Cutting Quantum Circuits Beyond Qubits
Fuente:
arXiv
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866911406675197952 |
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| author | Seksaria, Manav Prabhakar, Anil |
| author_facet | Seksaria, Manav Prabhakar, Anil |
| contents | We extend quantum circuit cutting to heterogeneous registers comprising mixed-dimensional qudits. By decomposing non-local interactions into tensor products of local generalised Gell-Mann matrices, we enable the simulation and execution of high-dimensional circuits on disconnected hardware fragments. We validate this framework on qubit--qutrit ($2$--$3$) interfaces, achieving exact state reconstruction with a Total Variation Distance of 0 within single-precision floating-point tolerance. Furthermore, we demonstrate the memory advantage in an 8-particle, dimension-8 system, reducing memory usage from 128 MB to 64 KB per circuit. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_02064 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Cutting Quantum Circuits Beyond Qubits Seksaria, Manav Prabhakar, Anil Quantum Physics Distributed, Parallel, and Cluster Computing We extend quantum circuit cutting to heterogeneous registers comprising mixed-dimensional qudits. By decomposing non-local interactions into tensor products of local generalised Gell-Mann matrices, we enable the simulation and execution of high-dimensional circuits on disconnected hardware fragments. We validate this framework on qubit--qutrit ($2$--$3$) interfaces, achieving exact state reconstruction with a Total Variation Distance of 0 within single-precision floating-point tolerance. Furthermore, we demonstrate the memory advantage in an 8-particle, dimension-8 system, reducing memory usage from 128 MB to 64 KB per circuit. |
| title | Cutting Quantum Circuits Beyond Qubits |
| topic | Quantum Physics Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2601.02064 |