Scalable entanglement distribution using quantum repeater chains with error correction

PQI Collaborative Seminar / DINS Seminar talk by Prof. Filip Rozpedek of UMass Amherst. Title: Scalable entanglement distribution using quantum repeater chains with error correction Abstract: In this talk I will provide an overview of our recent efforts in designing resource-efficient quantum repeater architectures with error correction. In the first part of the talk, I will focus on memory-based architectures, where we argue that repeater chains with error-correction capabilities should exploit more than one physical platform, combining the complementary strengths of different quantum memory technologies into a single hybrid repeater architecture. An important constituent of such an architecture is a hybrid repeater which combines type-1 memories, characterized by fast entanglement generation rates and suitability for multiplexing, and type-2 memories that offer long coherence times and low two-qubit gate error rates. We demonstrate that these hybrid architectures outperform pure architectures based on a single memory platform in terms of end-to-end entanglement distribution rate. In our study we develop a full circuit-level noise model of our architectures and examine the impact of an imperfect interface between the two platforms on our hybrid architecture. In the second part of the talk, I will focus on all-photonic repeater architectures and describe our scheme on generalizing previous work regarding repeater graph states with elaborate connectivity, enabling the efficient establishment of exploitable ebits at a finite rate with high probability. I will also describe how minimizing the number of edges in a graph state under local Clifford operations enables significant reduction in the number of photonic resources required for construction of the generalized repeater graph states. Bio: Filip Rozpedek is an Assistant Professor at the Manning College of Information and Computer Sciences at UMass Amherst and a member of the NSF Center for Quantum Networks. His r