BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Quantum Pangenomics - Sergii Strelchuk (University of Cambridge)
DTSTART:20241112T143500Z
DTEND:20241112T151000Z
UID:TALK220021@talks.cam.ac.uk
DESCRIPTION:Genomics is a transformational technology for biology\, drivin
 g a massive improvement in our understanding of human biology and disease.
  Pangenomics is an important next step on this journey\, as understanding 
 variation across many genomes is key to unravelling how genetic traits can
  affect health outcomes. Building and analysing a pangenome is computation
 ally intensive. Many essential tasks in genomic analysis are extremely dif
 ficult for classical computers due to problems inherently hard to solve ef
 ficiently with classical (empirical) algorithms. Quantum computing offers 
 novel possibilities with algorithmic techniques capable of achieving speed
 ups over existing classical exact algorithms in large-scale genomic analys
 es.\n&nbsp\;\nFunded by the Wellcome Leap Q4Bio program (https://wellcomel
 eap.org/q4bio/)\, we pursue two main research thrusts.1. Algorithm Develop
 ment: We will design novel quantum algorithms for multiple sequence alignm
 ent subproblems and investigate heuristic methods (QAOA) for de novo assem
 bly. 2. Data Encoding and State Preparation: We aim to develop efficient q
 uantum circuits to encode genomic data and reduce the computational overhe
 ad with a variety of techniques\, including tensor network representations
 . It facilitates data encoding into quantum states for a variety of machin
 e-learning applications.
LOCATION:Seminar Room 1\, Newton Institute
END:VEVENT
END:VCALENDAR