Optimized low-depth quantum circuits for molecular electronic structure using a separable-pair approximation
We present a classically tractable model that leads to optimized low-depth quantum circuits
leveraging separable-pair approximations. The obtained circuits are well suited as a …
leveraging separable-pair approximations. The obtained circuits are well suited as a …
Federated quantum neural network with quantum teleportation for resource optimization in future wireless communication
The following study introduces FT-QNN, a federated and quantum teleportation–based
quantum neural network, utilized to optimize resource allocation for future wireless …
quantum neural network, utilized to optimize resource allocation for future wireless …
Certifying out-of-domain generalization for blackbox functions
Certifying the robustness of model performance under bounded data distribution drifts has
recently attracted intensive interest under the umbrella of distributional robustness …
recently attracted intensive interest under the umbrella of distributional robustness …
Certified robustness of quantum classifiers against adversarial examples through quantum noise
Recently, quantum classifiers have been known to be vulnerable to adversarial attacks,
where quantum classifiers are fooled by imperceptible noises to have misclassification. In …
where quantum classifiers are fooled by imperceptible noises to have misclassification. In …
Quantum conformal prediction for reliable uncertainty quantification in quantum machine learning
Quantum machine learning is a promising programming paradigm for the optimization of
quantum algorithms in the current era of noisy intermediate-scale quantum computers. A …
quantum algorithms in the current era of noisy intermediate-scale quantum computers. A …
The advent of fully variational quantum eigensolvers using a hybrid multiresolution approach
In electronic structure theory, variational computing offers a valuable paradigm for the
approximation of electronic ground states. However, for historical reasons, this principle is …
approximation of electronic ground states. However, for historical reasons, this principle is …
Variational quantum eigenvalue solver algorithm utilizing bridge-inspired quantum circuits and a gradient filter module
G Wu, D Huang, F Shuang, F Gao - Computer Physics Communications, 2024 - Elsevier
The complexity of theoretical simulation for drug molecule synthesis increases exponentially
with the growth in system dimensions, posing a challenging task for precise solutions …
with the growth in system dimensions, posing a challenging task for precise solutions …