![\"Error](\"https:\/\/sites.krieger.jhu.edu\/arqc-smart\/files\/2025\/06\/Characterization-1.jpg\")
<\/figure>\n<\/div>\n\n\n\nScalable Error Characterization<\/h2>\n\n\n\n
While there is a litany of relevant approaches for error characterization already in existence, there is generally a tradeoff among techniques that deliver informational completeness versus efficiency. SMART aims to develop protocols that balance this tradeoff in order to achieve efficient, scalable error characterization protocols<\/p>\n<\/div>\n<\/div>\n\n\n\n
![\"EM](\"https:\/\/sites.krieger.jhu.edu\/arqc-smart\/files\/2025\/06\/gates_with_pulses-1024x683.jpg\")
<\/figure>\n<\/div>\n\n\n\nResource Efficient Error Management<\/h2>\n\n\n\n
Broadly, approaches designed to manage noise in quantum
systems seek to mitigate, suppress, correct, or avoid errors. While in principle, each class of protocols can be employed on its own, it has long been appreciated that practical quantum error management schemes are likely to necessitate multiple approaches working in concert to achieve utility-scale quantum computation and, eventually, fault tolerance. SMART error management protocols will follow this same principle with the added feature of being characterization informed.<\/p>\n<\/div>\n<\/div>\n\n\n\n
![\"CPU-QPU](\"https:\/\/sites.krieger.jhu.edu\/arqc-smart\/files\/2025\/06\/HPC_QPU.jpg\")
<\/figure>\n<\/div>\n\n\n\nEfficient Classical Simulation<\/h2>\n\n\n\n
Classical computing systems are important tools for validating and testing error characterization protocols and synthesizing tailored error management protocols. Current approaches for simulating noisy quantum systems, however, suffer significant scalability issues because the computation costs scale exponentially in the number of qubits. SMART leverages advanced numerical methods and novel simulation techniques to realize large-scale noisy quantum system simulation.<\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"
Scalable error characterization and management protocols are crucial to realizing error resilience in existing and future quantum computing systems. A feature of SMART is the identification and assessment of guiding principles that enable scalability. Scalable Error Characterization While there is a litany of relevant approaches for error characterization already in existence, there is generally a […]<\/p>\n","protected":false},"author":627,"featured_media":0,"parent":8,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-48","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sites.krieger.jhu.edu\/arqc-smart\/wp-json\/wp\/v2\/pages\/48","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.krieger.jhu.edu\/arqc-smart\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.krieger.jhu.edu\/arqc-smart\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.krieger.jhu.edu\/arqc-smart\/wp-json\/wp\/v2\/users\/627"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.krieger.jhu.edu\/arqc-smart\/wp-json\/wp\/v2\/comments?post=48"}],"version-history":[{"count":5,"href":"https:\/\/sites.krieger.jhu.edu\/arqc-smart\/wp-json\/wp\/v2\/pages\/48\/revisions"}],"predecessor-version":[{"id":163,"href":"https:\/\/sites.krieger.jhu.edu\/arqc-smart\/wp-json\/wp\/v2\/pages\/48\/revisions\/163"}],"up":[{"embeddable":true,"href":"https:\/\/sites.krieger.jhu.edu\/arqc-smart\/wp-json\/wp\/v2\/pages\/8"}],"wp:attachment":[{"href":"https:\/\/sites.krieger.jhu.edu\/arqc-smart\/wp-json\/wp\/v2\/media?parent=48"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}