High-speed calibration and characterization of superconducting quantum
processors without qubit reset
- URL: http://arxiv.org/abs/2010.06576v1
- Date: Tue, 13 Oct 2020 17:50:09 GMT
- Title: High-speed calibration and characterization of superconducting quantum
processors without qubit reset
- Authors: Max Werninghaus and Daniel Egger and Stefan Filipp
- Abstract summary: Active qubit reset increases the speed at which data can be gathered but requires additional hardware and/or calibration.
In this case, the outcome of a first measurement serves as the initial state for the next experiment.
We show how to efficiently analyze restless measurements and correct distortions to achieve an identical outcome and accuracy as compared to measurements in which the superconducting qubits are reset.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: To Characterize and calibrate quantum processing devices a large amount of
measurement data has to be collected. Active qubit reset increases the speed at
which data can be gathered but requires additional hardware and/or calibration.
The experimental apparatus can, however, be operated at elevated repetition
rates without reset. In this case, the outcome of a first measurement serves as
the initial state for the next experiment. Rol. $\textit{et al.}$ used this
restless operation mode to accelerate the calibration of a single-qubit gate by
measuring fixed-length sequences of Clifford gates which compose to $X$ gates
[Phys. Rev. Appl. $7$, 041001 (2017)]. However, we find that, when measuring
pulse sequences which compose to arbitrary operations, a distortion appears in
the measured data. Here, we extend the restless methodology by showing how to
efficiently analyze restless measurements and correct distortions to achieve an
identical outcome and accuracy as compared to measurements in which the
superconducting qubits are reset. This allows us to rapidly characterize and
calibrate qubits. We illustrate our data collection and analysis method by
measuring a Rabi oscillation at a $250~\rm{kHz}$ repetition rate without any
reset, for a qubit with a decay rate of $1/2\pi T_1=3~\rm{kHz}$.
We also show that we can measure a single- and a two-qubit average gate
fidelity with Randomized Benchmarking 20 and 8 times faster, respectively, than
measurements that reset the qubits through $T_1$-decay.
Related papers
- To reset, or not to reset -- that is the question [2.749898166276854]
Text-book quantum error correction demands that qubits are reset after measurement.
Many cutting-edge quantum error correction experiments are opting for the no-reset approach.
We find that unconditionally resetting qubits can reduce the duration of fault-tolerant logical operation by up to a factor of two.
arXiv Detail & Related papers (2024-08-01T17:57:56Z) - Readout Error Mitigation for Mid-Circuit Measurements and Feedforward [0.0]
Current-day quantum computing platforms are subject to readout errors.
We present a general method for readout error mitigation for expectation values on circuits with mid-circuit measurements and feedforward.
We demonstrate the effectiveness of our method, obtaining up to a $sim 60%$ reduction in error on superconducting quantum processors.
arXiv Detail & Related papers (2024-06-11T18:00:01Z) - Fast Flux-Activated Leakage Reduction for Superconducting Quantum
Circuits [84.60542868688235]
leakage out of the computational subspace arising from the multi-level structure of qubit implementations.
We present a resource-efficient universal leakage reduction unit for superconducting qubits using parametric flux modulation.
We demonstrate that using the leakage reduction unit in repeated weight-two stabilizer measurements reduces the total number of detected errors in a scalable fashion.
arXiv Detail & Related papers (2023-09-13T16:21:32Z) - Model-based Optimization of Superconducting Qubit Readout [59.992881941624965]
We demonstrate model-based readout optimization for superconducting qubits.
We observe 1.5% error per qubit with a 500ns end-to-end duration and minimal excess reset error from residual resonator photons.
This technique can scale to hundreds of qubits and be used to enhance the performance of error-correcting codes and near-term applications.
arXiv Detail & Related papers (2023-08-03T23:30:56Z) - Enhancing Dispersive Readout of Superconducting Qubits Through Dynamic
Control of the Dispersive Shift: Experiment and Theory [47.00474212574662]
A superconducting qubit is coupled to a large-bandwidth readout resonator.
We show a beyond-state-of-the-art two-state-readout error of only 0.25,%$ in 100 ns integration time.
The presented results are expected to further boost the performance of new and existing algorithms and protocols.
arXiv Detail & Related papers (2023-07-15T10:30:10Z) - Leakage in restless quantum gate calibration [0.5439020425819]
We develop a simulator of restless circuit execution based on a Markov Chain to study the effect of leakage.
We show that restless calibration tolerates up to 0.5% of leakage which is large compared to the $10-4$ gate fidelity of modern single-qubit gates.
Our results are obtained with standard qubit state discrimination showing that restless circuit execution is resilient against misclassified non-computational states.
arXiv Detail & Related papers (2023-04-18T20:59:16Z) - Mixed-Precision Neural Network Quantization via Learned Layer-wise
Importance [50.00102219630088]
Mixed-precision quantization (MPQ) makes it hard to determine the optimal bit-width for each layer.
We propose a joint training scheme that can obtain all indicators at once.
For example, MPQ search on ResNet18 with our indicators takes only 0.06 seconds.
arXiv Detail & Related papers (2022-03-16T03:23:50Z) - Minimum quantum run-time characterization and calibration via restless
measurements with dynamic repetition rates [0.716879432974126]
We show restless measurements with a dynamic repetition rate that speed-up calibration and characterization tasks.
We also present a methodology to perform restless quantum process tomography that mitigates restless state preparation errors.
arXiv Detail & Related papers (2022-02-14T19:00:18Z) - Characterizing mid-circuit measurements on a superconducting qubit using
gate set tomography [0.0]
We show how to characterize mid-circuit measurements modelled by quantum instruments.
We then apply this technique to characterize a dispersive measurement on a superconducting transmon qubit within a multiqubit system.
arXiv Detail & Related papers (2021-03-04T13:10:53Z) - Localized Calibration: Metrics and Recalibration [133.07044916594361]
We propose a fine-grained calibration metric that spans the gap between fully global and fully individualized calibration.
We then introduce a localized recalibration method, LoRe, that improves the LCE better than existing recalibration methods.
arXiv Detail & Related papers (2021-02-22T07:22:12Z) - Bayesian Bits: Unifying Quantization and Pruning [73.27732135853243]
We introduce Bayesian Bits, a practical method for joint mixed precision quantization and pruning through gradient based optimization.
We experimentally validate our proposed method on several benchmark datasets and show that we can learn pruned, mixed precision networks.
arXiv Detail & Related papers (2020-05-14T16:00:34Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.