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Full quantum tomography study of Google’s Sycamore gate on IBM’s quantum computers
by
Eleuch, Hichem
, AbuGhanem, Muhammad
in
Algorithms
/ Gates (circuits)
/ Hardware
/ Microprocessors
/ Nanotechnology and Microengineering
/ Physics
/ Physics and Astronomy
/ Processors
/ Quantum computers
/ Quantum computing
/ Quantum Information Technology
/ Quantum phenomena
/ Quantum Physics
/ Qubits (quantum computing)
/ Spintronics
/ Tomography
2024
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Full quantum tomography study of Google’s Sycamore gate on IBM’s quantum computers
by
Eleuch, Hichem
, AbuGhanem, Muhammad
in
Algorithms
/ Gates (circuits)
/ Hardware
/ Microprocessors
/ Nanotechnology and Microengineering
/ Physics
/ Physics and Astronomy
/ Processors
/ Quantum computers
/ Quantum computing
/ Quantum Information Technology
/ Quantum phenomena
/ Quantum Physics
/ Qubits (quantum computing)
/ Spintronics
/ Tomography
2024
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Do you wish to request the book?
Full quantum tomography study of Google’s Sycamore gate on IBM’s quantum computers
by
Eleuch, Hichem
, AbuGhanem, Muhammad
in
Algorithms
/ Gates (circuits)
/ Hardware
/ Microprocessors
/ Nanotechnology and Microengineering
/ Physics
/ Physics and Astronomy
/ Processors
/ Quantum computers
/ Quantum computing
/ Quantum Information Technology
/ Quantum phenomena
/ Quantum Physics
/ Qubits (quantum computing)
/ Spintronics
/ Tomography
2024
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Full quantum tomography study of Google’s Sycamore gate on IBM’s quantum computers
Journal Article
Full quantum tomography study of Google’s Sycamore gate on IBM’s quantum computers
2024
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Overview
The potential of achieving computational hardware with quantum advantage depends heavily on the quality of quantum gate operations. However, the presence of imperfect two-qubit gates poses a significant challenge and acts as a major obstacle in developing scalable quantum information processors. Google’s Quantum AI and collaborators claimed to have conducted a supremacy regime experiment. In this experiment, a new two-qubit universal gate called the
Sycamore
gate is constructed and employed to generate random quantum circuits (RQCs), using a programmable quantum processor with 53 qubits. These computations were carried out in a computational state space of size
9
×
10
15
. Nevertheless, even in strictly-controlled laboratory settings, quantum information on quantum processors is susceptible to various disturbances, including undesired interaction with the surroundings and imperfections in the quantum state. To address this issue, we conduct both quantum state tomography (QST) and quantum process tomography (QPT) experiments on Google’s
Sycamore
gate using different artificial architectural superconducting quantum computer. Furthermore, to demonstrate how errors affect gate fidelity at the level of quantum circuits, we design and conduct full QST experiments for the five-qubit eight-cycle circuit, which was introduced as an example of the programability of Google’s
Sycamore
quantum processor. These quantum tomography experiments are conducted in three distinct environments: noise-free, noisy simulation, and on IBM Quantum’s genuine quantum computer. Our results offer valuable insights into the performance of IBM Quantum’s hardware and the robustness of
Sycamore
gates within this experimental setup. These findings contribute to our understanding of quantum hardware performance and provide valuable information for optimizing quantum algorithms for practical applications.
Publisher
Springer Berlin Heidelberg,Springer Nature B.V
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