13 citations · 17 across the 3 of their papers we have counts for
7 papers
Error mitigated quantum circuit cutting
Ritajit Majumdar, Christopher J. Wood
We investigate an error mitigated tomographic approach to the quantum circuit cutting problem in the presence of gate and measurement noise. We explore two tomography specific erro…
Measurement Error Mitigation for Variational Quantum Algorithms
George S. Barron, Christopher J. Wood
Variational Quantum Algorithms (VQAs) are a promising application for near-term quantum processors, however the quality of their results is greatly limited by noise. For this reaso…
Experimental implementation of non-Clifford interleaved randomized benchmarking with a controlled-S gate
Shelly Garion, Naoki Kanazawa, Haggai Landa +4
Hardware efficient transpilation of quantum circuits to a quantum devices native gateset is essential for the execution of quantum algorithms on noisy quantum computers. Typical qu…
Quantum process tomography with unsupervised learning and tensor networks
Giacomo Torlai, Christopher J. Wood, Atithi Acharya +3
The impressive pace of advance of quantum technology calls for robust and scalable techniques for the characterization and validation of quantum hardware. Quantum process tomograph…
Qiskit Pulse: Programming Quantum Computers Through the Cloud with Pulses
Thomas Alexander, Naoki Kanazawa, Daniel J. Egger +4
The quantum circuit model is an abstraction that hides the underlying physical implementation of gates and measurements on a quantum computer. For precise control of real quantum h…
Correlated Randomized Benchmarking
David C. McKay, Andrew W. Cross, Christopher J. Wood +1
To improve the performance of multi-qubit algorithms on quantum devices it is critical to have methods for characterizing non-local quantum errors such as crosstalk. To address thi…