|
gptkbp:instance_of
|
gptkb:Quantum_Computing
gptkb:neural_networks
|
|
gptkbp:benefits
|
gptkb:Speed
Parallelism
|
|
gptkbp:challenges
|
Noise
Decoherence
Resource Constraints
Algorithm Complexity
Lack of Understanding
Limited Quantum Resources
|
|
gptkbp:developed_by
|
gptkb:vehicles
gptkb:researchers
Complex Systems
Academic Institutions
Real-World Applications
Tech Companies
High-Dimensional Data
|
|
gptkbp:has_applications_in
|
gptkb:machine_learning
Quantum Information Processing
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Quantum Neural Networks
|
|
gptkbp:is_compared_to
|
gptkb:Classical_Neural_Networks
gptkb:Support_Vector_Machines
gptkb:Decision_Trees
gptkb:Random_Forests
Deep Learning Models
|
|
gptkbp:is_evaluated_by
|
Accuracy
Efficiency
Performance Metrics
Scalability
User Studies
Benchmarking Techniques
|
|
gptkbp:is_explored_in
|
gptkb:Workshops
Conferences
Online Courses
Research Papers
Interdisciplinary Research
Theoretical Computer Science
Quantum Physics
Theses
|
|
gptkbp:is_implemented_in
|
gptkb:Quantum_Circuits
|
|
gptkbp:is_influenced_by
|
gptkb:Quantum_Mechanics
Neuroscience
|
|
gptkbp:is_promising_for
|
gptkb:Natural_Language_Processing
gptkb:Cybersecurity
gptkb:Pattern_Recognition
gptkb:robotics
Image Processing
Optimization Problems
Real-Time Processing
Data Classification
|
|
gptkbp:is_related_to
|
Quantum Algorithms
|
|
gptkbp:is_research_field
|
gptkb:Quantum_Computing
|
|
gptkbp:is_supported_by
|
Collaborative Research
Government Funding
Private Investment
Quantum Hardware
Quantum Software
|
|
gptkbp:is_used_in
|
gptkb:pharmaceuticals
gptkb:Artificial_Intelligence
Climate Modeling
Financial Modeling
|
|
gptkbp:requires
|
gptkb:Quantum_Computing
gptkb:Quantum_Bits_(Qubits)
|
|
gptkbp:training
|
Quantum Gradient Descent
|
|
gptkbp:bfsParent
|
gptkb:Quantum_Computing
|
|
gptkbp:bfsLayer
|
3
|