1. Modular Universal Scalable Ion-trap Quantum Computer MUSIQC Multi-institution collaboration to develop a scalable quantum computer based on ion trap arrays connected by photons. The Brown lab is performing experiments on ion trap arrays and developing a simulator for the complete system. Project funded by IARPA MQCO program through ARO grant W911NF-10-1-0231. Collaborators: Kim (Duke), Monroe (U. Maryland), Duan (U. Michigan), Raussendorf (U. British Columbia), Blinov and Bacon (U. Washington), QIS at GTRI, Sandia, and MagiQ

2. Cold Molecular Ions Laser cooled atomic ions can be used to cool molecular ions to temperatures less than 1 millikelvin. The Brown lab is studying the spectroscopy and reaction dynamics of molecules at these low temperatures. This work is funded by Georgia Tech and the Blanchard Fellowship. Collaborators: Odom (Northwestern), Sherrill (Georgia Tech)

3. Computing with Thermal Classical Spins The challenge of computing with quantum spins (qubits) in a thermal environment can be simplified to the challenge of computing with classical spins in a thermal environment. The Brown lab is studying fault-tolerant computation and memory in this environment. This work is funded by Georgia Tech and the Blanchard Fellowship. Collaborator: Bacon (Washington) INSERT STRUCTURE PICTURE

4. Quantum Information for Quantum Chemistry As part of a Chemical Center for Innovation, the Brown lab is using the tools from quantum information to build new experiments and algorithms for physical chemistry. The CCI is funded by the National Science Foundation. Collaborators: Kais (Purdue), Aspuru-Guzik (Harvard), Love (Haverford), and Lidar (U. Southern California) 000001111000011100 101010100101000100 010001000100001000 010000100100010001

5. Optimal Resources and Architectures for Quantum aLgorithms The Brown lab is leading a multi- institution collaboration to develop a suite of software tools for estimating and optimizing the resource cost of performing a quantum algorithm on a real physical system. Project funded by the IARPA QCS program through ARO contract xxxxx. Collaborators: DiVincenzo (IBM), Chong (UC Santa Barbara), Kubiatowicz (UC Berkeley), Viola (Dartmouth),Raussendorf (U. British Columbia), Bacon (U. Washington), QIS at GTRI