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quantum sensing using continuous-variable multipartite entanglement","{\"arxiv\":\"1711.10459\",\"openalex\":\"W2768271487\",\"doi\":\"10.1103/physreva.97.032329\"}","2026-05-23T09:00:17.354300837","2026-05-23T09:00:17.354302191","doi","10.1103/physreva.97.032329","arxivId","1711.10459","openalexId","W2768271487","abstractText","Distributed quantum sensing uses quantum correlations between multiple sensors to enhance the measurement of unknown parameters beyond the limits of unentangled systems. We describe a sensing scheme that uses continuous-variable multipartite entanglement to enhance distributed sensing of field-quadrature displacement. By dividing a squeezed-vacuum state between multiple homodyne-sensor nodes using a lossless beam-splitter array, we obtain a root-mean-square (rms) estimation error that scales inversely with the number of nodes (Heisenberg scaling), whereas the rms error of a distributed sensor that does not exploit entanglement is inversely proportional to the square root of the number of nodes (standard quantum limit scaling). Our sensor's scaling advantage is destroyed by loss, but it nevertheless retains an rms-error advantage in settings in which there is moderate loss. Our distributed sensing scheme can be used to calibrate continuous-variable quantum key distribution networks, to perform multiple-sensor cold-atom temperature measurements, and to do distributed interferometric phase sensing.","publishedDate","2018-03-21","publishedYear",2018,"venue","Physical review. A/Physical review, A",219,"authors","keywords",[166,167,168],"pdfUrl","https://arxiv.org/pdf/1711.10459","topVenue","Quantum Information and Cryptography","Mechanical and Optical Resonators","Quantum Mechanics and Applications","paper_W2051089207","Photon-efficient quantum key distribution using time–energy entanglement with high-dimensional encoding","{\"openalex\":\"W2051089207\",\"doi\":\"10.1088/1367-2630/17/2/022002\"}","2026-05-23T04:34:27.19596586","2026-05-23T04:34:27.195967205","10.1088/1367-2630/17/2/022002","W2051089207","Conventional quantum key distribution (QKD) typically uses binary encoding based on photon polarization or time-bin degrees of freedom and achieves a key capacity of at most one bit per photon. Under photon-starved conditions the rate of detection events is much lower than the photon generation rate, because of losses in long distance propagation and the relatively long recovery times of available single-photon detectors. Multi-bit encoding in the photon arrival times can be beneficial in such photon-starved situations. Recent security proofs indicate high-dimensional encoding in the photon arrival times is robust and can be implemented to yield high secure throughput. In this work we demonstrate entanglement-based QKD with high-dimensional encoding whose security against collective Gaussian attacks is provided by a high-visibility Franson interferometer. We achieve unprecedented key capacity and throughput for an entanglement-based QKD system because of four principal factors: Franson interferometry that does not degrade with loss; error correction coding that can tolerate high error rates; optimized time–energy entanglement generation; and highly efficient WSi superconducting nanowire single-photon detectors. The secure key capacity yields as much as 8.7 bits per coincidence. When optimized for throughput we