Cargando…

Dynamical Localization Simulated on Actual Quantum Hardware

Mostrar otras versiones (1)

Quantum computers are invaluable tools to explore the properties of complex quantum systems. We show that dynamical localization of the quantum sawtooth map, a highly sensitive quantum coherent phenomenon, can be simulated on actual, small-scale quantum processors. Our results demonstrate that quant...

Descripción completa

Detalles Bibliográficos
Autores principales:	Pizzamiglio, Andrea, Chang, Su Yeon, Bondani, Maria, Montangero, Simone, Gerace, Dario, Benenti, Giuliano
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8224768/ https://www.ncbi.nlm.nih.gov/pubmed/34071055 http://dx.doi.org/10.3390/e23060654

Ejemplares similares

Dynamical localization simulated on actual quantum hardware
por: Pizzamiglio, Andrea, et al.
Publicado: (2021)

Correcting Coherent Errors by Random Operation on Actual Quantum Hardware
por: Cenedese, Gabriele, et al.
Publicado: (2023)

Generation of Pseudo-Random Quantum States on Actual Quantum Processors
por: Cenedese, Gabriele, et al.
Publicado: (2023)

Introduction to tensor network methods: numerical simulations of low-dimensional many-body quantum systems
por: Montangero, Simone
Publicado: (2018)

Hybrid quantum thermal machines with dynamical couplings
por: Cavaliere, Fabio, et al.
Publicado: (2023)

Running the Dual-PQC GAN on noisy simulators and real quantum hardware
por: Chang, Su Yeon, et al.
Publicado: (2023)

Introduction to Quantum Computing
por: Montangero, Simone
Publicado: (2018)

Principles of quantum computation and information
por: Benenti, Giuliano, et al.
Publicado: (2007)

Entanglement Dynamics and Classical Complexity
por: Wang, Jiaozi, et al.
Publicado: (2023)

A quantum-inspired tool for bridging the NISQ ERA
por: Montangero, Simone
Publicado: (2022)

Hamiltonian simulation algorithms for near-term quantum hardware
por: Clinton, Laura, et al.
Publicado: (2021)

Digital quantum simulators in a scalable architecture of hybrid spin-photon qubits
por: Chiesa, Alessandro, et al.
Publicado: (2015)

Application of Quantum Machine Learning to High Energy Physics Analysis at LHC Using Quantum Computer Simulators and Quantum Computer Hardware
por: Wu, Sau Lan, et al.
Publicado: (2022)

Lattice quantum electrodynamics in (3+1)-dimensions at finite density with tensor networks
por: Magnifico, Giuseppe, et al.
Publicado: (2021)

Feasibility of a Novel Quantum Communication Protocol in Jerlov Type I Water
por: Allevi, Alessia, et al.
Publicado: (2022)

Experimental on-demand recovery of entanglement by local operations within non-Markovian dynamics
por: Orieux, Adeline, et al.
Publicado: (2015)

Application of Quantum Machine Learning to High Energy Physics Analysis at the LHC using Quantum Computer Simulators and Hardware
por: Wu, Sau Lan
Publicado: (2021)

Simulated annealing hardware tool
por: Niittylahti, J
Publicado: (1993)

Lossy Micromaser Battery: Almost Pure States in the Jaynes–Cummings Regime
por: Shaghaghi, Vahid, et al.
Publicado: (2023)

Information theoretical limits for quantum optimal control solutions: error scaling of noisy control channels
por: Müller, Matthias M., et al.
Publicado: (2022)

Mapping of Topological Quantum Circuits to Physical Hardware
por: Paler, Alexandru, et al.
Publicado: (2014)

Application of Quantum Machine Learning to High Energy Physics Analysis at LHC using IBM Quantum Computer Simulators and IBM Quantum Computer Hardware
por: Chan, Jay, et al.
Publicado: (2019)

Application of Quantum Machine Learning to High Energy Physics Analysis at LHC using IBM Quantum Computer Simulators and IBM Quantum Computer Hardware
por: Chan, Jay, et al.
Publicado: (2020)

Application of Quantum Machine Learning to High Energy Physics Analysis at LHC using IBM Quantum Computer Simulators and IBM Quantum Computer Hardware
por: Chan, Jay, et al.
Publicado: (2021)

Particle Transport Simulation on Heterogeneous Hardware
por: Koylazov, Vladimir
Publicado: (2014)

Hardware simulation kit for beam instrumentation
por: Lokhovitskiy, A, et al.
Publicado: (2005)

Platform for Real-Time Simulation of Dynamic Systems and Hardware-in-the-Loop for Control Algorithms
por: de Souza, Isaac D. T., et al.
Publicado: (2014)

Hardware efficient quantum algorithms for vibrational structure calculations
por: Ollitrault, Pauline J., et al.
Publicado: (2020)

Scaling quantum approximate optimization on near-term hardware
por: Lotshaw, Phillip C., et al.
Publicado: (2022)

Optimizing Silicon photomultipliers for Quantum Optics
por: Chesi, Giovanni, et al.
Publicado: (2019)

Dynamical structure factors of dynamical quantum simulators
por: Baez, Maria Laura, et al.
Publicado: (2020)

Solving dynamical systems in neuromorphic hardware: simulation studies using balanced spiking networks
por: Bulanova, Anna S, et al.
Publicado: (2013)

Optimal efficiency of the Q-cycle mechanism around physiological temperatures from an open quantum systems approach
por: Tacchino, Francesco, et al.
Publicado: (2019)

Co-simulation hardware/software in computer systems
por: Mora, F, et al.
Publicado: (1998)

Real-time cortical simulation on neuromorphic hardware
por: Rhodes, Oliver, et al.
Publicado: (2020)

Application of Quantum Machine Learning using the Quantum Variational Classifier Method to High Energy Physics Analysis at the LHC on IBM Quantum Computer Simulator and Hardware with 10 qubits
por: Wu, Sau Lan, et al.
Publicado: (2020)

We Heraeus Seminar 275 : Hardware Concepts For Quantum Computing
Publicado: (2002)

Specification of photonic circuits using quantum hardware description language
por: Tezak, Nikolas, et al.
Publicado: (2012)

The race for quantum supremacy: pushing the classical limit for photonic hardware
por: Spagnolo, Nicolò, et al.
Publicado: (2019)

Variational learning of quantum ground states on spiking neuromorphic hardware
por: Klassert, Robert, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_m6iijnf1o818ud8vldoflc0m5p