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Variational Quantum Algorithms
TLDR
An overview of the field of Variational Quantum Algorithms is presented and strategies to overcome their challenges as well as the exciting prospects for using them as a means to obtain quantum advantage are discussed. Expand
Unified approach to data-driven quantum error mitigation
TLDR
A novel, scalable error mitigation method that conceptually unifies ZNE and CDR, called variable-noise Clifford data regression (vnCDR), significantly outperforms these individual methods in numerical benchmarks. Expand
Effect of barren plateaus on gradient-free optimization
TLDR
It is shown that gradient-free optimizers do not solve the barren plateau problem, and the main result proves that cost function differences, which are the basis for making decisions in a gradient- free optimization, are exponentially suppressed in a barren plateau. Expand
An Adaptive Optimizer for Measurement-Frugal Variational Algorithms
TLDR
A novel optimizer called individual Coupled Adaptive Number of Shots (iCANS) is introduced, which frugally selects the number of measurements both for a given iteration and for aGiven partial derivative in a stochastic gradient descent. Expand
Variational Quantum State Eigensolver
Extracting eigenvalues and eigenvectors of exponentially large matrices will be an important application of near-term quantum computers. The Variational Quantum Eigensolver (VQE) treats the case whenExpand
Error mitigation with Clifford quantum-circuit data
Achieving near-term quantum advantage will require accurate estimation of quantum observables despite significant hardware noise. For this purpose, we propose a novel, scalable error-mitigationExpand
Unifying and benchmarking state-of-the-art quantum error mitigation techniques
Daniel Bultrini,1, 2, ∗ Max Hunter Gordon,3, ∗ Piotr Czarnik,1 Andrew Arrasmith,1, 4 Patrick J. Coles,1, 4 and Lukasz Cincio1, 4 Theoretical Division, Los Alamos National Laboratory, Los Alamos, NMExpand
Qubit-efficient exponential suppression of errors
Achieving a practical advantage with near-term quantum computers hinges on having effective methods to suppress errors. Recent breakthroughs have introduced methods capable of exponentiallyExpand
Variational consistent histories as a hybrid algorithm for quantum foundations
TLDR
A variational hybrid quantum-classical algorithm for finding consistent histories, which should revitalize interest in this formalism by allowing classically impossible calculations to be performed. Expand
Barren Plateaus Preclude Learning Scramblers.
TLDR
A no-go theorem for learning an unknown scrambling process with QML is proved, showing that it is highly probable for any variational Ansatz to have a barren plateau landscape, i.e., cost gradients that vanish exponentially in the system size. Expand
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