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19932026
most citedArray Programming with NumPy

23.6k citations

Showing 2023 · quant-phShow all

13 papers · 2 filters

quant-ph2023★ 7 cited

Adiabatic quantum trajectories in engineered reservoirs

Emma C. King, Luigi Giannelli, Raphaël Menu +2

We analyze the efficiency of protocols for adiabatic quantum state transfer assisted by an engineered reservoir. The target dynamics is a quantum trajectory in the Hilbert space an…

quant-ph2023★ 2 cited

Entanglement and coherence in pure and doped Posner molecules

Betony Adams, Ilya Sinayskiy, Shivang Agarwal +1

The potential role of spin in biological systems is a primary topic in quantum biology. However, much of this research focuses on electron spin. A recent hypothesis suggests that n…

quant-ph2023★ 1 cited

Robustness of the projected squeezed state protocol

B. J. Alexander, J. J. Bollinger, M. S. Tame

Projected squeezed (PS) states are multipartite entangled states generated by unitary spin squeezing, followed by a collective quantum measurement and post-selection. They can lead…

quant-ph2023★ 11 cited

Pulsar Classification: Comparing Quantum Convolutional Neural Networks and Quantum Support Vector Machines

Donovan Slabbert, Matt Lourens, Francesco Petruccione

Well-known quantum machine learning techniques, namely quantum kernel assisted support vector machines (QSVMs) and quantum convolutional neural networks (QCNNs), are applied to the…

quant-ph2023★ 35 cited

QAOA Performance in Noisy Devices: The Effect of Classical Optimizers and Ansatz Depth

Aidan Pellow-Jarman, Shane McFarthing, Ilya Sinayskiy +3

The Quantum Approximate Optimization Algorithm (QAOA) is a variational quantum algorithm for Near-term Intermediate-Scale Quantum computers (NISQ) providing approximate solutions f…

quant-ph2023★ 394 cited

A Review on Quantum Approximate Optimization Algorithm and its Variants

Kostas Blekos, Dean Brand, Andrea Ceschini +4

The Quantum Approximate Optimization Algorithm (QAOA) is a highly promising variational quantum algorithm that aims to solve combinatorial optimization problems that are classicall…