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[HTML][HTML] The variational quantum eigensolver: a review of methods and best practices
The variational quantum eigensolver (or VQE), first developed by Peruzzo et al.(2014), has
received significant attention from the research community in recent years. It uses the …
received significant attention from the research community in recent years. It uses the …
Quantum simulation
Simulating quantum mechanics is known to be a difficult computational problem, especially
when dealing with large systems. However, this difficulty may be overcome by using some …
when dealing with large systems. However, this difficulty may be overcome by using some …
[HTML][HTML] Photonic quantum metrology
Quantum metrology is one of the most promising applications of quantum technologies. The
aim of this research field is the estimation of unknown parameters exploiting quantum …
aim of this research field is the estimation of unknown parameters exploiting quantum …
Shallow shadows: Expectation estimation using low-depth random Clifford circuits
We provide practical and powerful schemes for learning properties of a quantum state using
a small number of measurements. Specifically, we present a randomized measurement …
a small number of measurements. Specifically, we present a randomized measurement …
Recent advances for quantum neural networks in generative learning
Quantum computers are next-generation devices that hold promise to perform calculations
beyond the reach of classical computers. A leading method towards achieving this goal is …
beyond the reach of classical computers. A leading method towards achieving this goal is …
Quantum computing and simulations for energy applications: Review and perspective
Quantum computing and simulations are creating transformative opportunities by exploiting
the principles of quantum mechanics in new ways to generate and process information. It is …
the principles of quantum mechanics in new ways to generate and process information. It is …
Quantum state tomography with conditional generative adversarial networks
Quantum state tomography (QST) is a challenging task in intermediate-scale quantum
devices. Here, we apply conditional generative adversarial networks (CGANs) to QST. In the …
devices. Here, we apply conditional generative adversarial networks (CGANs) to QST. In the …
[KNYGA][B] Quantum measurement and control
HM Wiseman, GJ Milburn - 2009 - books.google.com
The control of individual quantum systems promises a new technology for the 21st century-
quantum technology. This book is the first comprehensive treatment of modern quantum …
quantum technology. This book is the first comprehensive treatment of modern quantum …
Quantum algorithmic measurement
There has been recent promising experimental and theoretical evidence that quantum
computational tools might enhance the precision and efficiency of physical experiments …
computational tools might enhance the precision and efficiency of physical experiments …
Gaussian states in continuous variable quantum information
These notes originated out of a set of lectures in Quantum Optics and Quantum Information
given by one of us (MGAP) at the University of Napoli and the University of Milano. A quite …
given by one of us (MGAP) at the University of Napoli and the University of Milano. A quite …