Cover Image

Learning to learn with an evolutionary strategy applied to variational quantum algorithms

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Friedrich, Lucas, Maziero, Jonas
Format:	Preprint
Published:	2023
Subjects:	Quantum Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Quantum neural network with ensemble learning to mitigate barren plateaus and cost function concentration
by: Friedrich, Lucas, et al.
Published: (2024)

A short review on qudit quantum machine learning
by: Farias, Tiago de Souza, et al.
Published: (2025)

Restricting to the chip architecture maintains the quantum neural network accuracy
by: Friedrich, Lucas, et al.
Published: (2022)

A variational quantum algorithm for entanglement quantification
by: Friedrich, Lucas, et al.
Published: (2025)

Preparing general mixed quantum states on quantum computers
by: Pinto, Douglas F., et al.
Published: (2024)

Non-binary artificial neuron with phase variation implemented on a quantum computer
by: de Borba, Jhordan Silveira, et al.
Published: (2024)

QuForge: A Library for Qudits Simulation
by: Farias, Tiago de Souza, et al.
Published: (2024)

Barren plateaus are amplified by the dimension of qudits
by: Friedrich, Lucas, et al.
Published: (2024)

Digital quantum simulation of bosonic systems and quantum complementarity
by: Brasil, Victor P., et al.
Published: (2025)

Using quantum computers to identify prime numbers via entanglement dynamics
by: Santos, Victor F. dos, et al.
Published: (2024)

Entanglement swapping for partially entangled qudits and the role of quantum complementarity
by: Starke, Diego S., et al.
Published: (2025)

Equivalence between exponential concentration in quantum machine learning kernels and barren plateaus in variational algorithms
by: Kairon, Pranav, et al.
Published: (2025)

Hybrid model of the kernel method for quantum computers
by: de Borba, Jhordan Silveira, et al.
Published: (2024)

Hartman Effect from a Geometrodynamic Extension of Bohmian Mechanics
by: Lantigua, Said, et al.
Published: (2024)

Work distribution of quantum fields in static curved spacetimes
by: Costa, Rafael L. S., et al.
Published: (2025)

Designing lattice proteins with variational quantum algorithms
by: Linn, Hanna, et al.
Published: (2025)

Quantum fluctuation theorem in a curved spacetime
by: Basso, Marcos L. W., et al.
Published: (2024)

Efficient detection of localization transitions using predictability
by: Pernambuco, Tiago, et al.
Published: (2025)

Entanglement distribution in quantum networks via swapping of partially entangled pure states
by: Guerra, Henrique, et al.
Published: (2025)

Correlating Local Quantum Reality with Causally Disconnected Choices
by: Starke, Diego S., et al.
Published: (2023)

Cascaded variational quantum eigensolver algorithm
by: Gunlycke, Daniel, et al.
Published: (2023)

Learning quantum symmetries with interactive quantum-classical variational algorithms
by: Lu, Jonathan Z., et al.
Published: (2022)

Reinforcement learning-assisted quantum architecture search for variational quantum algorithms
by: Kundu, Akash
Published: (2024)

Quantifying the advantages of applying quantum approximate algorithms to portfolio optimisation
by: Yuan, Haomu, et al.
Published: (2024)

An Updated Quantum Complementarity Principle
by: Starke, Diego S., et al.
Published: (2023)

Efficient fidelity estimation: Alternative derivation and related applications
by: Starke, Diego S., et al.
Published: (2023)

Finding eigenvectors with a quantum variational algorithm
by: Garcia-Escartin, Juan Carlos
Published: (2023)

Neural network encoded variational quantum algorithms
by: Miao, Jiaqi, et al.
Published: (2023)

Perturbative variational quantum algorithms for material simulations
by: Liu, Jie, et al.
Published: (2024)

Undecidable problems associated with variational quantum algorithms
by: Korpas, Georgios, et al.
Published: (2025)

Quantum circuit evolutionary framework applied on set partitioning problem
by: Fernandez, Bruno Oziel, et al.
Published: (2025)

Performance analysis of a filtering variational quantum algorithm
by: Marin-Sanchez, Gabriel, et al.
Published: (2024)

Statistical analysis of barren plateaus in variational quantum algorithms
by: Ho, Le Bin, et al.
Published: (2025)

Dissipative variational quantum algorithms for Gibbs state preparation
by: Ilin, Yigal, et al.
Published: (2024)

Hardware-efficient variational quantum algorithm in trapped-ion quantum computer
by: Zhuang, J. -Z., et al.
Published: (2024)

Unveiling quantum phase transitions from traps in variational quantum algorithms
by: Cao, Chenfeng, et al.
Published: (2024)

A circuit-generated quantum subspace algorithm for the variational quantum eigensolver
by: Hirsbrunner, Mark R., et al.
Published: (2024)

Gravitational-wave matched filtering with variational quantum algorithms
by: Pye, Jason, et al.
Published: (2024)

Potential of quantum scientific machine learning applied to weather modelling
by: Jaderberg, Ben, et al.
Published: (2024)

Hamiltonian-based graph-state ansatz for variational quantum algorithms
by: Anand, Abhinav, et al.
Published: (2023)