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Found 9 papers, 2 papers with code
Quantum Machine Learning Implementations: Proposals and Experiments
This article gives an overview and a perspective of recent theoretical proposals and their experimental implementations in the field of quantum machine learning.
An approach to interfacing the brain with quantum computers: practical steps and caveats
At the time of writing, available quantum computing hardware and brain activity sensing technology are not sufficiently developed for real-time control of quantum states with the brain.
One-photon Solutions to Multiqubit Multimode quantum Rabi model
General solutions to the quantum Rabi model involve subspaces with unbounded number of photons.
Quantum Physics Optics
Quantum machine learning and quantum biomimetics: A perspective
Quantum machine learning has emerged as an exciting and promising paradigm inside quantum technologies.
Towards Pricing Financial Derivatives with an IBM Quantum Computer
Pricing interest-rate financial derivatives is a major problem in finance, in which it is crucial to accurately reproduce the time-evolution of interest rates.
Quantum Physics Mesoscale and Nanoscale Physics
Experimental Implementation of a Quantum Autoencoder via Quantum Adders
Quantum autoencoders allow for reducing the amount of resources in a quantum computation by mapping the original Hilbert space onto a reduced space with the relevant information.
A Quantum Algorithm for Solving Linear Differential Equations: Theory and Experiment
We present and experimentally realize a quantum algorithm for efficiently solving the following problem: given an $N\times N$ matrix $\mathcal{M}$, an $N$-dimensional vector $\textbf{\emph{b}}$, and an initial vector $\textbf{\emph{x}}(0)$, obtain a target vector $\textbf{\emph{x}}(t)$ as a function of time $t$ according to the constraint $d\textbf{\emph{x}}(t)/dt=\mathcal{M}\textbf{\emph{x}}(t)+\textbf{\emph{b}}$.
Quantum Physics
Basic protocols in quantum reinforcement learning with superconducting circuits
Superconducting circuit technologies have recently achieved quantum protocols involving closed feedback loops.
Supervised Quantum Learning without Measurements
We propose a quantum machine learning algorithm for efficiently solving a class of problems encoded in quantum controlled unitary operations.
