The scalability of quantum processors is limited by current error rates for single-qubit gates. By encoding more than a single bit of information within a single ion, multi-level “qudits” offer a promising method of increasing the information density within a quantum processor, and therefore minimizing the number of gates and associated error rates. In this project we seek to improve the capabilities of trapped ion quantum processors, implementing all of the basic tools required to perform quantum information processing with multi-level qudits. To-date there have been few experimental efforts directed towards this area and many of the basic operations – such as reliably distinguishing among all possible basis states in a single-shot measurement or performing deterministic entangling gates – have not yet been demonstrated. In this project, we will design and construct a laser system that will be used to perform coherent operations, and to implement and characterize high-fidelity single-qudit gates. These will form some of the world’s first laboratory demonstrations of quantum computing with multi-level qudits. Because our approach will allow more information to be encoded with fewer qudits, and folds some of the complexity of a given algorithm into the non-entangling operations, there is reason to believe that the use of multi-level qudits could bring dramatic improvements to the scalability of quantum processors.
Mesoscopic systems as coherent control elements
Summary Mesoscopic systems provide a new tool for quantum systems design. In particular, they are enabling of robust quantum control. Here “mesoscopic system” refers to a connected network where each element, if studied alone, would be a quantum bit. The network is too big to be treated fully quantum mechanically. We do not have individual […]
September 1, 2016
Fabrication of Ultra Low Noise RF SQUID Amplifiers
A superconducting quantum interference device (SQUID) is an extremely sensitive magnetic field detector.
June 1, 2017
Inverse Photoemission Spectroscopy of Quantum Materials
Summary Quantum materials that exhibit strong electron correlations lead to phenomena, such as superconductivity and topologically protected states, that are important for quantum computation, sensing, and other applications. For example, we may utilize symmetry protected topological states to make qubits that are robust against decoherence, while advances in high temperature superconductors may significantly reduce […]
September 20, 2018
Repurposing potential drug candidates for the treatment of COVID-19
Summary The main protease (Mpro) in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus responsible for the coronavirus disease (COVID-19), has emerged as a promising drug target. The scientific community has produced a large number of crystallographic structures of the protease, which mediates viral replication and transcription. These structures report several fragments with varied chemotypes […]
May 6, 2020