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

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 [1]. 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 [1]. 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 [4]. 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].

[1] P. Czarnik, A. Arrasmith, P. Coles, L. Cincio, Quantum 5, 592 (2021)
[2] A. Lowe et al.,  Phys. Rev. Research 3, 033098 (2021)
[3] D. Bultrini et al. arXiv:2107.13470
[4] P. Czarnik et al., in prep.
[5] 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.

  • 2 months, 1 week ago