The overall goal of the project is to develop practical methods to be able to reliably run useful applications on near-term quantum computers. This requires identifying and overcoming the ubiquitous errors that currently limit quantum computing capabilities. Traditional methods of quantifying errors in quantum computers fail to predict how errors affect the output of a quantum computation because the exact impact depends upon the exact form of the noise, additional errors arising from interactions between control mechanisms (e.g., crosstalk) and idle qubits, and how the gates are translated and scheduled into temporal pulses. One promising way to account for global errors is to define a parallel quantum instruction (PQI) to be a set of quantum operations executed in a fixed temporal order, including all idle gates for qubits that are not explicitly targeted by any quantum operation. In this project we develop a general method for reconstructing global noise during a cycle of parallel quantum gates and a framework for mitigating and/or extrapolating errors, leading to an experimental demonstration of their effectiveness. This will enable near-term quantum computers to be used to accurately simulate quantum systems and to determine the accuracy of the simulations.
Spin-transfer Torque Magnetic Random Access Memory for On-chip Spin Information Storage
Summary Leakage power in semiconductor memories, such as Dynamic Random Access Memory (DRAM) and Static Random Access Memory (SRAM), can be substantial and is one of the limits for scalability of classical electronics. This is attributed to the fact that the information stored is volatile, requiring constant refreshing, as well as reprogramming upon powering […]
August 6, 2018
QuantumIon: an open-access quantum computing platform
Summary Trapped ions are one of the most advanced technologies for quantum computing, offering multi-qubit control in a universal quantum computing architecture and the ability to perform calculations with unprecedented precision. In this project we construct a shared trapped-ion quantum computing platform, QuantumIon, that will enable a broader and interdisciplinary scientific community to access an […]
September 9, 2019
Fabrication of Ultra Low Noise RF SQUID Amplifiers
A superconducting quantum interference device (SQUID) is an extremely sensitive magnetic field detector.
June 1, 2017
Silicon Platform for Electron Spin Qubits
Summary Scaling solid-state quantum processors to a useful threshold while maintaining the requisite precision in quantum control remains a challenge. We propose a quantum metal-oxide-semiconductor (QMOS) architecture operating at cryogenic temperatures that is based on a network/node approach as a means to scalability. By working with QMOS, we benefit from the deep investments and […]
December 7, 2018