CNOT circuits need little help to implement arbitrary Hadamard-free Clifford transformations they generate Article Swipe
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· 2022
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2210.16195
A Hadamard-free Clifford transformation is a circuit composed of quantum Phase (P), CZ, and CNOT gates. It is known that such a circuit can be written as a three-stage computation, -P-CZ-CNOT-, where each stage consists only of gates of the specified type. In this paper, we focus on the minimization of circuit depth by entangling gates, corresponding to the important time-to-solution metric and the reduction of noise due to decoherence. We consider two popular connectivity maps: Linear Nearest Neighbor (LNN) and all-to-all. First, we show that a Hadamard-free Clifford operation can be implemented over LNN in depth $5n$, i.e., in the same depth as the -CNOT- stage alone. This allows us to implement arbitrary Clifford transformation over LNN in depth no more than $7n{-}4$, improving the best previous upper bound of $9n$. Second, we report heuristic evidence that on average a random uniformly distributed Hadamard-free Clifford transformation over $n{>}6$ qubits can be implemented with only a tiny additive overhead over all-to-all connected architecture compared to the best-known depth-optimized implementation of the -CNOT- stage alone. This suggests the reduction of the depth of Clifford circuits from $2n\,{+}\,O(\log^2(n))$ to $1.5n\,{+}\,O(\log^2(n))$ over unrestricted architectures.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2210.16195
- https://arxiv.org/pdf/2210.16195
- OA Status
- green
- References
- 19
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4307786564
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4307786564Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2210.16195Digital Object Identifier
- Title
-
CNOT circuits need little help to implement arbitrary Hadamard-free Clifford transformations they generateWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-10-28Full publication date if available
- Authors
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Dmitri Maslov, Willers YangList of authors in order
- Landing page
-
https://arxiv.org/abs/2210.16195Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2210.16195Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2210.16195Direct OA link when available
- Concepts
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Controlled NOT gate, Hadamard transform, Quantum computer, Toffoli gate, Quantum gate, Quantum circuit, Metric (unit), Transformation (genetics), Overhead (engineering), Computer science, Mathematics, Electronic circuit, Topology (electrical circuits), Discrete mathematics, Algorithm, Quantum, Quantum error correction, Combinatorics, Physics, Quantum mechanics, Operations management, Gene, Chemistry, Biochemistry, Operating system, Mathematical analysis, EconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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19Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://arxiv.org/abs/2210.16195 |
| publication_date | 2022-10-28 |
| publication_year | 2022 |
| referenced_works | https://openalex.org/W4394672652, https://openalex.org/W2591389137, https://openalex.org/W4221145624, https://openalex.org/W3160400124, https://openalex.org/W1965035185, https://openalex.org/W2060887031, https://openalex.org/W2764347725, https://openalex.org/W3001593109, https://openalex.org/W3178594889, https://openalex.org/W2052146120, https://openalex.org/W1532834996, https://openalex.org/W2918135161, https://openalex.org/W2963956175, https://openalex.org/W1993688167, https://openalex.org/W3100246962, https://openalex.org/W4252740254, https://openalex.org/W2170620327, https://openalex.org/W2586874551, https://openalex.org/W2079294297 |
| referenced_works_count | 19 |
| abstract_inverted_index.A | 0 |
| abstract_inverted_index.a | 5, 21, 27, 86, 140, 155 |
| abstract_inverted_index.In | 42 |
| abstract_inverted_index.It | 16 |
| abstract_inverted_index.We | 70 |
| abstract_inverted_index.as | 26, 103 |
| abstract_inverted_index.be | 24, 91, 151 |
| abstract_inverted_index.by | 53 |
| abstract_inverted_index.in | 95, 99, 118 |
| abstract_inverted_index.is | 4, 17 |
| abstract_inverted_index.no | 120 |
| abstract_inverted_index.of | 8, 36, 38, 50, 65, 130, 169, 178, 181 |
| abstract_inverted_index.on | 47, 138 |
| abstract_inverted_index.to | 57, 68, 111, 164, 186 |
| abstract_inverted_index.us | 110 |
| abstract_inverted_index.we | 45, 83, 133 |
| abstract_inverted_index.CZ, | 12 |
| abstract_inverted_index.LNN | 94, 117 |
