Snakes on a Plane: mobile, low dimensional logical qubits on a 2D surface
Adam Siegel, Zhenyu Cai, Hamza Jnane, Balint Koczor, Shaun Pexton,, Armands Strikis, Simon Benjamin

TL;DR
This paper proposes a 2D surface architecture for logical qubits, called 'snakes', that can be moved across a lattice with error mitigation strategies, enabling flexible quantum computation.
Contribution
It introduces a novel logical qubit architecture with mobile 'snake' qubits on a 2D surface, including error detection and undo mechanisms for shuttling.
Findings
Logical snakes can be moved with manageable error rates.
Monitor qubits enable detection of potential damage during shuttling.
The architecture supports interaction between logical qubits via semi-transversal methods.
Abstract
Recent demonstrations indicate that silicon-spin QPUs will be able to shuttle physical qubits rapidly and with high fidelity - a desirable feature for maximising logical connectivity, supporting new codes, and routing around damage. However it may seem that shuttling at the logical level is unwise: static defects in the device may 'scratch' a logical qubit as it passes, causing correlated errors to which the code is highly vulnerable. Here we explore an architecture where logical qubits are 1D strings ('snakes') which can be moved freely over a planar latticework. Possible scratch events are inferred via monitor qubits and the complimentary gap; if deemed a risk, remarkably the shuttle process can be undone in a way that negates any corruption. Interaction between logical snakes is facilitated by a semi-transversal method. We obtain encouraging estimates for the tolerable levels of…
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Taxonomy
TopicsQuantum-Dot Cellular Automata · Quantum Computing Algorithms and Architecture · DNA and Biological Computing
