1.6k citations · 2.1k across the 18 of their papers we have counts for
18 papers
Learning temporal data with variational quantum recurrent neural network
Yuto Takaki, Kosuke Mitarai, Makoto Negoro +2
We propose a method for learning temporal data using a parametrized quantum circuit. We use the circuit that has a similar structure as the recurrent neural network which is one of…
Experimental quantum kernel machine learning with nuclear spins in a solid
Takeru Kusumoto, Kosuke Mitarai, Keisuke Fujii +2
We employ so-called quantum kernel estimation to exploit complex quantum dynamics of solid-state nuclear magnetic resonance for machine learning. We propose to map an input to a fe…
Low power, fast and broadband ESR quantum control using a stripline resonator
Yung Szen Yap, Makoto Negoro, Mayuko Kuno +3
Using a home-built Ku band ESR spectrometer equipped with an arbitrary waveform generator and a stripline resonator, we implement two types of pulses that would benefit quantum com…
Long-lived state in a four-spin system hyperpolarized at room temperature
Koichiro Miyanishi, Naoki Ichijo, Makoto Motoyama +3
A solution with hyperpolarized nuclear spins encoded into a long-lived state has been utilized for sensing chemical phenomena. In a conventional way, nuclear spins are hyperpolariz…
Nuclear magnetic resonance spectroscopy with a superconducting flux qubit
Koichiro Miyanishi, Yuichiro Matsuzaki, Hiraku Toida +4
We theoretically analyze the performance of the nuclear magnetic resonance (NMR) spectroscopy with a superconducting flux qubit (FQ). Such NMR with the FQ is attractive because of…
Machine learning with controllable quantum dynamics of a nuclear spin ensemble in a solid
Makoto Negoro, Kosuke Mitarai, Keisuke Fujii +2
We experimentally demonstrate quantum machine learning using NMR based on a framework of quantum reservoir computing. Reservoir computing is for exploiting natural nonlinear dynami…