Digital zero noise extrapolation for quantum error mitigation
- URL: http://arxiv.org/abs/2005.10921v2
- Date: Thu, 14 Jan 2021 13:40:24 GMT
- Title: Digital zero noise extrapolation for quantum error mitigation
- Authors: Tudor Giurgica-Tiron, Yousef Hindy, Ryan LaRose, Andrea Mari, and
William J. Zeng
- Abstract summary: Zero-noise extrapolation (ZNE) is an increasingly popular technique for mitigating errors in noisy quantum computations.
We propose several improvements to noise scaling and extrapolation, the two key components in the technique.
Benchmarks of our techniques show error reductions of 18X to 24X over non-mitigated circuits.
This work is a self-contained introduction to the practical use of ZNE by quantum programmers.
- Score: 1.3701366534590498
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Zero-noise extrapolation (ZNE) is an increasingly popular technique for
mitigating errors in noisy quantum computations without using additional
quantum resources. We review the fundamentals of ZNE and propose several
improvements to noise scaling and extrapolation, the two key components in the
technique. We introduce unitary folding and parameterized noise scaling. These
are digital noise scaling frameworks, i.e. one can apply them using only
gate-level access common to most quantum instruction sets. We also study
different extrapolation methods, including a new adaptive protocol that uses a
statistical inference framework. Benchmarks of our techniques show error
reductions of 18X to 24X over non-mitigated circuits and demonstrate ZNE
effectiveness at larger qubit numbers than have been tested previously. In
addition to presenting new results, this work is a self-contained introduction
to the practical use of ZNE by quantum programmers.
Related papers
- Application of zero-noise extrapolation-based quantum error mitigation to a silicon spin qubit [0.08603957004874943]
We report the implementation of a zero-noise extrapolation-based error mitigation technique on a silicon spin qubit platform.
This technique has been successfully demonstrated for other platforms such as superconducting qubits, trapped-ion qubits, and photonic processors.
arXiv Detail & Related papers (2024-10-14T09:51:21Z) - Error-Mitigated Quantum Random Access Memory [5.071240774172899]
We propose a modified version of Zero-Noise Extrapolation (ZNE) that provides for a significant performance enhancement on current noisy devices.
Our results demonstrate the critical role the extrapolation function plays in ZNE.
arXiv Detail & Related papers (2024-03-10T23:19:57Z) - Mitigating Errors on Superconducting Quantum Processors through Fuzzy
Clustering [38.02852247910155]
A new Quantum Error Mitigation (QEM) technique uses Fuzzy C-Means clustering to specifically identify measurement error patterns.
We report a proof-of-principle validation of the technique on a 2-qubit register, obtained as a subset of a real NISQ 5-qubit superconducting quantum processor.
We demonstrate that the FCM-based QEM technique allows for reasonable improvement of the expectation values of single- and two-qubit gates based quantum circuits.
arXiv Detail & Related papers (2024-02-02T14:02:45Z) - Improving Zero-noise Extrapolation for Quantum-gate Error Mitigation using a Noise-aware Folding Method [0.0]
We introduce a noise-aware folding technique that enhances Zero-Noise Extrapolation (ZNE)
Our method redistributes noise using calibration data based on hardware noise models.
By employing a noise-adaptive compilation method combined with our proposed folding mechanism, we enhance the ZNE accuracy of quantum gate-based computing.
arXiv Detail & Related papers (2024-01-23T05:36:40Z) - Optimized Noise Suppression for Quantum Circuits [0.40964539027092917]
Crosstalk noise is a severe error source in, e.g., cross-resonance based superconducting quantum processors.
Intrepid programming algorithm extends previous work on optimized qubit routing by swap insertion.
We evaluate the proposed method by characterizing crosstalk noise for two chips with up to 127 qubits.
arXiv Detail & Related papers (2024-01-12T07:34:59Z) - 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) - Folding-Free ZNE: A Comprehensive Quantum Zero-Noise Extrapolation
Approach for Mitigating Depolarizing and Decoherence Noise [13.362818196498257]
A range of quantum error mitigation techniques has been proposed to address noise in quantum computers.
ZNE involves increasing the noise levels in a circuit and then using extrapolation to infer the zero noise case from the noisy results.
This paper presents a novel ZNE approach that does not require circuit folding or noise scaling to mitigate depolarizing and/or decoherence noise.
arXiv Detail & Related papers (2023-05-01T01:54:26Z) - Quantum Computing Provides Exponential Regret Improvement in Episodic
Reinforcement Learning [35.11103784048256]
We propose an textitUpper Confidence Bound (UCB) based quantum algorithmic framework to facilitate learning of a finite-horizon MDP.
Our quantum algorithm achieves an exponential improvement in regret as compared to the classical counterparts.
arXiv Detail & Related papers (2023-02-16T23:01:27Z) - Quantum Worst-Case to Average-Case Reductions for All Linear Problems [66.65497337069792]
We study the problem of designing worst-case to average-case reductions for quantum algorithms.
We provide an explicit and efficient transformation of quantum algorithms that are only correct on a small fraction of their inputs into ones that are correct on all inputs.
arXiv Detail & Related papers (2022-12-06T22:01:49Z) - Hardware-Efficient, Fault-Tolerant Quantum Computation with Rydberg
Atoms [55.41644538483948]
We provide the first complete characterization of sources of error in a neutral-atom quantum computer.
We develop a novel and distinctly efficient method to address the most important errors associated with the decay of atomic qubits to states outside of the computational subspace.
Our protocols can be implemented in the near-term using state-of-the-art neutral atom platforms with qubits encoded in both alkali and alkaline-earth atoms.
arXiv Detail & Related papers (2021-05-27T23:29:53Z) - Efficient and robust certification of genuine multipartite entanglement
in noisy quantum error correction circuits [58.720142291102135]
We introduce a conditional witnessing technique to certify genuine multipartite entanglement (GME)
We prove that the detection of entanglement in a linear number of bipartitions by a number of measurements scales linearly, suffices to certify GME.
We apply our method to the noisy readout of stabilizer operators of the distance-three topological color code and its flag-based fault-tolerant version.
arXiv Detail & Related papers (2020-10-06T18:00:07Z)
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.