All this for one qubit? Bounds on local circuit cutting schemes
Simon C. Marshall, Jordi Tura, Vedran Dunjko

TL;DR
This paper establishes fundamental theoretical bounds on the efficiency of local circuit cutting schemes in quantum computing, demonstrating that certain efficient partitioning would imply unlikely complexity class equalities and that some approaches are inherently inefficient.
Contribution
It provides the first theoretical bounds on the limits of local circuit cutting schemes, clarifying their fundamental inefficiencies and restrictions in quantum circuit partitioning.
Findings
Locally-acting circuit cutting schemes imply BPP=BQP if they could efficiently partition a single qubit.
Unconditional inefficiency of general circuit cutting schemes is demonstrated.
No scheme can operate solely with unital channels for circuit cutting.
Abstract
Small numbers of qubits are one of the primary constraints on the near-term deployment of advantageous quantum computing. To mitigate this constraint, techniques have been developed to break up a large quantum computation into smaller computations. While this work is sometimes called circuit knitting or divide and quantum we generically refer to it as circuit cutting (CC). Much of the existing work has focused on the development of more efficient circuit cutting schemes, leaving open questions on the limits of what theoretically optimal schemes can achieve. We develop bounds by breaking up possible approaches into two distinct regimes: the first, where the input state and measurement are fixed and known, and the second, which requires a given cutting to work for a complete basis of input states and measurements. For the first case, it is easy to see that bounds addressing the efficiency…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum Information and Cryptography · Low-power high-performance VLSI design
