Automatic Qubit Characterization and Gate Optimization with QubiC Article Swipe
Yilun Xu
,
Gang Huang
,
J. Balewski
,
Ravi Naik
,
Alexis Morvan
,
Brad Mitchell
,
Kasra Nowrouzi
,
David Santiago
,
Irfan Siddiqi
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2104.10866
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2104.10866
As the size and complexity of a quantum computer increases, quantum bit (qubit) characterization and gate optimization become complex and time-consuming tasks. Current calibration techniques require complicated and verbose measurements to tune up qubits and gates, which cannot easily expand to the large-scale quantum systems. We develop a concise and automatic calibration protocol to characterize qubits and optimize gates using QubiC, which is an open source FPGA (field-programmable gate array) based control and measurement system for superconducting quantum information processors. We propose mutli-dimensional loss-based optimization of single-qubit gates and full XY-plane measurement method for the two-qubit CNOT gate calibration. We demonstrate the QubiC automatic calibration protocols are capable of delivering high-fidelity gates on the state-of-the-art transmon-type processor operating at the Advanced Quantum Testbed at Lawrence Berkeley National Laboratory. The single-qubit and two-qubit Clifford gate infidelities measured by randomized benchmarking are of $4.9(1.1) \times 10^{-4}$ and $1.4(3) \times 10^{-2}$, respectively.
Related Topics
Concepts
Qubit
Transmon
Controlled NOT gate
Quantum computer
Computer science
Quantum gate
Quantum circuit
Gate array
Topology (electrical circuits)
Electronic engineering
Field-programmable gate array
Quantum
Quantum error correction
Physics
Electrical engineering
Computer hardware
Quantum mechanics
Engineering
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2104.10866
- https://arxiv.org/pdf/2104.10866
- OA Status
- green
- Cited By
- 4
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4297068418
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4297068418Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2104.10866Digital Object Identifier
- Title
-
Automatic Qubit Characterization and Gate Optimization with QubiCWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-04-22Full publication date if available
- Authors
-
Yilun Xu, Gang Huang, J. Balewski, Ravi Naik, Alexis Morvan, Brad Mitchell, Kasra Nowrouzi, David Santiago, Irfan SiddiqiList of authors in order
- Landing page
-
https://arxiv.org/abs/2104.10866Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2104.10866Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2104.10866Direct OA link when available
- Concepts
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Qubit, Transmon, Controlled NOT gate, Quantum computer, Computer science, Quantum gate, Quantum circuit, Gate array, Topology (electrical circuits), Electronic engineering, Field-programmable gate array, Quantum, Quantum error correction, Physics, Electrical engineering, Computer hardware, Quantum mechanics, EngineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1, 2022: 3Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.FPGA | 66 |
| abstract_inverted_index.full | 89 |
| abstract_inverted_index.gate | 15, 68, 97, 133 |
| abstract_inverted_index.open | 64 |
| abstract_inverted_index.size | 2 |
| abstract_inverted_index.tune | 31 |
| abstract_inverted_index.QubiC | 102 |
| abstract_inverted_index.based | 70 |
| abstract_inverted_index.gates | 58, 87, 111 |
| abstract_inverted_index.using | 59 |
| abstract_inverted_index.which | 36, 61 |
| abstract_inverted_index.QubiC, | 60 |
| abstract_inverted_index.\times | 142, 146 |
| abstract_inverted_index.array) | 69 |
| abstract_inverted_index.become | 17 |
| abstract_inverted_index.cannot | 37 |
| abstract_inverted_index.easily | 38 |
| abstract_inverted_index.expand | 39 |
| abstract_inverted_index.gates, | 35 |
| abstract_inverted_index.method | 92 |
| abstract_inverted_index.qubits | 33, 55 |
| abstract_inverted_index.source | 65 |
| abstract_inverted_index.system | 74 |
| abstract_inverted_index.tasks. | 21 |
| abstract_inverted_index.$1.4(3) | 145 |
| abstract_inverted_index.(qubit) | 12 |
| abstract_inverted_index.Current | 22 |
| abstract_inverted_index.Quantum | 121 |
| abstract_inverted_index.Testbed | 122 |
| abstract_inverted_index.capable | 107 |
| abstract_inverted_index.complex | 18 |
| abstract_inverted_index.concise | 48 |
| abstract_inverted_index.control | 71 |
| abstract_inverted_index.develop | 46 |
| abstract_inverted_index.propose | 81 |
| abstract_inverted_index.quantum | 7, 10, 43, 77 |
| abstract_inverted_index.require | 25 |
| abstract_inverted_index.verbose | 28 |
| abstract_inverted_index.10^{-4}$ | 143 |
| abstract_inverted_index.Advanced | 120 |
| abstract_inverted_index.Berkeley | 125 |
| abstract_inverted_index.Clifford | 132 |
| abstract_inverted_index.Lawrence | 124 |
| abstract_inverted_index.National | 126 |
| abstract_inverted_index.XY-plane | 90 |
| abstract_inverted_index.computer | 8 |
| abstract_inverted_index.measured | 135 |
| abstract_inverted_index.optimize | 57 |
| abstract_inverted_index.protocol | 52 |
| abstract_inverted_index.systems. | 44 |
| abstract_inverted_index.$4.9(1.1) | 141 |
| abstract_inverted_index.10^{-2}$, | 147 |
| abstract_inverted_index.automatic | 50, 103 |
| abstract_inverted_index.operating | 117 |
| abstract_inverted_index.processor | 116 |
| abstract_inverted_index.protocols | 105 |
| abstract_inverted_index.two-qubit | 95, 131 |
| abstract_inverted_index.complexity | 4 |
| abstract_inverted_index.delivering | 109 |
| abstract_inverted_index.increases, | 9 |
| abstract_inverted_index.loss-based | 83 |
| abstract_inverted_index.randomized | 137 |
| abstract_inverted_index.techniques | 24 |
| abstract_inverted_index.Laboratory. | 127 |
| abstract_inverted_index.calibration | 23, 51, 104 |
| abstract_inverted_index.complicated | 26 |
| abstract_inverted_index.demonstrate | 100 |
| abstract_inverted_index.information | 78 |
| abstract_inverted_index.large-scale | 42 |
| abstract_inverted_index.measurement | 73, 91 |
| abstract_inverted_index.processors. | 79 |
| abstract_inverted_index.benchmarking | 138 |
| abstract_inverted_index.calibration. | 98 |
| abstract_inverted_index.characterize | 54 |
| abstract_inverted_index.infidelities | 134 |
| abstract_inverted_index.measurements | 29 |
| abstract_inverted_index.optimization | 16, 84 |
| abstract_inverted_index.single-qubit | 86, 129 |
| abstract_inverted_index.high-fidelity | 110 |
| abstract_inverted_index.respectively. | 148 |
| abstract_inverted_index.transmon-type | 115 |
| abstract_inverted_index.time-consuming | 20 |
| abstract_inverted_index.superconducting | 76 |
| abstract_inverted_index.characterization | 13 |
| abstract_inverted_index.state-of-the-art | 114 |
| abstract_inverted_index.mutli-dimensional | 82 |
| abstract_inverted_index.(field-programmable | 67 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 9 |
| citation_normalized_percentile |