7 papers
Digital Predistortion for Flux Control of Tunable Superconducting Qubits
Dharun Venkateswaran, Felice Francesco Tafuri, Yuanzheng Paul Tan +8
Flux-tunable superconducting qubits rely on fast flux control pulses to implement two-qubit entangling quantum gates, a key building block for quantum algorithms. However, distorti…
Easier randomizing gates provide more accurate fidelity estimation
Debankan Sannamoth, Kristine Boone, Arnaud Carignan-Dugas +4
Accurate benchmarking of quantum gates is crucial for understanding and enhancing the performance of quantum hardware. A standard method for this is interleaved benchmarking, a tec…
A Theory of Direct Randomized Benchmarking
Anthony M. Polloreno, Arnaud Carignan-Dugas, Jordan Hines +3
Randomized benchmarking (RB) protocols are widely used to measure an average error rate for a set of quantum logic gates. However, the standard version of RB is limited because it…
Characterizing Universal Gate Sets via Dihedral Benchmarking
Arnaud Carignan-Dugas, Joel J. Wallman, Joseph Emerson
We describe a practical experimental protocol for robustly characterizing the error rates of non-Clifford gates associated with dihedral groups, including gates in SU(2) associated…
Quasi-Probabilistic Readout Correction of Mid-Circuit Measurements for Adaptive Feedback via Measurement Randomized Compiling
Akel Hashim, Arnaud Carignan-Dugas, Larry Chen +6
Quantum measurements are a fundamental component of quantum computing. However, on modern-day quantum computers, measurements can be more error prone than quantum gates, and are su…
Efficiently improving the performance of noisy quantum computers
Samuele Ferracin, Akel Hashim, Jean-Loup Ville +7
Using near-term quantum computers to achieve a quantum advantage requires efficient strategies to improve the performance of the noisy quantum devices presently available. We devel…