Intel has unveiled version 1.1 of its Quantum Software Development Kit (SDK), introducing significant enhancements to facilitate quantum algorithm implementation. The updated kit boasts an open-source compiler front end, two additional simulator back ends, and customizable qubit noise models, alongside enhanced programming tools for quantum algorithm expression. These features will enable developers to access Intel’s full quantum computer in simulation through the SDK. Designed to interface with Intel’s quantum hardware, including the Horse Ridge II control chip and Tunnel Falls quantum dot spin qubit research chip, the SDK offers seamless integration with C/C++ and Python applications.
Key new features in this version 1.1 release include the following:
- Open source compiler front end to allow users to customize compiler optimization algorithms and work with LLVM intermediate representation interfaces
- Two new target simulator backends that include a tensor network simulator and also a Clifford circuit simulator
- Customizable qubit noise models
- Additional programming tools to express quantum algorithms including a new new Functional Language Extension for Quantum (FLEQ)
Anne Matsuura, Director of Quantum Applications and Architecture at Intel Labs, emphasizes the company’s commitment to expanding the quantum ecosystem through educational initiatives and competitions. Interested developers can access the new SDK version via the Intel Developer Zone or qBraid platforms, alongside comprehensive documentation and training resources.
A blog from Intel with additional details about this release along with additional information about the Intel Quantum SDK Community can be found here.
March 8, 2024