Yadav Prasad Kandel, Ph.D
Yadav Prasad Kandel, Ph.DQuantum Research Scientist, IBM, US
Quantum Info and Data Science

Message from Division Chair

Data science and Quantum Information Science division focuses on sharing knowledge, state-of-the-art tools, techniques, research, and emerging industry trends with machine learning applications. Machine learning tools are becoming prevalent with a growing impact across industries. Reflecting the increased relevance, this division aims to create a forum to exchange experiences and discussions on research topics and inspire collaborations, bringing people together from academia to industries.

Conference Timeline

Feb 15th: Abstract Submission Opens
Please plan to submit the abstract(s).
April 30th (US EST): Abstract Submission Deadline
Abstract Submission Closes.
May 15th: Abstract Acceptance Notice
ANPA will notify you of the acceptance or rejection of your abstract via email by this date.
June 15: Registration Deadlines
Please register the conference
July 24th: Conference Begins
Conference officially begins.
July 26th: Conference Concludes.

Invited Speaker

Bibek Bhandari, PhD
Bibek Bhandari, PhDResearch Associate, Institute for Quantum Studies, Chapman University
Quantum Information

Decoherence in Driven Quantum Systems

Recent spectroscopic measurements on periodically driven superconducting qubits have revealed transition energies consistent with Floquet quasienergies, validating the Floquet framework for engineered quantum systems. Understanding how the effective quasienergies and associated quasi-periodic Floquet states respond to external fluctuations and environmental couplings is crucial for achieving precise control and robust operation of Floquet qubits. In this work, we leverage Floquet master equations and Floquet geometric theory to develop a theoretical framework that connects the driven frame quasienergy response to dephasing and relaxation processes. We employ complementary decompositions of the lab-frame Hamiltonian, one emphasizing the period-averaged dynamics and one emphasizing the sub-period micromotion, to characterize how the effective spectrum of the driven quantum system evolves under fluctuating drive parameters. Building on this foundation, we analyze the dephasing and relaxation dynamics, exploring the emergence of the dynamical protection under single- and multi-tone driving in superconducting quantum circuits. Our results establish experimentally accessible signatures for coherence optimization and control of driven superconducting quantum circuits in an open quantum system setting.