Search Results for author:
Found 9 papers, 1 papers with code
Predictive Models from Quantum Computer Benchmarks
In the first case study, we predict circuit (i) process fidelities and (ii) success probabilities by fitting error rates models to two kinds of volumetric benchmarking data.
Characterizing mid-circuit measurements on a superconducting qubit using gate set tomography
Measurements that occur within the internal layers of a quantum circuit -- mid-circuit measurements -- are an important quantum computing primitive, most notably for quantum error correction.
Quantum Physics
A taxonomy of small Markovian errors
Errors in quantum logic gates are usually modeled by quantum process matrices (CPTP maps).
Quantum Physics
Wildcard error: Quantifying unmodeled errors in quantum processors
Using both simulated and experimental data, we show how to use wildcard error to reconcile error models derived from RB and GST experiments with inconsistent data, to capture non-Markovianity, and to quantify all of a processor's observed error.
Quantum Physics
Classifying single-qubit noise using machine learning
Quantum characterization, validation, and verification (QCVV) techniques are used to probe, characterize, diagnose, and detect errors in quantum information processors (QIPs).
Detecting and tracking drift in quantum information processors
If quantum information processors are to fulfill their potential, the diverse errors that affect them must be understood and suppressed.
Quantum Physics Atomic Physics Data Analysis, Statistics and Probability
Behavior of the maximum likelihood in quantum state tomography
Because of the positivity constraint $\rho \geq 0$, quantum state space does not generally satisfy local asymptotic normality, meaning the classical null theory for the loglikelihood ratio (the Wilks theorem) should not be used.
Quantum Physics
Microwave-driven coherent operations of a semiconductor quantum dot charge qubit
A most intuitive realization of a qubit is a single electron charge sitting at two well-defined positions, such as the left and right sides of a double quantum dot.
Mesoscale and Nanoscale Physics Quantum Physics
Robust, self-consistent, closed-form tomography of quantum logic gates on a trapped ion qubit
We introduce and demonstrate experimentally: (1) a framework called "gate set tomography" (GST) for self-consistently characterizing an entire set of quantum logic gates on a black-box quantum device; (2) an explicit closed-form protocol for linear-inversion gate set tomography (LGST), whose reliability is independent of pathologies such as local maxima of the likelihood; and (3) a simple protocol for objectively scoring the accuracy of a tomographic estimate without reference to target gates, based on how well it predicts a set of testing experiments.
Quantum Physics
