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quant-ph2021

Hardware-efficient random circuits to classify noise in a multi-qubit system

Jin-Sung Kim, Lev S. Bishop, Antonio D. Corcoles +3

In this work we extend a multi-qubit benchmarking technique known as the Binned Output Generation (BOG) in order to discriminate between coherent and incoherent noise sources in th…

quant-ph2020

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…

quant-ph2020

Mitigating measurement errors in multi-qubit experiments

Sergey Bravyi, Sarah Sheldon, Abhinav Kandala +2

Reducing measurement errors in multi-qubit quantum devices is critical for performing any quantum algorithm. Here we show how to mitigate measurement errors by a classical post-pro…

quant-ph2019

Quantum equation of motion for computing molecular excitation energies on a noisy quantum processor

Pauline J Ollitrault, Abhinav Kandala, Chun-Fu Chen +7

The computation of molecular excitation energies is essential for predicting photo-induced reactions of chemical and technological interest. While the classical computing resources…

quant-ph2019

Verifying Multipartite Entangled GHZ States via Multiple Quantum Coherences

Ken X. Wei, Isaac Lauer, Srikanth Srinivasan +6

The ability to generate and verify multipartite entanglement is an important benchmark for near-term quantum devices devices. We develop a scalable entanglement metric based on mul…

quant-ph2018

Validating quantum computers using randomized model circuits

Andrew W. Cross, Lev S. Bishop, Sarah Sheldon +2

We introduce a single-number metric, quantum volume, that can be measured using a concrete protocol on near-term quantum computers of modest size (), and measure it o…