arXiv:2606.29636v1 Announce Type: cross Abstract: An important task in quantum computing is unitary circuit synthesis compatible with physical hardware constraints. This problem has a natural hybrid structure as local single-qubit gates are continuous variables on the Lie group $SU(2)$ while the entangling circuit structure is discrete and hardware-dependent. In this work, we use generative models to perform quantum circuit synthesis incorporating both the natural $SU(2)$ manifold geometry of quantum gates and hardware constraints that determine the overall circuit structure. Our model compris
The paper addresses a critical bottleneck in quantum computing as the field matures, specifically the hardware-aware design of quantum circuits for practical applications.
This research provides a foundational step towards more efficient and less error-prone quantum computation, which is essential for scaling quantum technologies beyond academic research.
The development of generative models for quantum circuit synthesis, incorporating both continuous gate variables and discrete hardware constraints, promises more optimized and manufacturable quantum solutions.
- · Quantum computing hardware manufacturers
- · Quantum software developers
- · High-performance computing sector
- · Traditional quantum circuit design methodologies
- · Companies reliant on brute-force quantum optimization
More efficient and reliable quantum circuits can be designed for specific hardware architectures.
Accelerated development and adoption of quantum computing for complex problem-solving across various industries.
The enhanced practicality of quantum computing could lead to breakthroughs in materials science, drug discovery, and AI previously considered intractable.
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