An analysis of the relative effects of connectivity and coupling interactions on spin networks emulating the D-Wave 2000Q quantum annealer

Abstract From available data, we show strong positive spatial correlations in the qubits of a D-Wave 2000Q quantum annealing chip that are connected to qubits outside their own unit cell. Then, by simulating the dynamics of three different spin networks and two different initial conditions, we then show that correlation between nodes is affected by a number of factors. The different connectivity of qubits within the network means that information transfer is not straightforward even when all the qubit-qubit couplings have equal weighting. Connected nodes behave even more dissimilarly when the couplings’ strength is scaled according to the physical length of the connections (here to simulate dipole-dipole interactions). This highlights the importance of understanding the architectural features and potentially unprogrammed interactions/connections that can divert the performance of a quantum system away from the idealised model of identical qubits and couplings across the chip.

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Publication Details

Journal
Natural Computing
Published
2024-10-24
DOI
https://doi.org/10.1007/s11047-024-10001-w
Citations
2
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
0.69

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article

An analysis of the relative effects of connectivity and coupling interactions on spin networks emulating the D-Wave 2000Q quantum annealer

Irene D’Amico, Jessica Park, Susan Stepney
2 citations
Natural Computing
Quantum Computing Algorithms and Architecture
0.69
article

An analysis of the relative effects of connectivity and coupling interactions on spin networks emulating the D-Wave 2000Q quantum annealer

Irene D’Amico, Jessica Park, Susan Stepney
article en
2 citations

Abstract

Abstract From available data, we show strong positive spatial correlations in the qubits of a D-Wave 2000Q quantum annealing chip that are connected to qubits outside their own unit cell. Then, by simulating the dynamics of three different spin networks and two different initial conditions, we then show that correlation between nodes is affected by a number of factors. The different connectivity of qubits within the network means that information transfer is not straightforward even when all the qubit-qubit couplings have equal weighting. Connected nodes behave even more dissimilarly when the couplings’ strength is scaled according to the physical length of the connections (here to simulate dipole-dipole interactions). This highlights the importance of understanding the architectural features and potentially unprogrammed interactions/connections that can divert the performance of a quantum system away from the idealised model of identical qubits and couplings across the chip.

Natural ComputingVol. 24(1)
University of York (GB)
Defence Science and Technology Laboratory, Los Alamos National Laboratory
Openalex Percentile: Top 24%
Quantum Computing Algorithms and Architecture
0.69
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