Characterization of entanglement on superconducting quantum computers of up to 414 qubits

As quantum technology advances and the size of quantum computers grow, it becomes increasingly important to understand the extent of quality in the devices. As large-scale entanglement is a quantum resource crucial for achieving quantum advantage, the challenge in its generation makes it a valuable benchmark for measuring the performance of universal quantum devices. In this paper, we study entanglement in Greenberger-Horne-Zeilinger (GHZ) and graph states prepared on the range of IBM Quantum devices. We generate GHZ states and investigate their coherence times with respect to state size and dynamical decoupling techniques. A GHZ fidelity of <a:math xmlns:a="http://www.w3.org/1998/Math/MathML"><a:mrow><a:mn>0.519</a:mn><a:mo>±</a:mo><a:mn>0.014</a:mn></a:mrow></a:math> is measured on a 32-qubit GHZ state, certifying its genuine multipartite entanglement (GME). We show a substantial improvement in GHZ decoherence rates for a seven-qubit GHZ state after implementing dynamical decoupling, and observe a linear trend in the decoherence rate of <b:math xmlns:b="http://www.w3.org/1998/Math/MathML"><b:mrow><b:mi>α</b:mi><b:mo>=</b:mo><b:mrow><b:mo>(</b:mo><b:mn>7.13</b:mn><b:mi>N</b:mi><b:mo>+</b:mo><b:mn>5.54</b:mn><b:mo>)</b:mo></b:mrow><b:mo>×</b:mo><b:msup><b:mn>10</b:mn><b:mrow><b:mo>−</b:mo><b:mn>3</b:mn></b:mrow></b:msup><b:mspace width="0.16em"/><b:mi>µ</b:mi><b:msup><b:mrow><b:mi mathvariant="normal">s</b:mi></b:mrow><b:mrow><b:mo>−</b:mo><b:mn>1</b:mn></b:mrow></b:msup></b:mrow></b:math> for up to <e:math xmlns:e="http://www.w3.org/1998/Math/MathML"><e:mrow><e:mi>N</e:mi><e:mo>=</e:mo><e:mn>15</e:mn></e:mrow></e:math> qubits, confirming the absence of superdecoherence. Additionally, we prepare and characterize fully bipartite entangled native-graph states on 22 superconducting quantum devices with qubit counts as high as 414 qubits, all active qubits of the 433-qubit IBM Osprey device. Analysis of the decay of two-qubit entanglement within the prepared states shows suppression of coherent noise signals with the implementation of dynamical decoupling techniques. Additionally, we observe that the entanglement in some qubit pairs oscillates over time, which is likely caused by residual ZZ-interactions. Characterizing entanglement in native-graph states, along with detecting entanglement oscillations, can be an effective approach to low-level device benchmarking that encapsulates two-qubit error rates along with additional sources of noise, with possible applications to quantum circuit compilation. We develop several tools to automate the preparation and entanglement characterization of GHZ and graph states. In particular, a method to characterize graph state bipartite entanglement using just 36 circuits, constant with respect to the number of qubits. Published by the American Physical Society 2024

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Journal
Physical Review Research
Published
2024-08-12
DOI
https://doi.org/10.1103/physrevresearch.6.033155
Citations
15
Primary Topic
Quantum Computing Algorithms and Architecture
Type
article
Field-Weighted Citation Impact
5.21

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article

Characterization of entanglement on superconducting quantum computers of up to 414 qubits

Lloyd C. L. Hollenberg, Charles D. Hill, Gary J. Mooney, John F. Kam et al.
15 citations
Physical Review Research
Quantum Computing Algorithms and Architecture
5.21
article

Characterization of entanglement on superconducting quantum computers of up to 414 qubits

Lloyd C. L. Hollenberg, Charles D. Hill, Gary J. Mooney, John F. Kam, Haiyue Kang
article en
15 citations

Abstract

As quantum technology advances and the size of quantum computers grow, it becomes increasingly important to understand the extent of quality in the devices. As large-scale entanglement is a quantum resource crucial for achieving quantum advantage, the challenge in its generation makes it a valuable benchmark for measuring the performance of universal quantum devices. In this paper, we study entanglement in Greenberger-Horne-Zeilinger (GHZ) and graph states prepared on the range of IBM Quantum devices. We generate GHZ states and investigate their coherence times with respect to state size and dynamical decoupling techniques. A GHZ fidelity of <a:math xmlns:a="http://www.w3.org/1998/Math/MathML"><a:mrow><a:mn>0.519</a:mn><a:mo>±</a:mo><a:mn>0.014</a:mn></a:mrow></a:math> is measured on a 32-qubit GHZ state, certifying its genuine multipartite entanglement (GME). We show a substantial improvement in GHZ decoherence rates for a seven-qubit GHZ state after implementing dynamical decoupling, and observe a linear trend in the decoherence rate of <b:math xmlns:b="http://www.w3.org/1998/Math/MathML"><b:mrow><b:mi>α</b:mi><b:mo>=</b:mo><b:mrow><b:mo>(</b:mo><b:mn>7.13</b:mn><b:mi>N</b:mi><b:mo>+</b:mo><b:mn>5.54</b:mn><b:mo>)</b:mo></b:mrow><b:mo>×</b:mo><b:msup><b:mn>10</b:mn><b:mrow><b:mo>−</b:mo><b:mn>3</b:mn></b:mrow></b:msup><b:mspace width="0.16em"/><b:mi>µ</b:mi><b:msup><b:mrow><b:mi mathvariant="normal">s</b:mi></b:mrow><b:mrow><b:mo>−</b:mo><b:mn>1</b:mn></b:mrow></b:msup></b:mrow></b:math> for up to <e:math xmlns:e="http://www.w3.org/1998/Math/MathML"><e:mrow><e:mi>N</e:mi><e:mo>=</e:mo><e:mn>15</e:mn></e:mrow></e:math> qubits, confirming the absence of superdecoherence. Additionally, we prepare and characterize fully bipartite entangled native-graph states on 22 superconducting quantum devices with qubit counts as high as 414 qubits, all active qubits of the 433-qubit IBM Osprey device. Analysis of the decay of two-qubit entanglement within the prepared states shows suppression of coherent noise signals with the implementation of dynamical decoupling techniques. Additionally, we observe that the entanglement in some qubit pairs oscillates over time, which is likely caused by residual ZZ-interactions. Characterizing entanglement in native-graph states, along with detecting entanglement oscillations, can be an effective approach to low-level device benchmarking that encapsulates two-qubit error rates along with additional sources of noise, with possible applications to quantum circuit compilation. We develop several tools to automate the preparation and entanglement characterization of GHZ and graph states. In particular, a method to characterize graph state bipartite entanglement using just 36 circuits, constant with respect to the number of qubits. Published by the American Physical Society 2024

Physical Review ResearchVol. 6(3)
The University of Melbourne (AU)
University of Melbourne
Openalex Percentile: Top 4%
Quantum Computing Algorithms and Architecture
5.21
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