Cutting Quantum Circuits Beyond Qubits
Manav Seksaria, Anil Prabhakar

TL;DR
This paper generalizes quantum circuit cutting to heterogeneous qudit systems, enabling efficient simulation and execution of high-dimensional circuits across disconnected hardware with significant memory savings.
Contribution
It introduces a method to decompose non-local interactions in mixed-dimensional qudit circuits, facilitating their simulation on fragmented hardware.
Findings
Achieved exact state reconstruction with zero Total Variation Distance.
Demonstrated memory reduction from 128 MB to 64 KB for an 8-particle, dimension-8 system.
Validated the approach on qubit--qutrit interfaces.
Abstract
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 (--) 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.
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Quantum-Dot Cellular Automata