| abstract_inverted_index.and | 13, 62, 80 |
| abstract_inverted_index.can | 23, 90, 150 |
| abstract_inverted_index.due | 67 |
| abstract_inverted_index.the | 39, 48, 58, 63, 100, 104, 125, 165, 170, 176, 179 |
| abstract_inverted_index.two | 72 |
| abstract_inverted_index.(P), | 11 |
| abstract_inverted_index.CNOT | 14 |
| abstract_inverted_index.This | 108, 174 |
| abstract_inverted_index.best | 126 |
| abstract_inverted_index.each | 32 |
| abstract_inverted_index.from | 184 |
| abstract_inverted_index.more | 121 |
| abstract_inverted_index.only | 35, 154 |
| abstract_inverted_index.over | 93, 116, 147, 159, 188 |
| abstract_inverted_index.same | 101 |
| abstract_inverted_index.show | 84 |
| abstract_inverted_index.such | 20 |
| abstract_inverted_index.than | 122 |
| abstract_inverted_index.that | 19, 85, 137 |
| abstract_inverted_index.this | 43 |
| abstract_inverted_index.tiny | 156 |
| abstract_inverted_index.with | 153 |
| abstract_inverted_index.$5n$, | 97 |
| abstract_inverted_index.$9n$. | 131 |
| abstract_inverted_index.(LNN) | 79 |
| abstract_inverted_index.Phase | 10 |
| abstract_inverted_index.bound | 129 |
| abstract_inverted_index.depth | 52, 96, 102, 119, 180 |
| abstract_inverted_index.focus | 46 |
| abstract_inverted_index.gates | 37 |
| abstract_inverted_index.i.e., | 98 |
| abstract_inverted_index.known | 18 |
| abstract_inverted_index.maps: | 75 |
| abstract_inverted_index.noise | 66 |
| abstract_inverted_index.stage | 33, 106, 172 |
| abstract_inverted_index.type. | 41 |
| abstract_inverted_index.upper | 128 |
| abstract_inverted_index.where | 31 |
| abstract_inverted_index.-CNOT- | 105, 171 |
| abstract_inverted_index.First, | 82 |
| abstract_inverted_index.Linear | 76 |
| abstract_inverted_index.allows | 109 |
| abstract_inverted_index.alone. | 107, 173 |
| abstract_inverted_index.gates, | 55 |
| abstract_inverted_index.gates. | 15 |
| abstract_inverted_index.metric | 61 |
| abstract_inverted_index.paper, | 44 |
| abstract_inverted_index.qubits | 149 |
| abstract_inverted_index.random | 141 |
| abstract_inverted_index.report | 134 |
| abstract_inverted_index.Nearest | 77 |
| abstract_inverted_index.Second, | 132 |
| abstract_inverted_index.average | 139 |
| abstract_inverted_index.circuit | 6, 22, 51 |
| abstract_inverted_index.popular | 73 |
| abstract_inverted_index.quantum | 9 |
| abstract_inverted_index.written | 25 |
| abstract_inverted_index.Clifford | 2, 88, 114, 145, 182 |
| abstract_inverted_index.Neighbor | 78 |
| abstract_inverted_index.additive | 157 |
| abstract_inverted_index.circuits | 183 |
| abstract_inverted_index.compared | 163 |
| abstract_inverted_index.composed | 7 |
| abstract_inverted_index.consider | 71 |
| abstract_inverted_index.consists | 34 |
| abstract_inverted_index.evidence | 136 |
| abstract_inverted_index.overhead | 158 |
| abstract_inverted_index.previous | 127 |
| abstract_inverted_index.suggests | 175 |
| abstract_inverted_index.$7n{-}4$, | 123 |
| abstract_inverted_index.arbitrary | 113 |
| abstract_inverted_index.connected | 161 |
| abstract_inverted_index.heuristic | 135 |
| abstract_inverted_index.implement | 112 |
| abstract_inverted_index.important | 59 |
| abstract_inverted_index.improving | 124 |
| abstract_inverted_index.operation | 89 |
| abstract_inverted_index.reduction | 64, 177 |
| abstract_inverted_index.specified | 40 |
| abstract_inverted_index.uniformly | 142 |
| abstract_inverted_index.$n{>}6$ | 148 |
| abstract_inverted_index.all-to-all | 160 |
| abstract_inverted_index.best-known | 166 |
| abstract_inverted_index.entangling | 54 |
| abstract_inverted_index.all-to-all. | 81 |
| abstract_inverted_index.distributed | 143 |
| abstract_inverted_index.implemented | 92, 152 |
| abstract_inverted_index.three-stage | 28 |
| abstract_inverted_index.-P-CZ-CNOT-, | 30 |
| abstract_inverted_index.architecture | 162 |
| abstract_inverted_index.computation, | 29 |
| abstract_inverted_index.connectivity | 74 |
| abstract_inverted_index.decoherence. | 69 |
| abstract_inverted_index.minimization | 49 |
| abstract_inverted_index.unrestricted | 189 |
| abstract_inverted_index.Hadamard-free | 1, 87, 144 |
| abstract_inverted_index.corresponding | 56 |
| abstract_inverted_index.architectures. | 190 |
| abstract_inverted_index.implementation | 168 |
| abstract_inverted_index.transformation | 3, 115, 146 |
| abstract_inverted_index.depth-optimized | 167 |
| abstract_inverted_index.time-to-solution | 60 |
| abstract_inverted_index.$2n\,{+}\,O(\log^2(n))$ | 185 |
| abstract_inverted_index.$1.5n\,{+}\,O(\log^2(n))$ | 187 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| citation_normalized_percentile.value | 0.1293851 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |