{"title":"超导平台上具有本机门集的硬件高效量子随机存取存储器设计","authors":"Yun-Jie Wang, Sheng Zhang, Tai-Ping Sun, Ze-An Zhao, Xiao-Fan Xu, Xi-Ning Zhuang, Huan-Yu Liu, Cheng Xue, Peng Duan, Yu-Chun Wu, Zhao-Yun Chen, Guo-Ping Guo","doi":"10.1002/qute.202400519","DOIUrl":null,"url":null,"abstract":"<p>Quantum Random Access Memory (QRAM) is a critical component for enabling data queries in superposition, which is the cornerstone of quantum algorithms. Among various QRAM architectures, the bucket-brigade model stands out due to its noise resilience. This study presents a hardware-efficient native gate set <span></span><math>\n <semantics>\n <mrow>\n <mo>{</mo>\n <mi>iSCZ</mi>\n <mo>,</mo>\n <mi>C</mi>\n <mo>−</mo>\n <mi>iSCZ</mi>\n <mo>,</mo>\n <msup>\n <mi>S</mi>\n <mo>†</mo>\n </msup>\n <mo>}</mo>\n </mrow>\n <annotation>$\\lbrace \\textsf {iSCZ}, \\textsf {C-iSCZ}, \\textsf {S}^{\\dagger }\\rbrace$</annotation>\n </semantics></math> for implementing bucket-brigade QRAM on superconducting platforms. The experimental feasibility of the proposed gate set is demonstrated, showing high fidelity and reduced complexity. By leveraging the complementary control property in QRAM, the approach directly substitutes the conventional <span></span><math>\n <semantics>\n <mrow>\n <mo>{</mo>\n <mi>SWAP</mi>\n <mo>,</mo>\n <mi>CSWAP</mi>\n <mo>}</mo>\n </mrow>\n <annotation>$\\lbrace \\textsf {SWAP}, \\textsf {CSWAP} \\rbrace$</annotation>\n </semantics></math> gates with the new gate set, eliminating decomposition overhead and significantly reducing circuit depth and gate count.</p>","PeriodicalId":72073,"journal":{"name":"Advanced quantum technologies","volume":"8 5","pages":""},"PeriodicalIF":4.3000,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hardware-Efficient Quantum Random Access Memory Design with a Native Gate Set on Superconducting Platforms\",\"authors\":\"Yun-Jie Wang, Sheng Zhang, Tai-Ping Sun, Ze-An Zhao, Xiao-Fan Xu, Xi-Ning Zhuang, Huan-Yu Liu, Cheng Xue, Peng Duan, Yu-Chun Wu, Zhao-Yun Chen, Guo-Ping Guo\",\"doi\":\"10.1002/qute.202400519\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Quantum Random Access Memory (QRAM) is a critical component for enabling data queries in superposition, which is the cornerstone of quantum algorithms. Among various QRAM architectures, the bucket-brigade model stands out due to its noise resilience. This study presents a hardware-efficient native gate set <span></span><math>\\n <semantics>\\n <mrow>\\n <mo>{</mo>\\n <mi>iSCZ</mi>\\n <mo>,</mo>\\n <mi>C</mi>\\n <mo>−</mo>\\n <mi>iSCZ</mi>\\n <mo>,</mo>\\n <msup>\\n <mi>S</mi>\\n <mo>†</mo>\\n </msup>\\n <mo>}</mo>\\n </mrow>\\n <annotation>$\\\\lbrace \\\\textsf {iSCZ}, \\\\textsf {C-iSCZ}, \\\\textsf {S}^{\\\\dagger }\\\\rbrace$</annotation>\\n </semantics></math> for implementing bucket-brigade QRAM on superconducting platforms. The experimental feasibility of the proposed gate set is demonstrated, showing high fidelity and reduced complexity. By leveraging the complementary control property in QRAM, the approach directly substitutes the conventional <span></span><math>\\n <semantics>\\n <mrow>\\n <mo>{</mo>\\n <mi>SWAP</mi>\\n <mo>,</mo>\\n <mi>CSWAP</mi>\\n <mo>}</mo>\\n </mrow>\\n <annotation>$\\\\lbrace \\\\textsf {SWAP}, \\\\textsf {CSWAP} \\\\rbrace$</annotation>\\n </semantics></math> gates with the new gate set, eliminating decomposition overhead and significantly reducing circuit depth and gate count.</p>\",\"PeriodicalId\":72073,\"journal\":{\"name\":\"Advanced quantum technologies\",\"volume\":\"8 5\",\"pages\":\"\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-01-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced quantum technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/qute.202400519\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"OPTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced quantum technologies","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/qute.202400519","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OPTICS","Score":null,"Total":0}
Hardware-Efficient Quantum Random Access Memory Design with a Native Gate Set on Superconducting Platforms
Quantum Random Access Memory (QRAM) is a critical component for enabling data queries in superposition, which is the cornerstone of quantum algorithms. Among various QRAM architectures, the bucket-brigade model stands out due to its noise resilience. This study presents a hardware-efficient native gate set for implementing bucket-brigade QRAM on superconducting platforms. The experimental feasibility of the proposed gate set is demonstrated, showing high fidelity and reduced complexity. By leveraging the complementary control property in QRAM, the approach directly substitutes the conventional gates with the new gate set, eliminating decomposition overhead and significantly reducing circuit depth and gate count.
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