You are cordially invited to attend the following thesis defense. ’’Hardware-Efficient Quantum Computation and Error Correction’’ Presented by Murphy Yuezhen Niu Date: Wednesday, December 19, 2018 Time: 2:00 pm Location: Haus Room (36-428) Committee: Jeffrey H Shapiro, Isaac Chuang, Seth Lloyd, Vladan Vuletic Abstract: Quantum computing has the potential to eclipse its classical competitors, but only if the number of qubits can be scaled up. Large-scale quantum systems are impeded by the formidable hardware resources needed to combat growing amounts of errors from hardware imperfections. Previous efforts have mainly focused on either optimizing quantum hardware or finding new quantum algorithms. This thesis explores synergies between the system-specific hardware physics and algorithm design that together yield more than the sum of their parts in the quest for scalable quantum computation. We present an algorithm for generating nonclassical states of light, using full-quantum