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Efficient and robust estimation of non|classical effects in quantum ...


Efficient and robust estimation of non-classical effects in quantum ...

Motivated by recent techniques in randomized benchmarking (RB), we develop a range of results for efficient estimation of correlations in channels.

Efficient and robust estimation of non-classical effects in quantum ...

Motivated by recent techniques in randomized benchmarking (RB), we develop a range of results for efficient estimation of correlations in channels. We extend ...

Efficient and robust estimation of non-classical effects in quantum ...

We extend the notion of unitarity - an average figure of merit that captures the coherence of a quantum channel - to substructures within a bipartite quantum.

Efficient and robust estimation of many-qubit Hamiltonians - Nature

Characterizing the interactions and dynamics of quantum mechanical systems is an essential task in developing quantum technologies.

Robust Estimation of Nonlinear Properties of Quantum Processes

Combining classical shadow tomography and randomized benchmarking, Helsen et al. introduced a method to estimate the linear properties of ...

Efficient learning of continuous-variable quantum states

Here we propose an alternative approach where the goal is not to reconstruct the full quantum state, but rather to estimate its characteristic ...

Efficient and Robust Methods for Quantum Tomography

This requirement is an inherent feature of quantum mechanics, but has powerful consequences to QT. Since QT is necessarily an experimental tool ...

Efficient classical algorithms for simulating symmetric quantum ...

These methods are adaptable to a wide range of input and output states including those prescribed in the Schur basis, as matrix product states, ...

Experimental demonstration of Robust Amplitude Estimation on near ...

This study explores hardware implementation of Robust Amplitude Estimation (RAE) on IBM quantum devices, demonstrating its application in quantum chemistry.

Efficiency of quantum vs. classical annealing in nonconvex ... - PNAS

Quantum annealers aim at solving nonconvex optimization problems by exploiting cooperative tunneling effects to escape local minima. The underlying idea ...

(PDF) Efficient and robust estimation of many-qubit Hamiltonians

This protocol can be used to parallelize the learning of the Hamiltonian, rendering it applicable for the characterization of both current and future quantum ...

Quantum estimation, control and learning - ScienceDirect.com

... efficient and robust quantum learning control ... for developing novel quantum deep learning which may be more efficient than classical.

Estimating many properties of a quantum state via quantum ...

To estimate properties simultaneously, the size of the classical approximation scales as . Moreover, this estimation scheme is extendable to ...

Efficiency of quantum vs. classical annealing in nonconvex learning ...

In the QA approach, a time-dependent quantum transverse field is added to the classical energy function leading to an interpolating Hamiltonian ...

Efficient variational simulation of non-trivial quantum states - SciPost

We provide an efficient and general route for preparing non-trivial quantum states that are not adiabatically connected to unentangled product states.

Efficient quantum state estimation with low-rank matrix completion

... quantum states, as it requires only non-entangling bases and ... Robust and efficient high-dimensional quantum state tomography. Phys ...

Estimation and control of open quantum systems – Q-COAST - ANR

Although the theory has evolved a lot, there are still many unanswered questions regarding optimality, robustness, and best design methods for dealing with ...

Variational Quantum Fidelity Estimation

To compute our bounds, we introduce a hybrid quantum-classical algorithm, called Variational Quantum Fidelity Estimation, that involves three ...

[PDF] Robust Estimation of the Quantum Fisher Information on a ...

The experimental measurement of a series of polynomial lower bounds that converge to the quantum Fisher information (QFI), a fundamental quantity for ...

A practical and efficient approach for Bayesian quantum state ...

In general, QST seeks to estimate the density matrix ρ describing a given state, utilizing the results of measurements on repeated state preparations [1]. As an ...