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  1. Home
  2. Research
  3. Superposition
  4. Quantum Intermediate Representation (QIR)

Quantum Intermediate Representation (QIR)

Common format enabling quantum programs to run across different languages and hardware platforms
Back to SuperpositionView interactive version

Quantum Intermediate Representation (QIR) is a standardized low-level representation (a common format for quantum programs) that allows interoperability between different quantum programming languages and hardware backends, serving as the 'LLVM' for quantum computing (similar to how LLVM is a common intermediate representation for classical programming languages). It provides a common layer that allows code written in high-level frameworks (like Q# or Python-based quantum frameworks) to be compiled efficiently for any backend hardware (different types of quantum computers), enabling quantum programs to run on different quantum hardware without rewriting code. This infrastructure is invisible to most users (they don't need to know about it) but critical for a mature, interoperable quantum software ecosystem, where different tools and hardware can work together seamlessly, making quantum computing more practical and accessible.

This innovation addresses the fragmentation in quantum software, where different languages and hardware don't work together. By providing a common representation, QIR enables interoperability. Standards organizations, companies, and research institutions are developing QIR.

The technology is essential for a mature quantum software ecosystem, where interoperability is necessary for practical use. As quantum computing expands, standards like QIR become increasingly important. However, ensuring adoption, managing complexity, and supporting diverse hardware remain challenges. The technology represents an important infrastructure for quantum computing, but requires widespread adoption to be effective. Success could enable a more interoperable quantum ecosystem, but the technology must be widely adopted. QIR is an active area of standardization with several organizations working on it.

TRL
6/9Demonstrated
Impact
4/5
Investment
3/5
Category
Software

Related Organizations

Linux Foundation logo
Linux Foundation

United States · Nonprofit

100%

Nonprofit consortium fostering open source innovation.

Standards Body
Microsoft logo
Microsoft

United States · Company

100%

Through Copilot and the 'Recall' feature in Windows, Microsoft is integrating persistent memory and agentic capabilities directly into the operating system.

Developer
NVIDIA logo
NVIDIA

United States · Company

90%

Developing foundation models for robotics (Project GR00T) and vision-language models like VILA.

Developer
Quantinuum logo
Quantinuum

United States · Company

90%

Integrated quantum computing company formed by Honeywell and CQC.

Developer
Oak Ridge National Laboratory logo
Oak Ridge National Laboratory

United States · Research Lab

85%

US Department of Energy multiprogram science and technology national laboratory.

Researcher
Rigetti Computing logo
Rigetti Computing

United States · Company

85%

Full-stack superconducting quantum computing company.

Developer
Atom Computing

United States · Startup

80%

Startup building neutral atom quantum computers.

Developer
IonQ logo
IonQ

United States · Company

80%

The first pure-play public quantum computing company, developing trapped-ion systems using Ytterbium ions.

Developer
Quantum Circuits Inc

United States · Startup

80%

Yale spin-out developing superconducting quantum computers.

Developer
Pacific Northwest National Laboratory

United States · Government Agency

75%

US Department of Energy national laboratory.

Researcher

Supporting Evidence

Evidence data is not available for this technology yet.

Connections

Software
Software
New Quantum Programming Languages

High-level programming languages designed for quantum computing with type safety and automated state management

TRL
3/9
Impact
3/5
Investment
3/5
Software
Software
Variational Quantum ML Frameworks

Software toolkits for building hybrid quantum-classical algorithms on noisy quantum hardware

TRL
4/9
Impact
4/5
Investment
3/5
Software
Software
Quantum Compilation Tools

Software that translates quantum algorithms into executable instructions for specific quantum hardware

TRL
6/9
Impact
4/5
Investment
3/5
Software
Software
Quantum Cloud Access Platforms

Cloud platforms offering unified API access to multiple quantum computing backends

TRL
9/9
Impact
5/5
Investment
5/5
Software
Software
Quantum Machine Learning Libraries

Software frameworks integrating quantum circuits with classical ML tools like PyTorch and TensorFlow

TRL
5/9
Impact
4/5
Investment
3/5

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