We created ParityOS with the aim to offer an all-in-one solution to solve real-world problems on quantum computers. The operating system includes a variety of tools with the compiler at its heart. It translates any problem to a quantum algorithm with tailored hardware designs using the ParityQC Architecture. This allows hardware developers, end-users, scientists and quantum computing enthusiasts around the world to access the most efficient way to solve optimization problems on quantum computers with a single function call.
Simple interface and easy to use
Using quantum computers still requires a lot of know-how and the sheer amount of knowledge behind it is intangible. We make quantum algorithms accessible for everyone via a simple interface, while ParityOS does all the hard work in the background. It translates problems to quantum algorithms, optimizes the operations, integrates special hardware features and returns optimized chip layouts and the corresponding algorithms.
The quantum operating system in the cloud
ParityOS is an operating system born in the cloud. It is accessible via a webAPI with minimal client software, which runs on the quantum device for low-latency executions. Its minimalistic interface makes it easy to integrate it in the existing software stack of any quantum computer. For end-users, the availability of ParityOS guarantees a seamless transition from quantum-ready test devices to real quantum computers.
The key to scalable and efficient algorithms
The algorithms that ParityOS generates are optimized for efficiency. Reduction of required resources, such as number of qubits and number of gates, is key, and it is achieved via the ParityQC Architecture. In addition, we are able to exploit another crucial advantage: parallelizability. This means that the algorithms of ParityOS make use of highly-parallel quantum gates on the hardware level, boosting the performance and making hardware design scalable.
The Next-Generation Compiler
Our aim with ParityOS is to provide the compiler for the next generation of quantum devices. When building a quantum computer based on the ParityQC Architecture, hardware developers also receive the full software stack for using the architecture efficiently. End-users and academics can make use of ParityOS to develop algorithms for next-generation quantum computers, for applications that range from quantum chemistry, material science, machine learning to financial optimization.