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Mizrahi, Jonathan

Publications and source records attributed to Mizrahi, Jonathan.

Demonstration of qubit operations below a rigorous fault tolerance threshold with gate set tomography

Quantum information processors promise fast algorithms for problems inaccessible to classical computers. But since qubits are noisy and error-prone, they will depend on fault-tolerant quantum error correction (FTQEC) to compute reliably. Quantum error correction can protect against general noise if—and only if—the error in each physical qubit operation is smaller than a certain threshold. The threshold for general errors is quantified by their diamond norm. Until now, qubits have been assessed primarily by randomized benchmarking, which reports a different error rate that is not sensitive to all errors, and cannot be compared directly to diamond norm thresholds. Finally, we use gate set tomography to completely characterize operations on a trapped-Yb + -ion qubit and demonstrate with greater than 95% confidence that they satisfy a rigorous threshold for FTQEC (diamond norm ≤6.7 × 10 -4 ).

97 MATHEMATICS AND COMPUTING↗

IonControl v. 1.0

The IonControl software is a set of python scripts and Field-Programmable-Gate-Array (FPGA) code designed to control a trapped ion research experiment. It enables one to generate the pulses (time resolution: 20ns) necessary to control the quantum states of trapped ions and allows one to collect and analyze measurement results from trapped ion systems.

Maunz, Peter↗

IonControl v. 1.0

The IonControl software is a set of python scripts and Field-Programmable-Gate-Array (FPGA) code designed to control a trapped ion research experiment. It enables one to generate the pulses (time resolution: 20ns) necessary to control the quantum states of trapped ions and allows one to collect and analyze measurement results from trapped ion systems.

Maunz, Peter↗