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20112026
most citedStatistical analysis of randomized benchmarking

49 citations · 356 across the 18 of their papers we have counts for

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16 papers · 1 filter

quant-ph2026

Observable Estimation in the Absence of Classical Verification

Samantha V. Barron, Bradley Mitchell, Vinay Tripathi +45

The predictive success of quantum mechanics underpins many areas of modern science, even as the exact simulation of large, interacting quantum systems remains beyond the reach of c…

quant-ph2026

Sampling hard circuits with verifiably high fidelity

Simon Martiel, Jay-U Chung, Alireza Seif +9

Sampling-based proposals are prominent candidates for demonstrating quantum computations beyond the reach of classical supercomputers. However, it has been difficult to combine the…

quant-ph2023★ 22 cited

Benchmarking Quantum Processor Performance at Scale

David C. McKay, Ian Hincks, Emily J. Pritchett +3

As quantum processors grow, new performance benchmarks are required to capture the full quality of the devices at scale. While quantum volume is an excellent benchmark, it focuses…

quant-ph2023★ 6 cited

The Error Reconstruction and Compiled Calibration of Quantum Computing Cycles

Arnaud Carignan-Dugas, Dar Dahlen, Ian Hincks +6

Quantum computers are inhibited by physical errors that occur during computation. For this reason, the development of increasingly sophisticated error characterization and error su…

quant-ph2022★ 5 cited

Concepts and conditions for error suppression through randomized compiling

Adam Winick, Joel J. Wallman, Dar Dahlen +3

Randomized compiling reduces the effects of errors on quantum computers by tailoring arbitrary Markovian errors into stochastic Pauli noise. Here we prove that randomized compiling…

quant-ph2021★ 15 cited

Leveraging Randomized Compiling for the QITE Algorithm

Jean-Loup Ville, Alexis Morvan, Akel Hashim +13

The success of the current generation of Noisy Intermediate-Scale Quantum (NISQ) hardware shows that quantum hardware may be able to tackle complex problems even without error corr…

quant-ph2020★ 35 cited

Randomized compiling for scalable quantum computing on a noisy superconducting quantum processor

Akel Hashim, Ravi K. Naik, Alexis Morvan +11

The successful implementation of algorithms on quantum processors relies on the accurate control of quantum bits (qubits) to perform logic gate operations. In this era of noisy int…

quant-ph2019★ 29 cited

Independent State and Measurement Characterization for Quantum Computers

Junan Lin, Joel J. Wallman, Ian Hincks +1

Correctly characterizing state preparation and measurement (SPAM) processes is a necessary step towards building reliable quantum processing units (QPUs). In this work, we discuss…

quant-ph2019★ 49 cited

Statistical analysis of randomized benchmarking

Robin Harper, Ian Hincks, Chris Ferrie +2

Randomized benchmarking and variants thereof, which we collectively call RB+, are widely used to characterize the performance of quantum computers because they are simple, scalable…

quant-ph2018★ 4 cited

Hamiltonian Learning with Online Bayesian Experiment Design in Practice

Ian Hincks, Thomas Alexander, Michal Kononenko +2

Estimating parameters of quantum systems is usually done by performing a sequence of predetermined experiments and post-processing the resulting data. It is known that online desig…

quant-ph2018★ 44 cited

Methods for preparation and detection of neutron spin-orbit states

D. Sarenac, J. Nsofini, I. Hincks +5

The generation and control of neutron orbital angular momentum (OAM) states and spin correlated OAM (spin-orbit) states provides a powerful probe of materials with unique penetrati…

quant-ph2018★ 6 cited

Bayesian Inference for Randomized Benchmarking Protocols

Ian Hincks, Joel J. Wallman, Chris Ferrie +2

Randomized benchmarking (RB) protocols are standard tools for characterizing quantum devices. Prior analyses of RB protocols have not provided a complete method for analyzing reali…

quant-ph2017★ 19 cited

Statistical Inference with Quantum Measurements: Methodologies for Nitrogen Vacancy Centers in Diamond

Ian Hincks, Christopher Granade, David G. Cory

The analysis of photon count data from the standard nitrogen vacancy (NV) measurement process is treated as a statistical inference problem. This has applications toward gaining be…

quant-ph2016★ 42 cited

QInfer: Statistical inference software for quantum applications

Christopher Granade, Christopher Ferrie, Ian Hincks +5

Characterizing quantum systems through experimental data is critical to applications as diverse as metrology and quantum computing. Analyzing this experimental data in a robust and…

quant-ph2014★ 45 cited

Accounting for Classical Hardware in the Control of Quantum Devices

Ian N. Hincks, Christopher Granade, Troy W. Borneman +1

High fidelity coherent control of quantum systems is critical to building quantum devices and quantum computers. We provide a general optimal control framework for designing contro…

quant-ph2011

Equivalent Hamiltonians for State to State Transfer in the Case of Partial Quantum Control

Ian N. Hincks, David G. Cory, Chandrasekhar Ramanathan

Given a fixed initial state, a desired Hamiltonian, and an amount of time, we provide a complete characterization of the set of Hamiltonians which perform the same action as the de…