Mitigating scheduling of medical staff in a covid-19 clinic by quantum annealing

Abstract: Quantum annealing (QA) is a heuristic that implements adiabatic quantum computing instructions to solve combinatorial optimization problems. In this talk, we will discuss the results of our work on formatting a medical-staff scheduling problem, particular to clinics dedicated to covid-19 cases, to run on the quantum annealing processor available from D-wave Systems.

Moderator Bio:
Dr. Faisal Khan:
Dr Khan is a mathematician working in the area of quantum information geometry to develop robust methods for mitigating noise in all aspects of quantum computer architectures. He is an Associate Editor of the SpringerNature journal Quantum Information Processing, and serves as a Technology Advisor to Quantum Computing Inc. and Dark Start Quantum Labs.

Speakers Bio:
Dr. Kunal Das:
Dr. Kunal Das has received the B. Tech (Information Technology) and M. Tech (InformationTechnology) from Calcutta University, Kolkata, India. He was awarded the Ph.D degree from University of Kalyani. He is former Assistant Professor of the Department of Computer Science & Engineering, National Institute of Technology, Arunachal Pradesh, India and Associate Professor, Department of Computer Science & Eengineering, Narual Institute of Technology,
Kolkata. Currently, He is working as Assistant Professor, Department of Computer Science, Acharya Prafulla Chandra College (Govt. of West Bengal), New Barrackpore, West Bengal, India. He has authored several Int. SCI journals papers and several conference papers and reviewer of many SCI journals like Elsevier Microelectronics journal, Springer
JETTA, IEEE Trans. and many international conferences. He is Associate Editorial Board Members of Current Chinese Computer Science journal. His research interest includes Nano devices like Quantum dot Cellular Automata, VLSI design, Digital Microfludic BioChip. Currently, his research focus is on Quantum Computing, solving optimization problem using adiabatic Quantum Computer.

Asmita Banerjee:
Asmita Banerjee completed her B.Tech in computer science and engineering. Started off journey in quantum computing with Dr. Kunal
Das in her undergraduate years. Has worked on graph coloring quantum algorithms and finding OTOC in Rydberg atom system in Indian Institute of Science, Education and Research-Kolkata(IISER-K) under Prof. P.K Panigrahi. Has worked on Nurse scheduling problem using quantum annealing with Dr. Kunal Das and Dr.Faisal Shah Khan group. Currently interning under Prof.Madhur Srivastava at the department of chemistry and chemical biology, Cornell University, USA. Is also involved in a project on chirality of quantum states with Prof.Jędrzej Kaniewski at the department of Physics, University of Warsaw.

Arindam Sadhu:
ARINDAM SADHU received his B-TECH in Electronics and
communication Engineering from WBUT, India in the year of
2009. He received M.tech in VLSI design from WBUT, West
Bengal, India. He has worked as Research Fellow (RF) under
DST-SERB, Govt. of India research project. Currently he is
working towards his PhD work on quantum technology. He is
also visiting faculty member in Narula Institute of Technology,
Kolkata, India. He has authored several Int. journals papers and
several conference papers and reviewer of many international
conferences. His research interest includes Quantum dot Cellular
Automata, Quantum Computing, Quantum Cryptography,
Analog and Digital VLSI circuit design. He has worked on
Nurse-Physician scheduling problem and Hybrid-Quantum
approach for optimal lockdown using quantum annealing under
the supervision of Dr. Kunal Das, Dr. Faisal Shah Khan, Dr. Alex
Khan.