[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-140765-105":59,"doc-detail-140765-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","aquila-quera-computing-inc-white-paper-selected-best-practices","Aquila - QuEra Computing Inc. White Paper - Selected best practices","","Aquila is QuEra’s 256-qubit neutral-atom quantum computer, presented through a whitepaper that explains how the device works, the key performance benchmarks, and application-focused examples. The document targets prospective users and quantum educators, offering practical guidance for using Aquila effectively, including strategies to reduce shot counts, choose protocol robustness, and mitigate sources of error. It also outlines trade-offs between speed, cost, and shot noise, and supports reproducibility via Braket SDK notebooks.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/aquila-quera-computing-inc-white-paper-selected-best-practices/140765/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/aquila-quera-computing-inc-white-paper-selected-best-practices/140765.png","ImageObject",300,407,{"name":92,"@type":93},"Sophia Brooks","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-09-15","2026-08-24",true,{"@type":102,"interactionType":103,"userInteractionCount":19},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"How can shot counts be reduced when running few-atom dynamics on Aquila?","Question",{"text":112,"@type":113},"Parallelize the same configuration multiple times across the atom array and aggregate measurements. The examples commonly use a 4×4 array of atoms spaced 25 μm apart.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What is the recommended approach for large phase jumps during control?",{"text":117,"@type":113},"When executing a large jump in phase, avoid having the Rabi drive active. This guidance accounts for how the AOMs drive phase and amplitude for the Rabi control.",{"name":119,"@type":110,"acceptedAnswer":120},"How should atoms be positioned relative to the blockade radius for sensitive protocol evolution?",{"text":121,"@type":113},"Set atoms either deep within or far from the blockade radius. Otherwise, the evolution may become sensitive to thermal position fluctuations.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},140765,1787612808,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":19,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":129,"read_time":144},962084925636,"https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d","Aquila  \nQuEra’s 256-qubit neutral-atom quantum computer  \nVersion 1.0, June 20, 2023  \nAlgorithms & Applications team:  \nJonathan Wurtz, Fangli Liu, Phillip Weinberg, John Long, Sheng-Tao Wang  \nAquila team:  \nAlexei Bylinskii, Boris Braverman, Sergio H. Cantu, Florian Huber, Jesse Amato-Grill, Alexander Lukin  \nNathan Gemelke, CTO Alexander Keesling, CEO  \nQuEra Computing Inc. White Paper  \nTarget Audience: Prospective Users Quantum Educators  \nSelected “best practices.”  \nIn this whitepaper we include many suggestions on how to use Aquila to the best of its capabilities. A few of our favorite recommendations are collected here.  \nOn “parallelizing” to reduce shot counts  \nWhen doing few-atom dynamics, you may reduce the number of shots by parallelizing the same configuration multiple times across the array. These examples typically use a 4×4 array of atoms spaced 25μm apart.  \n-Phillip Weinberg  \nOn implementing phase jumps  \nWhen executing a large jump in phase, it is best to not have the Rabi drive active. This is due to the particulars ofthe AOMs that drive the phase and amplitude of the Rabi drive.  \n-Alexander Keesling  \nOn positioning atoms away from the blockade radius  \nWhen designing protocols and algorithms, it is best to set atoms either deep within or far from the blockade radius; otherwise, the evolution may be sensitive to thermal position fluctuations.  \n-Shengtao Wang  \nOn designing smooth waveforms  \nThe optical control elements have a large but finite bandwidth, which may cause rapidly varying waveforms to lead to unexpected behavior. Consider designing smooth protocols wherever possible.  \n-Boris Braverman  \nOn maximizing Rabi frequency  \nWhen implementing dynamics, it is important to keep the protocol as short as possible to minimize decoherence effects. If possible, choose the maximum possible Rabi drive Ω to minimize the time given fixed total pulse area Ωt.  \n-Nathan Gemelke  \nOn the robustness of adiabatic protocols  \nAdiabatic protocols are a flexible and robust mode for analog computation, due to a relative insensitivity to phase, amplitude, and position noise. Consider them when designing analog algorithms!  \n-Jonathan Wurtz  \nOn choosing the number of shots  \nThere is a trade-off between shot noise and speed/cost. ~100 measurements are a good middle ground, with up to 1000 shots needed for highresolution phase diagrams and low-probability outcomes, and as few as 25 shots for parallelized few-atom arrays.  \n-Fangli Liu  \nTable of Contents  \n1. Introduction 4  \n1.1. Background and literature 5  \n1.2. The key ingredients of neutral-atom quantum computing 5  \n1.3. The Rydberg Hamiltonian 14  \n1.4. Dominant sources of error 15  \n1.5. Datasheet of Aquila capabilities and performance metrics 16  \n2. Example 1: Single-qubit dynamics 18  \n2.1. Rabi oscillations 19  \n2.2. Time-dependent protocols 20  \n2.3. Dynamical decoupling protocols 22  \n3. Example 2: Many-qubit dynamics 23  \n3.1. Adiabatic state preparation and the Rydberg blockade 23  \n3.2. Rabi frequency enhancement 24  \n3.3. Levine-Pichler gate analogues 26  \n3.4. Interacting non-equilibrium dynamics of two atoms 27  \n4. Example 3: Many-body ordered phases 29  \n4.1. The 1D 􀢆􀫛 phase 29  \n4.2. Adiabatic preparation performance characterization 30  \n4.3. The 2D striated and checkerboard phase 31  \n5. Example 4: Many-body quantum scars 33  \n6. Example 5: Maximum independent set on unit disk graphs 35  \n7. References 38  \n1. Introduction  \nThe neutral-atom quantum computer “Aquila” is QuEra’s latest device available through the Braket cloud service on Amazon Web Services (AWS) . Aquila is a “fieldprogrammable qubit array”(FPQA) operated as an analog Hamiltonian simulator on a user-configurable architecture, executing programmable coherent quantum dynamics on up to 256 neutral-atom qubits. This whitepaper serves as an overview of Aquila and its capabilities: how it works under the hood, key performance benchmarks, and examples that demonstrate some quint","cbCairqocd07agE8","https://ap.wps.com/l/cbCairqocd07agE8","pdf",2648627,39,"English","# Introduction\n## Background and literature\n## The key ingredients of neutral-atom quantum computing\n## The Rydberg Hamiltonian\n## Dominant sources of error\n## Datasheet of Aquila capabilities and performance metrics\n# Example 1: Single-qubit dynamics\n## Rabi oscillations\n## Time-dependent protocols\n## Dynamical decoupling protocols\n# Example 2: Many-qubit dynamics\n## Adiabatic state preparation and the Rydberg blockade\n## Rabi frequency enhancement\n## Levine-Pichler gate analogues\n## Interacting non-equilibrium dynamics of two atoms\n# Example 3: Many-body ordered phases\n## The 1D ‏​⁡‏​⁢‏​⁡ phase\n## Adiabatic preparation performance characterization\n## The 2D striated and checkerboard phase\n# Example 4: Many-body quantum scars\n# Example 5: Maximum independent set on unit disk graphs\n# References","[{\"question\":\"How can shot counts be reduced when running few-atom dynamics on Aquila?\",\"answer\":\"Parallelize the same configuration multiple times across the atom array and aggregate measurements. The examples commonly use a 4×4 array of atoms spaced 25 μm apart.\"},{\"question\":\"What is the recommended approach for large phase jumps during control?\",\"answer\":\"When executing a large jump in phase, avoid having the Rabi drive active. This guidance accounts for how the AOMs drive phase and amplitude for the Rabi control.\"},{\"question\":\"How should atoms be positioned relative to the blockade radius for sensitive protocol evolution?\",\"answer\":\"Set atoms either deep within or far from the blockade radius. Otherwise, the evolution may become sensitive to thermal position fluctuations.\"}]","Aquila - QuEra Computing Inc. White Paper - Selected best practices | PDF",98]