Description
I will start with a general introduction on quantum simulation and computation with near term processors, the state of the art and the current race for building operational quantum processors. I will then review our work with Google on quantum simulations with superconducting qubits[1]. If time, I will briefly summarize recent works in the area of analog quantum supremacy and quantum phase transitions[2], quantum machine learning[3] and qubit efficient quadratic optimization algorithms on near term quantum processors [4]. The first part of the talk should be accessible to non-specialists
[1]Spectral signatures of many-body localization with interacting photons
P. Roushan, C. Neill, ...D.G. Angelakis, and J. Martinis. Science, 01 Dec 2017: Vol. 358, Issue 6367, (2017)
[2] Quantum supremacy and quantum phase transitions
J. Tangpanitanon, S. Thanasilp, M. A. Lemonde, N. Dangiam, D. G. Angelakis
Phys. Rev. B 103, 165132 (2021)
J. Tangpanitanon, S. Thanasilp, M. A. Lemonde, N. Dangiam, D. G. Angelakis
Phys. Rev. B 103, 165132 (2021)
[3] Expressibility and trainability of parameterized analog quantum systems for machine learning applications
J. Tangpanitanon, S. Thanasilp, M. A. Lemonde, N. Dangiam, D. G. Angelakis
Phys. Rev. Research 2, 043364
J. Tangpanitanon, S. Thanasilp, M. A. Lemonde, N. Dangiam, D. G. Angelakis
Phys. Rev. Research 2, 043364
[4] Qubit efficient algorithms for binary optimization problems
B. Tan, M. A. Lemonde, S. Thanasilp, J. Tangpanitanon, D. G. Angelakis
Videoconference via https://us02web.zoom.us/j/84220994966