806 citations · 3k across the 21 of their papers we have counts for
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Optimal tests for continuous-variable quantum teleportation and photodetectors
Kunal Sharma, Barry C. Sanders, Mark M. Wilde
Quantum teleportation is a primitive in several important applications, including quantum communication, quantum computation, error correction, and quantum networks. In this work,…
Noise-Induced Barren Plateaus in Variational Quantum Algorithms
Samson Wang, Enrico Fontana, M. Cerezo +4
Variational Quantum Algorithms (VQAs) may be a path to quantum advantage on Noisy Intermediate-Scale Quantum (NISQ) computers. A natural question is whether noise on NISQ devices p…
Reformulation of the No-Free-Lunch Theorem for Entangled Data Sets
Kunal Sharma, M. Cerezo, Zoë Holmes +3
The no-free-lunch (NFL) theorem is a celebrated result in learning theory that limits one's ability to learn a function with a training data set. With the recent rise of quantum ma…
Trainability of Dissipative Perceptron-Based Quantum Neural Networks
Kunal Sharma, M. Cerezo, Lukasz Cincio +1
Several architectures have been proposed for quantum neural networks (QNNs), with the goal of efficiently performing machine learning tasks on quantum data. Rigorous scaling result…
Variational Quantum State Eigensolver
M. Cerezo, Kunal Sharma, Andrew Arrasmith +1
Extracting eigenvalues and eigenvectors of exponentially large matrices will be an important application of near-term quantum computers. The Variational Quantum Eigensolver (VQE) t…