Institute of Computer Science AGH and IBM Software Laboratory in Krakow invite to Krakow Quantum Informatics Seminar (KQIS)
• understand and discuss current problems in quantum informatics,
• discuss new quantum computing technologies,
• exchange ideas and research results,
• integrate information across different research teams,
• build a community around quantum informatics.
Venue: via Internet, Webex https://ibm.webex.com/meet/tomasz.stopa
Program: Tuesday, 22th March 2022, 9:35-11:00
Piotr Czarnik, Institute of Theoretical Physics, Jagiellonian University, Krakow, PL
Topic: Learning-based error mitigation for near-term quantum computers
We introduce a novel approach to error mitigation for near-term quantum computers . The approach is based on learning noise effects on expectation values of observables from classically simulable near-Clifford circuits similar to a circuit of interest . We generalize the approach unifying it with other state-of-the-art approaches [2,3]. Furthermore, we improve its performance imposing symmetry constraints of the simulated system . We provide its proof of principle obtaining orders of magnitude improvements of results for simulations of quantum-many body systems with IBM quantum computers [1, 4, 5].
 P. Czarnik, A. Arrasmith, P. Coles, L. Cincio, Quantum 5, 592 (2021)
 A. Lowe et al., Phys. Rev. Research 3, 033098 (2021)
 D. Bultrini et al. arXiv:2107.13470
 P. Czarnik et al., in prep.
 Y. Zhang et al., arXiv:2106.07619
Bio: Piotr Czarnik got PhD from theoretical physics at Jagiellonian University in Krakow. He started to work on near-term quantum computation as a Director's Post-Doctoral Fellow at Los Alamos National Laboratory. He continues that line of research as an assistant professor at Jagiellonian University.