What is she best known for?
The fields of study she is best known for:
- Quantum mechanics
- Quantum entanglement
- Photon
Chiara Macchiavello focuses on Quantum mechanics, Quantum network, Quantum capacity, Quantum algorithm and Quantum information.
In her study, Quantum is strongly linked to Discrete mathematics, which falls under the umbrella field of Quantum mechanics.
Her Quantum network research includes elements of Quantum key distribution, Quantum cryptography and Theoretical computer science.
Her work carried out in the field of Quantum capacity brings together such families of science as Quantum channel and Amplitude damping channel.
Her research in Quantum information is mostly focused on Quantum error correction.
Her Quantum entanglement study incorporates themes from Laser cooling, Spectroscopy, Statistical physics and Qubit.
Her most cited work include:
- QUANTUM ALGORITHMS REVISITED (786 citations)
- Quantum Privacy Amplification and the Security of Quantum Cryptography over Noisy Channels (740 citations)
- Improvement of frequency standards with quantum entanglement (592 citations)
What are the main themes of her work throughout her whole career to date?
Chiara Macchiavello spends much of her time researching Quantum mechanics, Quantum, Quantum entanglement, Topology and Qubit.
Quantum capacity, Amplitude damping channel, Quantum information, Quantum algorithm and Quantum network are the subjects of her Quantum mechanics studies.
Her study in Quantum capacity is interdisciplinary in nature, drawing from both Quantum noise, Quantum channel and Quantum error correction.
Her work in Quantum algorithm covers topics such as Quantum operation which are related to areas like Quantum cloning.
Her studies deal with areas such as State, Mutual information and Bipartite graph as well as Quantum.
Her work deals with themes such as Quantum information science, Multipartite and Pauli exclusion principle, which intersect with Topology.
She most often published in these fields:
- Quantum mechanics (42.86%)
- Quantum (40.66%)
- Quantum entanglement (30.22%)
What were the highlights of her more recent work (between 2017-2021)?
- Quantum (40.66%)
- Quantum computer (13.74%)
- Artificial neural network (6.04%)
In recent papers she was focusing on the following fields of study:
Chiara Macchiavello mostly deals with Quantum, Quantum computer, Artificial neural network, Quantum information science and Qubit.
Her Quantum research is multidisciplinary, relying on both Canonical form, Statistical physics and Feedforward neural network.
Her Quantum computer research includes themes of Realization and Artificial intelligence.
Chiara Macchiavello has included themes like Quantum information and Topology in her Quantum information science study.
Her Qubit research is multidisciplinary, relying on both Algorithm, Artificial neuron and Exponential function.
Her Sigma study necessitates a more in-depth grasp of Quantum mechanics.
Between 2017 and 2021, her most popular works were:
- An artificial neuron implemented on an actual quantum processor (81 citations)
- Multipartite steering inequalities based on entropic uncertainty relations (22 citations)
- Quantum implementation of an artificial feed-forward neural network (14 citations)
In her most recent research, the most cited papers focused on:
- Quantum mechanics
- Quantum entanglement
- Photon
Her primary areas of study are Quantum, Topology, Quantum information science, Qubit and Process tomography.
Her biological study spans a wide range of topics, including Statistical physics, Inequality and Control theory.
Chiara Macchiavello conducts interdisciplinary study in the fields of Topology and Noise level through her research.
Her work carried out in the field of Qubit brings together such families of science as Combinatorics, Artificial neural network, Quantum computer, Exponential function and Multipartite entanglement.
Her study in Artificial neural network is interdisciplinary in nature, drawing from both Quantum algorithm, Computer engineering and Task.
Her Quantum computer study combines topics in areas such as Artificial neuron, Computational complexity theory, Quantum information, Artificial intelligence and Perceptron.
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