observe a secure key rate of 2.7 Mbit s ^−1 after 20 km fiber transmission with a key capacity of 6.9 bits per photon coincidence. Our results demonstrate a viable approach to high-rate QKD using practical photonic entanglement and single-photon detection technologies.","2015-02-04",2015,"New Journal of Physics",225,[166,168,184],"https://iopscience.iop.org/article/10.1088/1367-2630/17/2/022002/pdf",true,"Quantum Computing Algorithms and Architecture","paper_W3111250589","Distributed quantum sensing","{\"openalex\":\"W3111250589\",\"doi\":\"10.1088/2058-9565/abd4c3\"}","2026-05-23T04:55:06.187612693","2026-05-23T04:55:06.187615334","10.1088/2058-9565/abd4c3","W3111250589","Abstract A plethora of applications hinge on a network or an array of sensors to undertake measurement tasks. A rule of thumb for sensing is that a collective measurement taken by M independent sensors can improve the sensitivity by 1 / M , known as the standard quantum limit (SQL). Quantum resources such as entanglement and squeezed light can be harnessed to surpass the SQL. Distributed quantum sensing is an emerging subject dedicated to investigating the performance gain enabled by entangled states shared by multiple sensors in tackling different measurement problems. This review formulates distributed quantum sensing (DQS) from a quantum-information perspective and describes DQS protocols and their experimental demonstrations. The applications enabled by DQS and an outlook for future opportunities will also be discussed.","2020-12-17",2020,"Quantum Science and Technology",[166,184,168],"paper_W2059207587","Entanglement-Enhanced Sensing in a Lossy and Noisy Environment","{\"arxiv\":\"1411.5969\",\"openalex\":\"W2059207587\",\"doi\":\"10.1103/physrevlett.114.110506\"}","2026-05-21T12:01:50.231534801","2026-05-21T12:01:50.231723849","10.1103/physrevlett.114.110506","1411.5969","W2059207587","Nonclassical states are essential for optics-based quantum information processing, but their fragility limits their utility for practical scenarios in which loss and noise inevitably degrade, if not destroy, nonclassicality. Exploiting nonclassical states in quantum metrology yields sensitivity advantages over all classical schemes delivering the same energy per measurement interval to the sample being probed. These enhancements, almost without exception, are severely diminished by quantum decoherence. Here, we experimentally demonstrate an entanglement-enhanced sensing system that is resilient to quantum decoherence. We employ entanglement to realize a 20% signal-to-noise ratio improvement over the optimum classical scheme in an entanglement-breaking environment plagued by 14 dB of loss and a noise background 75 dB stronger than the returned probe light. Our result suggests that advantageous quantum-sensing technology could be developed for practical situations.","2015-03-20","Physical Review Letters",288,[166,168,167],"https://arxiv.org/pdf/1411.5969",{"_60":212,"_62":213},[],[214],{"_65":215,"_67":216,"_69":217,"_71":218},1785470358715,{"_74":220,"_76":77,"_78":215,"_79":-5,"_80":26,"_81":26,"_82":26,"_83":-5,"_84":-5,"_85":86,"_35":87,"_88":89},[73,219],"[\"portal\",\"industries\"]","industries",[221,222,223,224,225,226,227,228,229,230,231,232],{"_15":293,"_29":294,"_31":-5,"_32":295,"_33":296,"_34":-5,"_35":36,"_37":-5,"_39":-5,"_40":236,"_42":-5,"_44":-5,"_237":238,"_239":-5,"_240":77,"_241":242,"_243":297,"_245":26,"_246":86,"_