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Found 10 papers, 1 papers with code
Quantum Inception Score
Motivated by the great success of classical generative models in machine learning, enthusiastic exploration of their quantum version has recently started.
Quantum Noise-Induced Reservoir Computing
We demonstrate this ability in several typical benchmarks and investigate the information processing capacity to clarify the framework's processing mechanism and memory profile.
Overfitting in quantum machine learning and entangling dropout
The ultimate goal in machine learning is to construct a model function that has a generalization capability for unseen dataset, based on given training dataset.
A novel sustainable role of compost as a universal protective substitute for fish, chicken, pig, and cattle, and its estimation by structural equation modeling
Natural decomposition of organic matter is essential in food systems, and compost is used worldwide as an organic fermented fertilizer.
Pulse-engineered Controlled-V gate and its applications on superconducting quantum device
In this paper, we demonstrate that, by employing OpenPulse design kit for IBM superconducting quantum devices, the controlled-V gate (CV gate) can be implemented in about half the gate time to the controlled-X (CX or CNOT gate) and consequently 65. 5\% reduced gate time compared to the CX-based implementation of CV.
Quantum Physics
Wigner functions and quantum kinetic theory of polarized photons
Moreover, using the real-time formalism, we construct the quantum kinetic theory (QKT) for polarized photons.
High Energy Physics - Phenomenology High Energy Astrophysical Phenomena Other Condensed Matter High Energy Physics - Theory Nuclear Theory
Model-based approach for analyzing prevalence of nuclear cataracts in elderly residents
However, the prevalence of nuclear cataracts is higher in elderly people in tropical areas than in temperate areas.
Quantum self-learning Monte Carlo with quantum Fourier transform sampler
The self-learning Metropolis-Hastings algorithm is a powerful Monte Carlo method that, with the help of machine learning, adaptively generates an easy-to-sample probability distribution for approximating a given hard-to-sample distribution.
Quantum Physics
Temporal Information Processing on Noisy Quantum Computers
The combination of machine learning and quantum computing has emerged as a promising approach for addressing previously untenable problems.
Quantum functionalities via feedback amplification
Feedback amplification is a key technique for synthesizing various important functionalities, especially in electronic circuits involving op-amps.
Quantum Physics
