Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Basic protocols in quantum reinforcement learning with superconducting circuits
Reinforcement Learning Using Quantum Boltzmann Machines
An Efficient Methodology for Mapping Quantum Circuits to the IBM QX Architectures
An Experimental Microarchitecture for a Superconducting Quantum Processor
High Performance Emulation of Quantum Circuits
Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers
Quantum circuits with mixed states
Bayesian Deep Learning on a Quantum Computer
Transformation rules for designing CNOT-based quantum circuits
Quantum advantage with shallow circuits
Universal discriminative quantum neural networks
Q WIRE : A QRAM-Inspired Quantum Circuit Language
Quantum Codes from Neural Networks
Dense Coding in Experimental Quantum Communication
Adiabatic Quantum Computation Applied to Deep Learning Networks
Simulating quantum computers with probabilistic methods
Optimizing Quantum Circuits for Arithmetic
Secure assisted quantum computation
Learning with Errors is easy with quantum samples
Machine learning \&artificial intelligence in the quantum domain
Quantum Computation and Quantum Information
Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans
Detection of copy-rotate-move forgery using Zernike moments
Optimizing Space Amplification in RocksDB
Applying reinforcement learning for web pages ranking algorithms
Conflict-Probability-Estimation-Based Overtaking for Intelligent Vehicles