247":26,"_248":-5,"_58":294,"_59":296},{"_15":289,"_29":290,"_31":-5,"_32":-5,"_33":291,"_34":-5,"_35":36,"_37":-5,"_39":-5,"_40":236,"_42":-5,"_44":-5,"_237":238,"_239":-5,"_240":77,"_241":242,"_243":292,"_245":26,"_246":86,"_247":26,"_248":-5,"_58":290,"_59":291},{"_15":283,"_29":284,"_31":-5,"_32":285,"_33":286,"_34":-5,"_35":36,"_37":-5,"_39":-5,"_40":236,"_42":-5,"_44":-5,"_237":238,"_239":-5,"_240":77,"_241":242,"_243":287,"_245":26,"_246":86,"_247":26,"_248":-5,"_58":284,"_59":286},{"_15":279,"_29":280,"_31":-5,"_32":-5,"_33":281,"_34":-5,"_35":36,"_37":-5,"_39":-5,"_40":236,"_42":-5,"_44":-5,"_237":238,"_239":-5,"_240":77,"_241":242,"_243":282,"_245":26,"_246":86,"_247":26,"_248":-5,"_58":280,"_59":281},{"_15":275,"_29":276,"_31":-5,"_32":-5,"_33":277,"_34":-5,"_35":36,"_37":-5,"_39":-5,"_40":236,"_42":-5,"_44":-5,"_237":238,"_239":-5,"_240":77,"_241":242,"_243":278,"_245":26,"_246":86,"_247":26,"_248":-5,"_58":276,"_59":277},{"_15":269,"_29":270,"_31":-5,"_32":271,"_33":272,"_34":-5,"_35":36,"_37":-5,"_39":-5,"_40":236,"_42":-5,"_44":-5,"_237":238,"_239":-5,"_240":77,"_241":242,"_243":273,"_245":26,"_246":86,"_247":26,"_248":-5,"_58":270,"_59":272},{"_15":265,"_29":266,"_31":-5,"_32":-5,"_33":267,"_34":-5,"_35":36,"_37":-5,"_39":-5,"_40":236,"_42":-5,"_44":-5,"_237":238,"_239":-5,"_240":77,"_241":242,"_243":268,"_245":26,"_246":183,"_247":26,"_248":-5,"_58":266,"_59":267},{"_15":261,"_29":262,"_31":-5,"_32":-5,"_33":263,"_34":-5,"_35":36,"_37":-5,"_39":-5,"_40":236,"_42":-5,"_44":-5,"_237":238,"_239":-5,"_240":77,"_241":242,"_243":264,"_245":26,"_246":86,"_247":26,"_248":-5,"_58":262,"_59":263},{"_15":257,"_29":258,"_31":-5,"_32":-5,"_33":259,"_34":-5,"_35":36,"_37":-5,"_39":-5,"_40":236,"_42":-5,"_44":-5,"_237":238,"_239":-5,"_240":77,"_241":242,"_243":260,"_245":26,"_246":86,"_247":26,"_248":-5,"_58":258,"_59":259},{"_15":253,"_29":254,"_31":-5,"_32":-5,"_33":255,"_34":-5,"_35":36,"_37":-5,"_39":-5,"_40":236,"_42":-5,"_44":-5,"_237":238,"_239":-5,"_240":77,"_241":242,"_243":256,"_245":26,"_246":86,"_247":26,"_248":-5,"_58":254,"_59":255},{"_15":249,"_29":250,"_31":-5,"_32":-5,"_33":251,"_34":-5,"_35":36,"_37":-5,"_39":-5,"_40":236,"_42":-5,"_44":-5,"_237":238,"_239":-5,"_240":77,"_241":242,"_243":252,"_245":26,"_246":86,"_247":26,"_248":-5,"_58":250,"_59":251},{"_15":233,"_29":234,"_31":-5,"_32":-5,"_33":235,"_34":-5,"_35":36,"_37":-5,"_39":-5,"_40":236,"_42":-5,"_44":-5,"_237":238,"_239":-5,"_240":77,"_241":242,"_243":244,"_245":26,"_246":86,"_247":26,"_248":-5,"_58":234,"_59":235},"tax_ind_smartphone","智能手机","Smartphone","manual","taxonomyType","INDUSTRY","code","level","parentId","tax_ind_root","path","科技行业/智能手机","sortOrder","isLeaf","entityCount","children","tax_ind_robot","机器人","Robotics","科技行业/机器人","tax_ind_wearable","智能穿戴","Smart Wearables","科技行业/智能穿戴","tax_ind_energy","新能源与智能制造","New Energy & Smart Manufacturing","科技行业/新能源与智能制造","tax_ind_biotech","生物科技","Biotech","科技行业/生物科技","tax_ind_quantum","量子计算","Quantum Computing","科技行业/量子计算","tax_ind_blockchain","区块链",[274],"Blockchain","科技行业/区块链","Web3","tax_ind_enterprise","企业软件","Enterprise Software","科技行业/企业软件","tax_ind_security","网络安全","Cybersecurity","科技行业/网络安全","tax_ind_semi","半导体",[288],"Semiconductor","科技行业/半导体","芯片","tax_ind_cloud","云计算","Cloud Computing","科技行业/云计算","tax_ind_ai","人工智能",[298,299],"Artificial Intelligence","科技行业/人工智能","AI","AI 技术","env",{"_302":24},"SITE_BASE_URL"]

Zheshen Zhang 人物

Zheshen Zhang · 相关事件