Characterizing and Suppressing Noise in Superconducting Qubits and Qudits

Event Date:
2026-03-05T11:15:00
2026-03-05T12:15:00
Event Location:
HENN 318
Speaker:
Daniel Amihud Lidar, University of Southern California
URL:
Zoom link
Related Upcoming Events:
Other Talks
Intended Audience:
Everyone
Local Contact:

All are welcome to this event!

Zoom: https://ubc.zoom.us/j/65949193632?pwd=NPQUmT7epBpiw8tszNNgIzGlturKTN.1 

  • Meeting ID:      659 4919 3632

  • Passcode:        621026

Event Information:

Abstract:

Superconducting transmon qubits are key to recent quantum computing advances. In this talk I will present our recent work on characterizing the noise afflicting transmon qubits beyond standard stochastic error models. I will then discuss quantum control methods to suppress this noise, aiming to improve gate fidelities and overall performance.

Bio:

Daniel Lidar is the holder of the Viterbi Professorship of Engineering at the University of Southern California and researches quantum information processing. He holds joint appointments in the departments of Electrical & Computer Engineering, Chemistry, and Physics & Astronomy. He is the scientific director of the USC Center for Quantum Computing (which possesses a d-wave computer) co-founder and director of the USC Center for Quantum Information Science & Technology, and the director of the USC-IBM Quantum Innovation Center. He did his postdoctoral work at UC Berkeley after receiving his Ph.D. in Physics from the Hebrew University of Jerusalem in 1997. Prior to joining USC in 2005, he was a faculty member at the University of Toronto for five years.

Daniel Lidar is, amongst other things, very well known for his work in quantum computation, notably his work on decoherence and error correction. He has pioneered the study and use of adiabatic quantum computation, and the related phenomenon of quantum annealing. Some of this work has analyzed the performance of the "d-wave" adiabatic quantum computer, which so far has been the only quantum computer available on the market, and is therefore a benchmark for the entire field of quantum computing.

His research focuses on quantum information processing, with a particular emphasis on quantum computation and quantum computers. He works primarily on quantum error correction, open quantum systems, quantum algorithms, quantum machine learning, quantum control, superconducting qubits, quantum phase transitions, adiabatic quantum computation, and quantum annealing.

References:
V. Tripathi H. Chen E. Levenson-Falk, PRX Quantum 5 010320 (2024)
V. Tripathi D. Kowsari K. Saurav H. Zhang E.M. Levenson-Falk, D. Lidar,  Chem. Rev. 125 5745 (2025)
V. Tripathi N. Goss A. Vezvaee L.B. Nguyen I. Siddiqi,D. Lidar,  PRL 134 050601 (2025) 

 

Learn More:

Add to Calendar 2026-03-05T11:15:00 2026-03-05T12:15:00 Characterizing and Suppressing Noise in Superconducting Qubits and Qudits Event Information: Abstract: Superconducting transmon qubits are key to recent quantum computing advances. In this talk I will present our recent work on characterizing the noise afflicting transmon qubits beyond standard stochastic error models. I will then discuss quantum control methods to suppress this noise, aiming to improve gate fidelities and overall performance. Bio: Daniel Lidar is the holder of the Viterbi Professorship of Engineering at the University of Southern California and researches quantum information processing. He holds joint appointments in the departments of Electrical & Computer Engineering, Chemistry, and Physics & Astronomy. He is the scientific director of the USC Center for Quantum Computing (which possesses a d-wave computer) co-founder and director of the USC Center for Quantum Information Science & Technology, and the director of the USC-IBM Quantum Innovation Center. He did his postdoctoral work at UC Berkeley after receiving his Ph.D. in Physics from the Hebrew University of Jerusalem in 1997. Prior to joining USC in 2005, he was a faculty member at the University of Toronto for five years. Daniel Lidar is, amongst other things, very well known for his work in quantum computation, notably his work on decoherence and error correction. He has pioneered the study and use of adiabatic quantum computation, and the related phenomenon of quantum annealing. Some of this work has analyzed the performance of the "d-wave" adiabatic quantum computer, which so far has been the only quantum computer available on the market, and is therefore a benchmark for the entire field of quantum computing. His research focuses on quantum information processing, with a particular emphasis on quantum computation and quantum computers. He works primarily on quantum error correction, open quantum systems, quantum algorithms, quantum machine learning, quantum control, superconducting qubits, quantum phase transitions, adiabatic quantum computation, and quantum annealing. References:V. Tripathi H. Chen E. Levenson-Falk, PRX Quantum 5 010320 (2024)V. Tripathi D. Kowsari K. Saurav H. Zhang E.M. Levenson-Falk, D. Lidar,  Chem. Rev. 125 5745 (2025)V. Tripathi N. Goss A. Vezvaee L.B. Nguyen I. Siddiqi,D. Lidar,  PRL 134 050601 (2025)    Learn More: See his faculty page from the University of Southern California Read this article from The Conversation profiling Daniel Lidar and his works  Watch his talks on Youtube:  "Scaling Advantage in Approximate Optimization with Quantum Annealing"   "Demonstration of Algorithmic Quantum Speedup"   "Quantum Information Processing: Are We There Yet?"  View his page on Wikipedia Listen to The New Quantum Era podcast, "Quantum noise with Daniel Lidar"  Read his paper: "Concatenating Decoherence Free Subspaces with Quantum Error Correcting Codes"   Event Location: HENN 318