Real-time adaptation of quantum noise channel estimates
- URL: http://arxiv.org/abs/2501.18685v1
- Date: Thu, 30 Jan 2025 19:00:01 GMT
- Title: Real-time adaptation of quantum noise channel estimates
- Authors: Lucas Daguerre, Mohan Sarovar,
- Abstract summary: We propose a method to perform real-time adaptation of noise channel estimates during the execution of a quantum algorithmic circuit.
We demonstrate and evaluate the technique, which can be seen as a protocol for real-time calibration of high-level gate error information.
- Score: 0.0
- License:
- Abstract: Estimates of noise channels for quantum gates are required for most error mitigation techniques and are desirable for informing quantum error correction decoders. These estimates can be obtained by resource-intensive off-line characterization techniques, but can become stale due to device drift and fluctuations. We propose a method to address this issue by performing real-time adaptation of noise channel estimates during the execution of a quantum algorithmic circuit using extended flag gadgets, mid-circuit measurements and Bayesian inference. We carry out analytical calculations and numerical simulations employing a Dirichlet prior distribution for the error rates in a Pauli channel to demonstrate and evaluate the technique, which can be seen as a protocol for real-time calibration of high-level gate error information.
Related papers
- Bayesian Quantum Amplitude Estimation [49.1574468325115]
We introduce BAE, a noise-aware Bayesian algorithm for quantum amplitude estimation.
We show that BAE achieves Heisenberg-limited estimation and benchmark it against other approaches.
arXiv Detail & Related papers (2024-12-05T18:09:41Z) - Near-Term Distributed Quantum Computation using Mean-Field Corrections
and Auxiliary Qubits [77.04894470683776]
We propose near-term distributed quantum computing that involve limited information transfer and conservative entanglement production.
We build upon these concepts to produce an approximate circuit-cutting technique for the fragmented pre-training of variational quantum algorithms.
arXiv Detail & Related papers (2023-09-11T18:00:00Z) - Adaptive mitigation of time-varying quantum noise [0.1227734309612871]
Current quantum computers suffer from non-stationary noise channels with high error rates.
We propose a Bayesian inference-based adaptive algorithm that can learn and mitigate quantum noise in response to changing channel conditions.
arXiv Detail & Related papers (2023-08-16T01:33:07Z) - Fault-tolerant Coding for Entanglement-Assisted Communication [46.0607942851373]
This paper studies the study of fault-tolerant channel coding for quantum channels.
We use techniques from fault-tolerant quantum computing to establish coding theorems for sending classical and quantum information in this scenario.
We extend these methods to the case of entanglement-assisted communication, in particular proving that the fault-tolerant capacity approaches the usual capacity when the gate error approaches zero.
arXiv Detail & Related papers (2022-10-06T14:09:16Z) - Learning logical Pauli noise in quantum error correction [0.7264378254137809]
We focus on the characterization of quantum computers in the context of stabilizer quantum error correction.
For arbitrary stabilizer codes, subsystem codes, and data syndrome codes, we prove that the logical error channel induced by Pauli noise can be estimated from syndrome data under minimal conditions.
arXiv Detail & Related papers (2022-09-19T18:00:06Z) - Measuring NISQ Gate-Based Qubit Stability Using a 1+1 Field Theory and
Cycle Benchmarking [50.8020641352841]
We study coherent errors on a quantum hardware platform using a transverse field Ising model Hamiltonian as a sample user application.
We identify inter-day and intra-day qubit calibration drift and the impacts of quantum circuit placement on groups of qubits in different physical locations on the processor.
This paper also discusses how these measurements can provide a better understanding of these types of errors and how they may improve efforts to validate the accuracy of quantum computations.
arXiv Detail & Related papers (2022-01-08T23:12:55Z) - Circuit Symmetry Verification Mitigates Quantum-Domain Impairments [69.33243249411113]
We propose circuit-oriented symmetry verification that are capable of verifying the commutativity of quantum circuits without the knowledge of the quantum state.
In particular, we propose the Fourier-temporal stabilizer (STS) technique, which generalizes the conventional quantum-domain formalism to circuit-oriented stabilizers.
arXiv Detail & Related papers (2021-12-27T21:15:35Z) - Fundamental limits of quantum error mitigation [0.0]
We show how error-mitigation algorithms can reduce the computation error as a function of their sampling overhead.
Our results provide a means to identify when a given quantum error-mitigation strategy is optimal and when there is potential room for improvement.
arXiv Detail & Related papers (2021-09-09T17:56:14Z) - Performance of teleportation-based error correction circuits for bosonic
codes with noisy measurements [58.720142291102135]
We analyze the error-correction capabilities of rotation-symmetric codes using a teleportation-based error-correction circuit.
We find that with the currently achievable measurement efficiencies in microwave optics, bosonic rotation codes undergo a substantial decrease in their break-even potential.
arXiv Detail & Related papers (2021-08-02T16:12:13Z) - Pauli channels can be estimated from syndrome measurements in quantum
error correction [0.7264378254137809]
We show that a stabilizer code can be used to estimate Pauli channels with correlations across a number of qubits given by the pure distance.
It also allows for measurement errors within the framework of quantum data-syndrome codes.
It is our hope that this work opens up interesting applications, such as the online adaptation of a decoder to time-varying noise.
arXiv Detail & Related papers (2021-07-29T18:01:10Z)
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.