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Approximate quantum gates compiling with self-navigation algorithm

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Variational quantum simulation of long-range interacting systems

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Modularized and Scalable Compilation for Double Quantum Dot Quatum Computing

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Symmetry enhanced variational quantum spin eigensolver

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qubit-ADAPT-VQE: An adaptive algorithm for constructing hardware-efficient ansatze on a quantum processor

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Reachability Deficits in Quantum Approximate Optimization

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Microcanonical and finite-temperature ab initio molecular dynamics simulations on quantum computers

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Accelerated variational algorithms for digital quantum simulation of the many-body ground states

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Quantum generative adversarial networks

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An aritifical neuron implemented on an actual quantum processor

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Barren Plateaus in Quantum Neural Network Training Landscape

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Universal quantum state preparation via revised greedy algorithm

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When does reinforcement learning stand out in quantum control? A comparative study on state preparation

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Capacity and quantum geometry of parametrized quantum circuits

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Improving the Performance of Deep Quantum Optimization Algorithms with Continuous Gate Sets

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Deep reinforcement learning for universal quantum state preparation via dynamic pulse control

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Blind quantum machine learning based on quantum circuit model

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Quantum simulation with hybrid tensor networks

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Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation

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Stochastic gradient descent for hybrid quantum-classical optimization

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A hybrid classical-quantum approach for multi-class classification

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Variational Quantum Singular Value Deposition

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Grand Unification of Quantum Algorithms

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Variational ansatz-based quantum simulation of imaginary time evolution

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Variational Quantum Optimization with Multi-Basis Encodings

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Faking and Discriminating the Navigation Data of a Micro Aerial Vehicle Using Quantum Generative Adversarial Networks

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A Quantum Approximate Optimization Algorithm with Metalearning for MaxCut Problem and Its Simulation via TensorFlow Quantum

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A Parameter Initialization Method for Variational Quantum Algorithms to Mitigate Barren Plateaus Based on Transfer Learning

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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

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Koopman operator learning for accelerating quantum optimization and machine learning

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Equivalence Checking of Parameterized Quantum Circuit

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Avoiding Barren Plateaus Using Classical Shadows

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QAOA-in-QAOA: solving large-scale MaxCut problems on small quantum machines

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Towards Perturbation Theory Methods on a Quantum Computer

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Obstacles to State Preparation and Variational Optimization from Symmetry Protection

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Digitized-counterdiabatic quantum approximate optimization algorithm

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Quantum neural network classifiers: A tutorial

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Variational Quantum Eigensolver Ansatz for the J1-J2-model

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Quantum variational learning for entanglement witnessing

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Multiqubit state learning with entangling quantum generative adversarial networks

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A Classical-Quantum Convolutional Neural Network for Detecting Pneumonia from Chest Radiographs

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Variational Quantum Linear Solver

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Variational Quantum Factoring

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Image Compression and Classification Using Qubits and Quantum Deep Learning

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Simulation of Modular Exponentiation Circuit for Shor’s Algorithm in Qiskit

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Variational quantum algorithms for trace norms and their applications

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Quantum communication for wireless wide-area networks