Quantum Error Mitigated Classical Shadows
- URL: http://arxiv.org/abs/2305.04956v2
- Date: Mon, 23 Oct 2023 20:47:49 GMT
- Title: Quantum Error Mitigated Classical Shadows
- Authors: Hamza Jnane, Jonathan Steinberg, Zhenyu Cai, H. Chau Nguyen, B\'alint
Koczor
- Abstract summary: We consider error mitigation techniques, such as Probabilistic Error Cancellation (PEC), Zero Noise Extrapolation (ZNE) and Symmetry Verification (SV)
PEC shadows are an unbiased estimator for the ideal quantum state $rho_id$.
The broad set of tools introduced in this work may be instrumental in exploiting near-term and early fault-tolerant quantum computers.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Classical shadows enable us to learn many properties of a quantum state
$\rho$ with very few measurements. However, near-term and early fault-tolerant
quantum computers will only be able to prepare noisy quantum states $\rho$ and
it is thus a considerable challenge to efficiently learn properties of an
ideal, noise free state $\rho_{id}$. We consider error mitigation techniques,
such as Probabilistic Error Cancellation (PEC), Zero Noise Extrapolation (ZNE)
and Symmetry Verification (SV) which have been developed for mitigating errors
in single expected value measurements and generalise them for mitigating errors
in classical shadows. We find that PEC is the most natural candidate and thus
develop a thorough theoretical framework for PEC shadows with the following
rigorous theoretical guarantees: PEC shadows are an unbiased estimator for the
ideal quantum state $\rho_{id}$; the sample complexity for simultaneously
predicting many linear properties of $\rho_{id}$ is identical to that of the
conventional shadows approach up to a multiplicative factor which is the sample
overhead due to error mitigation. Due to efficient post-processing of shadows,
this overhead does not depend directly on the number of qubits but rather grows
exponentially with the number of noisy gates. The broad set of tools introduced
in this work may be instrumental in exploiting near-term and early
fault-tolerant quantum computers: We demonstrate in detailed numerical
simulations a range of practical applications of quantum computers that will
significantly benefit from our techniques.
Related papers
- Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits [63.733312560668274]
Given a quantum circuit containing d tunable RZ gates and G-d Clifford gates, can a learner perform purely classical inference to efficiently predict its linear properties?
We prove that the sample complexity scaling linearly in d is necessary and sufficient to achieve a small prediction error, while the corresponding computational complexity may scale exponentially in d.
We devise a kernel-based learning model capable of trading off prediction error and computational complexity, transitioning from exponential to scaling in many practical settings.
arXiv Detail & Related papers (2024-08-22T08:21:28Z) - Using PT-symmetric Qubits to Break the Tradeoff Between Fidelity and the Degree of Quantum Entanglement [2.3303130882225185]
A new approach can efficiently prepare multi-qubit entanglement and use not only bipartite but also tripartite entanglement.
This new approach can efficiently prepare multi-qubit entanglement and use not only bipartite but also tripartite entanglement.
arXiv Detail & Related papers (2024-07-11T14:14:37Z) - Hybrid quantum transfer learning for crack image classification on NISQ
hardware [62.997667081978825]
We present an application of quantum transfer learning for detecting cracks in gray value images.
We compare the performance and training time of PennyLane's standard qubits with IBM's qasm_simulator and real backends.
arXiv Detail & Related papers (2023-07-31T14:45:29Z) - Limitations of Noisy Quantum Devices in Computational and Entangling
Power [5.178527492542246]
We show that noisy quantum devices with a circuit depth of more than $O(log n)$ provide no advantages in any quantum algorithms.
We also study the maximal entanglement that noisy quantum devices can produce under one- and two-dimensional qubit connections.
arXiv Detail & Related papers (2023-06-05T12:29:55Z) - 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) - Automated quantum error mitigation based on probabilistic error
reduction [0.9236074230806579]
Current quantum computers suffer from a level of noise that prohibits extracting useful results directly from longer computations.
We present an automated quantum error mitigation software framework that includes noise tomography and application of PER to user-specified circuits.
arXiv Detail & Related papers (2022-10-16T19:09:41Z) - Deterministic and Entanglement-Efficient Preparation of
Amplitude-Encoded Quantum Registers [0.533024001730262]
A classical vector $mathbfb$ is encoded in the amplitudes of a quantum state.
An arbitrary state of $Q$ qubits generally requires approximately $2Q$ entangling gates.
We present a deterministic (nonvariational) algorithm that allows one to flexibly reduce the quantum resources required for state preparation.
arXiv Detail & Related papers (2021-10-26T07:37:54Z) - Realization of arbitrary doubly-controlled quantum phase gates [62.997667081978825]
We introduce a high-fidelity gate set inspired by a proposal for near-term quantum advantage in optimization problems.
By orchestrating coherent, multi-level control over three transmon qutrits, we synthesize a family of deterministic, continuous-angle quantum phase gates acting in the natural three-qubit computational basis.
arXiv Detail & Related papers (2021-08-03T17:49:09Z) - Sampling Overhead Analysis of Quantum Error Mitigation: Uncoded vs.
Coded Systems [69.33243249411113]
We show that Pauli errors incur the lowest sampling overhead among a large class of realistic quantum channels.
We conceive a scheme amalgamating QEM with quantum channel coding, and analyse its sampling overhead reduction compared to pure QEM.
arXiv Detail & Related papers (2020-12-15T15:51:27Z) - Robust shadow estimation [1.7205106391379026]
We show how to mitigate errors in the shadow estimation protocol recently proposed by Huang, Kueng, and Preskill.
By adding an experimentally friendly calibration stage to the standard shadow estimation scheme, our robust shadow estimation algorithm can obtain an unbiased estimate of the classical shadow of a quantum system.
arXiv Detail & Related papers (2020-11-19T03:46:49Z) - Quantum noise protects quantum classifiers against adversaries [120.08771960032033]
Noise in quantum information processing is often viewed as a disruptive and difficult-to-avoid feature, especially in near-term quantum technologies.
We show that by taking advantage of depolarisation noise in quantum circuits for classification, a robustness bound against adversaries can be derived.
This is the first quantum protocol that can be used against the most general adversaries.
arXiv Detail & Related papers (2020-03-20T17:56:14Z)
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.