Towards Supporting QIR: Thoughts on Adopting the Quantum Intermediate Representation
New records in the number of qubits and the fidelity of quantum computers continue to be set. Additionally, the quantum computing community is eager to leverage this immense computational power. However, to execute an application on hardware, it has to be translated into a sequence of hardware-speci...
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| creator | Stade, Yannick Burgholzer, Lukas Wille, Robert |
| description | New records in the number of qubits and the fidelity of quantum computers
continue to be set. Additionally, the quantum computing community is eager to
leverage this immense computational power. However, to execute an application
on hardware, it has to be translated into a sequence of hardware-specific
instructions. To this end, intermediate representations play a crucial role in
the software stack for a quantum computer to facilitate efficient
optimizations. One of those intermediate representations is the Quantum
Intermediate Representation (QIR), proposed by Microsoft. In this article, we
provide food for thought on how QIR can be adopted in different software tools.
We discuss the advantages and disadvantages of various approaches and outline
related challenges. Finally, we conclude with an outlook on future directions
using QIR. |
| doi_str_mv | 10.48550/arxiv.2411.18682 |
| format | Article |
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continue to be set. Additionally, the quantum computing community is eager to
leverage this immense computational power. However, to execute an application
on hardware, it has to be translated into a sequence of hardware-specific
instructions. To this end, intermediate representations play a crucial role in
the software stack for a quantum computer to facilitate efficient
optimizations. One of those intermediate representations is the Quantum
Intermediate Representation (QIR), proposed by Microsoft. In this article, we
provide food for thought on how QIR can be adopted in different software tools.
We discuss the advantages and disadvantages of various approaches and outline
related challenges. Finally, we conclude with an outlook on future directions
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continue to be set. Additionally, the quantum computing community is eager to
leverage this immense computational power. However, to execute an application
on hardware, it has to be translated into a sequence of hardware-specific
instructions. To this end, intermediate representations play a crucial role in
the software stack for a quantum computer to facilitate efficient
optimizations. One of those intermediate representations is the Quantum
Intermediate Representation (QIR), proposed by Microsoft. In this article, we
provide food for thought on how QIR can be adopted in different software tools.
We discuss the advantages and disadvantages of various approaches and outline
related challenges. Finally, we conclude with an outlook on future directions
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continue to be set. Additionally, the quantum computing community is eager to
leverage this immense computational power. However, to execute an application
on hardware, it has to be translated into a sequence of hardware-specific
instructions. To this end, intermediate representations play a crucial role in
the software stack for a quantum computer to facilitate efficient
optimizations. One of those intermediate representations is the Quantum
Intermediate Representation (QIR), proposed by Microsoft. In this article, we
provide food for thought on how QIR can be adopted in different software tools.
We discuss the advantages and disadvantages of various approaches and outline
related challenges. Finally, we conclude with an outlook on future directions
using QIR.</abstract><doi>10.48550/arxiv.2411.18682</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Computer Science - Emerging Technologies Physics - Quantum Physics |
| title | Towards Supporting QIR: Thoughts on Adopting the Quantum Intermediate Representation |
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