quantum-classical

There are 0 repository under quantum-classical topic.

NQCD / NQCDynamics.jl
Fast and flexible nonadiabatic molecular dynamics in Julia!
nonadiabatic molecular-dynamics semi-classical quantum-classical monte-carlo physics-simulation
Language:Julia 55
votca / xtp
GW-BSE for excited state Quantum Chemistry in a Gaussian Orbital basis, electronic spectroscopy with QM/MM, charge and energy dynamics in complex molecular systems
quantum-chemistry gw-bse quantum-classical excited-states multiscale-simulation computational-physics computational-chemistry
29
oqc-community / rasqal
A dynamically executed quantum-classical hybrid runtime.
llvm python quantum quantum-classical quantum-computing quantum-computing-research runtime rust
Language:Rust 9
PlanQK / variational-quanvolutional-neural-networks
The official code repository for "Variational Quanvolutional Neural Networks with enhanced image encoding", https://arxiv.org/abs/2106.07327
mnist quantum-classical quantum-computing
Language:Jupyter Notebook 9
userr2232 / classical_to_quantum
A tutorial on classical to quantum transfer learning by Xanadu AI
quantum-classical pennylane pytorch transfer-learning
Language:Jupyter Notebook 4
ericyoc / cnn_hnn_comparison_analysis_poc
A comparison analysis between classical and quantum-classical (or hybrid) neural network and the impact effectiveness of a compound adversarial attack.
adversarial-attacks hybrid-neural-network quantum-classical white-box-attacks targetted-attacks
Language:Jupyter Notebook 2
melipass / qosf-task
DDQCL implementation using Qiskit. Variational quantum circuit that maps a randomly generated set of four 4-qubit input states to four 4-qubit output states. Circuit parameters are refined over time to get the lowest cost parameter set.
quantum-computing quantum-machine-learning variational-quantum-circuits variational-quantum-circuit ddqcl quantum-classical machine-learning qiskit quantum-circuit quantum-circuit-learning
Language:Jupyter Notebook 1
ericyoc / hnn_attack_three_diff_defense_choices_poc
Hybrid neural network is protected against adversarial attacks using various defense techniques, including input transformation, randomization, and adversarial training.
adversarial-training compounded-attacks differential-privacy hybrid-neural-network image-quilting quantum-classical random-cropping random-rotation randomization-defense targetted-attacks white-box-attacks adversarial-logit-pairing input-transformation-defense random-resizing-and-padding
Language:Jupyter Notebook
ericyoc / hnn_attack_two_diff_defense_choices_poc
Hybrid neural network model is protected against adversarial attacks using either adversarial training or randomization defense techniques
adversarial-attacks adversarial-training classification-models emnist-dataset hybrid-neural-network mnist-dataset quantum-classical random-rotation targetted-attacks white-box-attacks combined-randomization compounded-attacks random-cropping random-resizing randomization-defense
Language:Jupyter Notebook
ericyoc / quantinuum-hnn-compound-adv-attack-poc
A quantum-classical (or hybrid) neural network and the use of a adversarial attack mechanism. The core libraries employed are Quantinuum pytket and pytket-qiskit. torchattacks is used for the white-box, targetted, compounded adversarial attacks.
adversarial-attacks hybrid-neural-network mnist-dataset quantinuum quantum-classical targetted-attacks white-box-attacks compounded-adversarial-attack pytket torchattacks pytket-qiskit
Language:Jupyter Notebook

quantum-classical

NQCD / NQCDynamics.jl

votca / xtp

oqc-community / rasqal

PlanQK / variational-quanvolutional-neural-networks

userr2232 / classical_to_quantum

ericyoc / cnn_hnn_comparison_analysis_poc

melipass / qosf-task

ericyoc / hnn_attack_three_diff_defense_choices_poc

ericyoc / hnn_attack_two_diff_defense_choices_poc

ericyoc / quantinuum-hnn-compound-adv-attack-poc