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Variational Quantum Gate Optimization
Kentaro Heya, Yasunari Suzuki, Yasunobu Nakamura +1
We propose a gate optimization method, which we call variational quantum gate optimization (VQGO). VQGO is a method to construct a target multi-qubit gate by optimizing a parametri…
Generalization of the output of variational quantum eigensolver by parameter interpolation with low-depth ansatz
Kosuke Mitarai, Tennin Yan, Keisuke Fujii
The variational quantum eigensolver (VQE) is an attracting possible application of near-term quantum computers. Originally, the aim of the VQE is to find a ground state for a given…
Subspace-search variational quantum eigensolver for excited states
Ken M Nakanishi, Kosuke Mitarai, Keisuke Fujii
The variational quantum eigensolver (VQE), a variational algorithm to obtain an approximated ground state of a given Hamiltonian, is an appealing application of near-term quantum c…
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…
Quantum Analog-Digital Conversion
Kosuke Mitarai, Masahiro Kitagawa, Keisuke Fujii
Many quantum algorithms, such as Harrow-Hassidim-Lloyd (HHL) algorithm, depend on oracles that efficiently encode classical data into a quantum state. The encoding of the data can…
Quantum speedup in stoquastic adiabatic quantum computation
Keisuke Fujii
Quantum computation provides exponential speedup for solving certain mathematical problems against classical computers. Motivated by current rapid experimental progress on quantum…