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Quantum Simulation and Quantum Computation with Superconducting Circuits

Feb

03

Wednesday
3:30pm - 4:30pm ET

Videoconference

ZOOM LINK
Meeting ID: 918 3207 1040
Passcode: 013218

In recent years superconducting circuits have emerged as a promising platform for quantum computation and quantum simulation. One of the driving forces behind this progress is the ability to fabricate relatively low-disorder, low-loss circuits with a high-degree of control over many of the circuit parameters, both in fabrication and in-situ. The field, broadly called circuit quantum electrodynamics (cQED), has become one of the cleanest and most flexible platforms for studying strong interactions between light and matter, in addition to allowing the necessary operations for quantum computation.

In this talk, I will describe my PhD work exploring large-scale, superconducting circuit lattices to investigate nonequilibrium quantum simulation. First, I will describe my experimental work on a 72-site one-dimensional array of coplanar waveguide cavities and transmon qubits where we observed a novel dissipative phase transition. Next, I will describe our work on a hyperbolic array of coplanar waveguide cavities that exhibited a gapped flatband model which has important consequences for many-body physics. Afterward, I will describe our mathematical understanding of the origin of flatbands in these systems and how to exploit ideas from graph theory to maximize the gaps between these flat bands and the rest of the spectrum. Finally, I will broadly describe some of the current limitations of superconducting devices before concluding with future plans to further improve the capabilities and performance of near-term quantum processors made from superconducting circuits.

About the Speaker(s)

Mattias Fitzpatrick
Research Staff, IBM Quantum

Mattias Fitzpatrick is currently a research staff member at IBM Quantum working on superconducting quantum computers. He completed his PhD in electrical engineering at Princeton University in May, 2019. During his PhD, in Andrew Houck's lab, he built lattices of superconducting circuits to study dissipative phase transitions and other nonlinear and quantum phenomena. In addition, he developed a novel approach to study effective hyperbolic and other curved lattices with superconducting lattices.

He is the recipient of numerous teaching awards including Princeton’s prestigious “Distinguished Teaching Award.” He is also the recipient of the 2019 “Bede Liu Best Dissertation Award” which is given for the best dissertation from the department's graduating PhD class. Following his PhD, Mattias was an Intelligence Community Postdoctoral Fellow and worked in the lab of Nathalie de Leon at Princeton. In this position he worked with nitrogen vacancy (NV) centers in diamonds to develop novel sensing of real-time temporal and spatial correlations in magnetic field signals. Furthermore, in a collaboration between Nathalie de Leon and Andrew Houck, Mattias helped develop a new tantalum-based materials platform for superconducting circuits which resulted in world-record coherence times for transmon qubits.

In his current role at IBM, Mattias develops new techniques to improve the performance and capabilities of near-term superconducting quantum computers.

Contact

For more information, contact Ashley Parker at ashley.l.parker@dartmouth.edu.