2021-11-17 11:00:00 | America/New_York

Kevin C. Chen MIT

Scalable and High-Fidelity Quantum Random Access Memory in Spin-Photon Networks

A quantum random access memory (qRAM) is considered an essential computing unit to enable polynomial speedups in quantum information processing. Proposed implementations include the use of neutral atoms and superconducting circuits to construct a binary tree but these systems still require demonstrations of the elementary components. Here, we propose a photonic-integrated-circuit (PIC) architecture integrated with solid-state memories as a viable platform for constructing a qRAM. We also present an alternative scheme based on quantum teleportation and extend it to the context of quantum networks. Both implementations realize the two key qRAM operations, (1) quantum state transfer and (2) quantum routing, with already demonstrated components: electro-optic modulators, a Mach-Zehnder interferometer (MZI) network, and nanocavities coupled to artificial atoms for spin-based memory writing and retrieval. Our approaches furthermore benefit from built-in error detection based on photon heralding. Detailed theoretical analysis of the qRAM efficiency and query fidelity shows that our proposal presents viable near-term designs for a general qRAM.

Speaker's Bio

Kevin graduated with a B.S. degree in Applied Physics from Caltech in 2017. He began his undergraduate research with Professor Harry Atwater, working on designing spectrum-splitting photovoltaic modules. In 2016, he received the Henry Ford II Scholarship award. For his senior thesis project, he transitioned to the field of AMO physics and worked with Professor Manuel Endres on constructing 2D array of optical tweezers for trapping neutral strontium atoms. With experiences in nanofabrication and AMO, Kevin joined the Quantum Photonics Lab to work on scalable photonic systems with diamond color centers. His graduate work has been funded by the NSF Graduate Research Fellowship Program and MITRE Corp.