Together, their value is enhanced by the ability to prototype, simulate, and test algorithms before they run in real-world production environments. The Quantum Circuits simulator, AquSim, is the only online cloud simulator for DRQs that emulates real quantum systems in an error-aware fashion. It is backed by NVIDIA GPUs and delivers excellent performance for wide classes of greenfield algorithm exploration up to 25 qubits. As part of this integration stage, AquSim’s core functionality is being enhanced to model the error properties of DRQ qubits, effectively making it an emulator of the Seeker, perfect for prototyping quantum applications prior to execution on hardware.
At NVIDIA GTC, we will conduct a series of tutorials that highlight the ease of integration. Focusing on the Python version of CUDA-Q, we will provide helpful examples of a few key quantum algorithms, such as Bernstein-Vazirani, to provide a quick on-ramp to testing with the full-stack Quantum Circuits software – Aqumen Cloud. We then motivate future directions where the full capability of DRQ error awareness unlocks applications that lie at the intersection of ML, AI, and quantum, revealing new, rich measurement patterns.
To take a step back, this integration empowers users of quantum computers to leverage the powerful properties of Quantum Circuits QPUs in conjunction with the advanced tools offered by CUDA-Q to run novel quantum applications. At the core of this offering lies a key feature of the Quantum Circuits hardware and simulator product suite – the ability to generate a new kind of high-quality data that provides new insights into the dynamics of quantum program execution.
Harnessing the Power of Data From Quantum, AI, & ML
The currency of today’s digital age is data. With more data come more opportunities to create, discover, and uncover. The past several years revealed an incredible expansion in digital tooling, driven by ML and AI. This has created vast value in the form of AI-driven chat, search, agentic tools, and more. Investment continues to grow, and the fruits of this labor promise to yield further progress.
The next frontier is quantum computing. Quantum Circuits is taking pole position in the industry to deliver leading quantum computing solutions. Leveraging its unique Dual-Rail Cavity Qubit technology, Quantum Circuits is the only supplier of quantum systems and services that offers uniquely quantum data-augmented capabilities enabled by the error-aware principles underpinning the system architecture design. Unlike other vendors, which return 0s and 1s as outputs of their calculations, we return a third result called *.
One can think of this * result as an error check in the middle of an algorithm. To quantum experts, it’s the mark of an erasure error – a powerful capability that indicates where and when an error occurs in DRQ-based systems.
The significance of this upgrade lies in the expanded richness of the output data Quantum Circuits QPUs emit during and at the end of an algorithm. No longer does one just get the typical 0 and 1. The additional * conveys a key piece of information about the trajectory qubits took in the algorithm, such as which encountered an error, and which did not.
Today, this extra data boosts algorithm performance through a process known as post-selection, in which only data without detected errors is returned to the user. In upcoming releases, CUDA-Q users of the Seeker, AquSim, and follow-on systems will be able to access this new data. New quantum algorithms crafted by users of CUDA-Q running on Quantum Circuits systems will be able to produce a wealth of data patterns and correlations that are perfectly suited for high-performance applications from AI to quantum error correction.
As more data is acquired across a widening breadth of applications, more predictive models can be built that reveal deeper insight into quantum algorithms and shared patterns, leading to newfound efficiencies and areas of commercial advantage. For error correction in particular, such data is essential to unlock efficiencies in reducing the resources for scalable quantum computing systems by 10X or more over conventional techniques.
With quantum computing rapidly evolving, delivering results, and entering the commercial domain in earnest, Quantum Circuits is at GTC to unveil a unique product offering that lies at the intersection of some of NVIDIA’s core initiatives – powerful GPU systems, enabling ML and AI software through CUDA, and a leading quantum software effort through CUDA-Q. As we demonstrate our unique integration of an error-aware system, the Seeker, we will provide a vision to the user on the confluence of quantum, ML and AI – how the three can work today, exciting directions, and how Quantum Circuits enable new exploratory opportunities.
Stop by Booth 403. We hope to see you there.
