https://github.com/txhaug/optimal-quantum-learning
공식 코드Optimal training of variational quantum algorithms without barren plateaus
Papers with Code 아카이브
Quantum Machine Learning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 2
- 보존된 평가 기록
- 2
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ucl-ccs/qsvdd
공식 코드A Parameter-Efficient Quantum Anomaly Detection Method on a Superconducting Quantum Processor
https://github.com/ukplab/arxiv2025-ham-classifier
공식 코드An Efficient Quantum Classifier Based on Hamiltonian Representations
https://github.com/um2ii/quantum-cxr
공식 코드https://github.com/vbelis/latent-ad-qml
공식 코드Quantum anomaly detection in the latent space of proton collision events at the LHC
https://github.com/veri-q/fairness
공식 코드https://github.com/vita-group/quantumsea
공식 코드QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits
https://github.com/viveksabale1998/Quantum-States-Data-Set
공식 코드Harnessing Quantum Support Vector Machines for Cross-Domain Classification of Quantum States
https://github.com/vsastray/LOCCNetcodes
공식 코드Practical distributed quantum information processing with LOCCNet
https://github.com/wangxinbiao08/transition-role-of-entangled-data-in-qml
공식 코드Transition Role of Entangled Data in Quantum Machine Learning
https://github.com/xanaduai/all-you-need-is-spin
공식 코드All you need is spin: SU(2) equivariant variational quantum circuits based on spin networks
https://github.com/xanaduai/qml-benchmarks
공식 코드Better than classical? The subtle art of benchmarking quantum machine learning models
https://github.com/ycchen1989/Var-QuantumCircuits-DeepRL
공식 코드Variational Quantum Circuits for Deep Reinforcement Learning
https://github.com/yiminghwang/qWGAN
공식 코드https://github.com/Alekxos/Quamodo
Quantum Neuron: an elementary building block for machine learning on quantum computers
https://github.com/Alexei-WLU/gpt-ocr-entropy-analysis
https://github.com/DicksonWu654/Hybrid-Quantum-Classical-Neural-Networks-for-Diabetic-Retinopathy
TensorFlow Quantum: A Software Framework for Quantum Machine Learning
https://github.com/Morcu/q-means
q-means: A quantum algorithm for unsupervised machine learning
https://github.com/PennyLaneAI/PennyLane-IonQ
PennyLane: Automatic differentiation of hybrid quantum-classical computations
https://github.com/PennyLaneAI/PennyLane-qsharp
PennyLane: Automatic differentiation of hybrid quantum-classical computations
https://github.com/PennyLaneAI/pennylane-aqt
PennyLane: Automatic differentiation of hybrid quantum-classical computations
https://github.com/PennyLaneAI/pennylane-cirq
PennyLane: Automatic differentiation of hybrid quantum-classical computations
https://github.com/PennyLaneAI/pennylane-forest
PennyLane: Automatic differentiation of hybrid quantum-classical computations
https://github.com/PennyLaneAI/pennylane-honeywell
PennyLane: Automatic differentiation of hybrid quantum-classical computations
https://github.com/PennyLaneAI/pennylane-lightning
PennyLane: Automatic differentiation of hybrid quantum-classical computations
https://github.com/PennyLaneAI/pennylane-orquestra
PennyLane: Automatic differentiation of hybrid quantum-classical computations
https://github.com/PennyLaneAI/pennylane-pq
PennyLane: Automatic differentiation of hybrid quantum-classical computations
https://github.com/PennyLaneAI/pennylane-qiskit
PennyLane: Automatic differentiation of hybrid quantum-classical computations
https://github.com/PennyLaneAI/pennylane-qulacs
PennyLane: Automatic differentiation of hybrid quantum-classical computations
https://github.com/PennyLaneAI/pennylane-sf
PennyLane: Automatic differentiation of hybrid quantum-classical computations
https://github.com/RB609/QML
TensorFlow Quantum: A Software Framework for Quantum Machine Learning
https://github.com/XanaduAI/PennyLane-qsharp
PennyLane: Automatic differentiation of hybrid quantum-classical computations
https://github.com/XanaduAI/pennylane
Better than classical? The subtle art of benchmarking quantum machine learning models
https://github.com/XanaduAI/pennylane-aqt
PennyLane: Automatic differentiation of hybrid quantum-classical computations
https://github.com/XanaduAI/pennylane-cirq
PennyLane: Automatic differentiation of hybrid quantum-classical computations
https://github.com/XanaduAI/pennylane-honeywell
PennyLane: Automatic differentiation of hybrid quantum-classical computations
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.