5 papers
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…
Boosting computational power through spatial multiplexing in quantum reservoir computing
Kohei Nakajima, Keisuke Fujii, Makoto Negoro +2
Quantum reservoir computing provides a framework for exploiting the natural dynamics of quantum systems as a computational resource. It can implement real-time signal processing an…
Quantum Circuit Learning
Kosuke Mitarai, Makoto Negoro, Masahiro Kitagawa +1
We propose a classical-quantum hybrid algorithm for machine learning on near-term quantum processors, which we call quantum circuit learning. A quantum circuit driven by our framew…