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SUMMARY:IC Colloquium: Intelligent Cross-Stack Co-Design of Quantum Comput
 er Systems
DTSTART:20240205T140000
DTEND:20240205T150000
DTSTAMP:20260407T111150Z
UID:8a04f27f96cbc226eb5d6c984be85bcaaf769e64a54a9c491b984cbe
CATEGORIES:Conferences - Seminars
DESCRIPTION:By: Hanrui Wang - MIT\nIC Faculty candidate\n\nAbstract\nQuant
 um Computing has the potential to solve classically intractable problems w
 ith greater speed and efficiency\, and recent several years have witnessed
  exciting advancements in this domain. However\, there remains a substanti
 al gap between the algorithmic requirements and the available device in te
 rms of qubit number and system reliability. To close this gap\, it is crit
 ical to perform the cross-stack co-design of various technology layers\, f
 rom algorithm and program design\, to compilation\, and hardware architect
 ure.\n\nIn this talk\, I will provide an overview of my contributions in t
 he software stack and hardware support for quantum systems. At the algorit
 hm and program level\, I will introduce QuantumNAS\, a framework for quant
 um program structure (ansatz) design for variational quantum algorithms. Q
 uantumNAS utilizes the noisy feedback from quantum devices to search for a
 nsatz and qubit mapping tailored for specific hardware\, leading to notabl
 e resource reduction and reliability enhancements. Then\, at the compiler 
 level\, I will discuss a compilation framework for the Field-Programmable 
 Qubit Array (FPQA) implemented by the emerging reconfigurable atom arrays.
  This framework leverages movable atoms for routing 2Q gates\, and generat
 es atom movements and gate scheduling with high scalability and parallelis
 m. On the hardware support front\, I will present SpAtten\, an algorithm-a
 rchitecture-circuit co-design aimed at Transformer-based quantum error cor
 rection decoding. SpAtten supports on-the-flying syndrome pruning to elimi
 nate less critical inputs and boost efficiency. Finally\, I will conclude 
 with an overview of my ongoing work and my research vision towards buildin
 g software and architecture supports for quantum computing\, and domain-sp
 ecific computing for practical quantum advantages.\n\nBio\nHanrui Wang is 
 a Ph.D. Candidate at MIT EECS advised by Prof. Song Han. His research focu
 ses on software stack and hardware support for quantum computer systems\, 
 and AI for quantum. His work appears in conferences such as MICRO\, HPCA\,
  QCE\, DAC\, ICCAD\, and NeurIPS and has been recognized by QCE 2023 Best 
 Paper Award\, ICML RL4RL 2019 Best Paper Award\, ACM student research comp
 etition 1st Place Award\, Best Poster Award at NSF AI Institute\, Best Dem
 o Award at DAC university demo\, MLCommons rising star in machine learning
  and systems\, and ISSCC 2024 rising star. His work is supported by Qualco
 mm Innovation Fellowship\, Baidu Fellowship\, and Unitary Fund. He is the 
 creator of TorchQuantum library which has been adopted by IBM Qiskit Ecosy
 stem and PyTorch Ecosystem with 1.1K+ stars on GitHub. He is passionate ab
 out teaching and has served as a course developer and co-instructor for a 
 new course on efficient ML and quantum computing at MIT. He is also the co
 -founder of QuCS “Quantum Computer Systems” forum for quantum educatio
 n.\n\nMore information
LOCATION:https://epfl.zoom.us/j/67255350808
STATUS:CONFIRMED
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