Classical game theory – conducted at the interface between economics and computer science – has found applications in topics ranging from networking and security to online markets. Despite over 20 years of research into connections between game theory and quantum information, we have yet to see any significant implications of quantum information when applied to game theory. This project brings a reformulation of quantum game theory as a mathematical theory of strategic interactions involving quantum information among rational decision-making agents. We focus on computational complexity aspects as a means to redevelop quantum game theory and tackle four challenge areas that include non-interactive games, interactive games, correlated (and entangled) equilibria, and cooperative quantum strategies. This reformulation of quantum game theory holds promise for enabling new mathematical techniques in quantum information science (e.g., communication protocols) and new applications of quantum devices. Finally, as we consider the fundamental aspects of quantum games, we are bound to discover interesting new mathematical structures that may find uses in other areas of quantum information science.
Fabrication of Ultra Low Noise RF SQUID Amplifiers
A superconducting quantum interference device (SQUID) is an extremely sensitive magnetic field detector.
June 1, 2017
Free-space Polarization-selective Microcavity based on Chiral Metasurfaces
Summary Developing a new type of Fabry-Pérot cavity that allows improved control of the atoms’ emission into the cavity mode will result in enhancement of the efficiency and fidelity of quantum state transfer from photons to atoms and back. This in turn can be used to improve the performance of quantum networks and repeaters, as […]
September 19, 2019
Spin-transfer Torque Magnetic Random Access Memory for On-chip Spin Information Storage
Summary Leakage power in semiconductor memories, such as Dynamic Random Access Memory (DRAM) and Static Random Access Memory (SRAM), can be substantial and is one of the limits for scalability of classical electronics. This is attributed to the fact that the information stored is volatile, requiring constant refreshing, as well as reprogramming upon powering […]
August 6, 2018
Silicon Platform for Electron Spin Qubits
Summary Scaling solid-state quantum processors to a useful threshold while maintaining the requisite precision in quantum control remains a challenge. We propose a quantum metal-oxide-semiconductor (QMOS) architecture operating at cryogenic temperatures that is based on a network/node approach as a means to scalability. By working with QMOS, we benefit from the deep investments and […]
December 7, 2018