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Avoiding Barren Plateaus Using Classical Shadows


Avoiding Barren Plateaus Using Classical Shadows

Variational quantum algorithms are augmented by an additional subroutine that efficiently detects signatures of barren plateaus ...

[2201.08194] Avoiding barren plateaus using classical shadows

In this work we propose a general algorithm to avoid barren plateaus in the initialization and throughout the optimization. To this end we ...

Avoiding barren plateaus using classical shadows - YouTube

This is a talk held by Stefan H. Sack and Raimel A. Medina (IST Austria) in our group seminar on March 21, 2022.

Avoiding Barren Plateaus - Pasqal

The proposed algorithm estimates the expectation value of the cost function, its gradients, and the second Rényi entropy of small subsystems using classical ...

Avoiding barren plateaus using classical shadows

The optimization landscape of expressive variational ansätze is however dominated by large regions in parameter space, known as barren plateaus, ...

Does provable absence of barren plateaus imply classical ... - arXiv

Our general argument is supported by an analysis of widely used schemes through which we show that all considered methods for avoiding barren plateaus can be ...

Avoiding Barren Plateaus Using Classical Shadows - Altmetric

Avoiding Barren Plateaus Using Classical Shadows ; Mentioned by. twitter: 21 X users ; Citations. dimensions_citation: 74 Dimensions ; Readers on. mendeley: 60 ...

Avoiding barren plateaus in the variational determination of ...

VQAs are hybrid quantum-classical algorithms where a cost function is efficiently evaluated on a quantum processor and is optimized using ...

[PDF] Hardware-efficient ansatz without barren plateaus in any depth

This paper proposes two novel parameter conditions in which the hardware-efficient ansatz (HEA) is free from barren plateaus for arbitrary ...

Diagnosing Barren Plateaus with Tools from Quantum Optimal Control

It is common folklore that problem-inspired ansatzes avoid barren plateaus, but in fact, very little is known about their gradient scaling. In ...

[PDF] Does provable absence of barren plateaus imply classical ...

A large amount of effort has recently been put into understanding the barren plateau phenomenon. In this perspective article, we face the increasingly loud ...

Classical Shadows With Noise - Quantum Journal

[52] Stefan H. Sack, Raimel A. Medina, Alexios A. Michailidis, Richard Kueng, and Maksym Serbyn, "Avoiding Barren Plateaus Using Classical ...

Are classical shadows useful? - Quantum Computing Stack Exchange

If you know what questions to ask beforehand, you can often do much better than with classical shadows / randomized measurements, at least ...

Engineered dissipation to mitigate barren plateaus - Nature

Barren plateaus build up as the system size increases, hence directly hindering the scalability of VQAs. Specifically, it was found that when a ...

Alternating Layered Variational Quantum Circuits Can Be ...

Classical Shadows Using Pauli Basis Measurements ... This is remarkable as, without using classical shadows, ... Avoiding Barren Plateaus Using Clas- sical Shadows.

Efficient Local Classical Shadow Tomography with ... - Inspire HEP

Avoiding Barren Plateaus Using Classical Shadows ... e-Print: ... DOI: 10.1103/PRXQuantum.3.020365.

Avoiding Barren Plateaus in Variational Quantum Circuits - GitHub

1.- The cost function is global, i.e., involves measurements in many qubits [2]. · 2.- The parametric quantum circuit is too expressive, that is equivalent to ...

Does provable absence of barren plateaus imply classical ... - Indico

Basheer, Y. Feng, C. Ferrie, and S. Li, Alternating layered variational quantum circuits can be classically optimized efficiently using classical shadows, arXiv ...

Avoiding barren plateaus via Gaussian Mixture Model - Inspire HEP

Alternating layered variational quantum circuits can be classically optimized efficiently using classical shadows, in Proceedings of the AAAI ...

(PDF) Avoiding barren plateaus with classical deep neural networks

This is a method where the circuit parameters are updated iteratively using the cost function gradient. However, several works in the literature ...