Quantum Brilliance Makes Quantum Computing Open for All
After successfully completing the beta testing phase, Quantum Brilliance, a developer of miniaturised, room-temperature quantum computing solutions, has officially launched the Qristal SDK, an open-source software development kit. The SDK is now available to the public, enabling developers to create and evaluate innovative quantum algorithms tailored specifically for quantum accelerators rather than traditional quantum mainframes. The Qristal SDK provides developers with fully integrated C++ and Python APIs, along with NVIDIA CUDA features and customizable noise models, to support the creation of quantum-enhanced designs. The source code, which includes extensive application libraries for various fields such as VQE, QAOA, quantum machine learning, and natural language processing, can be downloaded from the company’s website. This release aims to facilitate the research and development of applications that integrate Quantum Brilliance’s portable, diamond-based quantum accelerators. Furthermore, the software incorporates MPI, the globally recognized standard for large-scale parallel computing, allowing users to optimise, simulate, and deploy hybrid applications that leverage parallelized, room-temperature quantum accelerators in high-performance computing (HPC) environments, ranging from supercomputers to edge devices. The software opens up a wide range of potential use cases, including classical-quantum hybrid applications in data centres, massively parallelized clusters of accelerators for computational chemistry, and embedded accelerators for edge computing applications like robotics, autonomous vehicles, and satellites. Mark Luo, the CEO and co-founder of Quantum Brilliance, expressed his confidence in the Qristal SDK, stating, “With improvements based on feedback from our beta users, this SDK empowers researchers to leverage quantum-based solutions across various real-world applications. We believe this powerful tool will enable organisations worldwide to understand how quantum accelerators can enhance and facilitate the productization and commercialisation of their offerings.” Beginning of a new era for quantum computing One of the distinguishing features of Quantum Brilliance’s quantum systems is their ability to operate at room temperature using synthetic diamonds. Unlike traditional mainframe quantum computers, these compact devices do not require cryogenic cooling, vacuum systems, or precision laser arrays. They consume significantly less power, making on-site or edge deployment feasible in any environment. At present, Quantum Brilliance’s quantum computing technology is approximately the size of a desktop PC. However, the company is actively working on further miniaturisation, aiming to shrink their technology to the size of a semiconductor chip that can be integrated into any device, effectively making practical quantum computing universally accessible. In 2019, Quantum Brilliance was established as a company that focuses on quantum products and solutions. Their primary objective is to develop diamond quantum computers accompanied by software and applications. Quantum Brilliance strives to facilitate the widespread adoption of their quantum technology, enabling various industries to leverage edge computing applications and advance into the realm of next-generation supercomputers. Quantum Brilliance has forged partnerships worldwide, spanning across the Americas, EMEA, and Asia Pacific regions. These partnerships involve collaborations with governments, supercomputing centers, research organisations, and various industries, forming a global network of support for their endeavours. Another company offering a similar SDK for quantum development is Qiskit. Started in 2017, the company has built its open source SDK in partnership with IBM Research.
The Qristal SDK provides developers with fully integrated C++ and Python APIs, along with NVIDIA CUDA features and customisable noise models, to support the creation of quantum-enhanced designs.
The Qristal SDK provides developers with fully integrated C++ and Python APIs, along with NVIDIA CUDA features and customisable noise models, to support the creation of quantum-enhanced designs.
["Quantum Computing"]
["Quantum Computing", "CUDA", "machine learning", "AI", "RAG", "Python", "Ray", "Aim", "edge computing", "quantum machine learning", "R"]
["AI", "machine learning", "Aim", "Ray", "quantum machine learning", "RAG", "edge computing", "CUDA", "Python", "R"]
Mohit writes about AI in simple, explainable, and often funny words. He's especially passionate about chatting with those building AI for Bharat, with the occasional detour into AGI.