donghufeng / research

MindQuantum Research

Research based on MindQuantum

Paper and its implement

Paper	Implement
Approximate quantum gates compiling with self-navigation algorithm	URL
Variational quantum simulation of long-range interacting systems	URL
Modularized and Scalable Compilation for Double Quantum Dot Quatum Computing	URL
Symmetry enhanced variational quantum spin eigensolver	URL
Variational Quantum Ciruits Enhanced Generative Adversarial Network	URL
qubit-ADAPT-VQE: An adaptive algorithm for constructing hardware-efficient ansatze on a quantum processor	URL
Reachability Deficits in Quantum Approximate Optimization	URL
Microcanonical and finite-temperature ab initio molecular dynamics simulations on quantum computers	URL
Accelerated variational algorithms for digital quantum simulation of the many-body ground states	URL
Quantum generative adversarial networks	URL
An aritifical neuron implemented on an actual quantum processor	URL
Barren Plateaus in Quantum Neural Network Training Landscape	URL
Universal quantum state preparation via revised greedy algorithm	URL
When does reinforcement learning stand out in quantum control? A comparative study on state preparation	URL
Capacity and quantum geometry of parametrized quantum circuits	URL
Improving the Performance of Deep Quantum Optimization Algorithms with Continuous Gate Sets	URL
Deep reinforcement learning for universal quantum state preparation via dynamic pulse control	URL
Blind quantum machine learning based on quantum circuit model	URL
Quantum simulation with hybrid tensor networks	URL
Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation	URL
Stochastic gradient descent for hybrid quantum-classical optimization	URL
A hybrid classical-quantum approach for multi-class classification	URL
Variational Quantum Singular Value Deposition	URL1, URL2
Grand Unification of Quantum Algorithms	URL
Variational ansatz-based quantum simulation of imaginary time evolution	URL
Variational Quantum Optimization with Multi-Basis Encodings	URL1, URL2, URL3
Faking and Discriminating the Navigation Data of a Micro Aerial Vehicle Using Quantum Generative Adversarial Networks	URL1,URL2
A Quantum Approximate Optimization Algorithm with Metalearning for MaxCut Problem and Its Simulation via TensorFlow Quantum	URL1,URL2,URL3
A Parameter Initialization Method for Variational Quantum Algorithms to Mitigate Barren Plateaus Based on Transfer Learning	URL1,URL2
An Application of Quantum Machine Learning on Quantum Correlated Systems: Quantum Convolutional Neural Network as a Classifier for Many-Body Wavefunctions from the Quantum Variational Eigensolver	URL1,URL2,URL3,URL4,URL5
Koopman operator learning for accelerating quantum optimization and machine learning	URL
Equivalence Checking of Parameterized Quantum Circuit	URL
Avoiding Barren Plateaus Using Classical Shadows	URL
QAOA-in-QAOA: solving large-scale MaxCut problems on small quantum machines	URL
Towards Perturbation Theory Methods on a Quantum Computer	URL
Obstacles to State Preparation and Variational Optimization from Symmetry Protection	URL
Digitized-counterdiabatic quantum approximate optimization algorithm	URL
Quantum neural network classifiers: A tutorial	URL
Variational Quantum Eigensolver Ansatz for the J1-J2-model	URL
Quantum variational learning for entanglement witnessing	URL
Multiqubit state learning with entangling quantum generative adversarial networks	URL
A Classical-Quantum Convolutional Neural Network for Detecting Pneumonia from Chest Radiographs	URL
Variational Quantum Linear Solver	URL
Variational Quantum Factoring	URL
Image Compression and Classification Using Qubits and Quantum Deep Learning	URL
Simulation of Modular Exponentiation Circuit for Shor’s Algorithm in Qiskit	URL
Variational quantum algorithms for trace norms and their applications	URL
Quantum communication for wireless wide-area networks	URL