100 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Akihisa Koga9 · h 5
- Kazuki Yamamoto2 profiles8 · h 4
- Hiroya Nakao2 profiles7 · h 5
- Masayuki Ohzeki2 profiles6 · h 25
- H. Nishimori5 · h 36
- S. Horiuchi5 · h 38
- Yusuke Nishida2 profiles5 · h 3
- Manaka Okuyama4 · h 5
- Masaki Uchida2 profiles4 · h 5
- Riccardo Muolo4 · h 14
- Shuichi Murakami2 profiles4 · h 4
- A. Nakamura3 · h 3
- The University of TokyoJP65 papers
- Tohoku UniversityJP34 papers
- Kyoto UniversityJP28 papers
- Tokyo Institute of TechnologyJP24 papers
- Osaka Metropolitan UniversityJP20 papers
- High Energy Accelerator Research OrganizationJP19 papers
- Hiroshima UniversityJP19 papers
- Tokyo University of ScienceJP18 papers
- National Astronomical Observatory of JapanJP17 papers
- Rutherford Appleton LaboratoryGB17 papers
- Universidad Autónoma de MadridES17 papers
- University of WarwickGB17 papers
13 papers · 1 filter
Concatenated continuous driving of silicon qubit by amplitude and phase modulation
Takuma Kuno, Takeru Utsugi, Andrew J. Ramsay +22
The rate of coherence loss is lower for a qubit under the Rabi drive than a freely evolving qubit . Building on this principle, concatenated continuous d…
Breaking the Orthogonality Barrier in Quantum LDPC Codes
Kenta Kasai
Classical low-density parity-check (LDPC) codes are a widely deployed and well-established technology, forming the backbone of modern communication and storage systems. It is well…
Quantum reservoir computing for predicting and characterizing chaotic maps
Qingyu Li, Chiranjib Mukhopadhyay, Ludovico Minati +1
Quantum reservoir computing has emerged as a promising paradigm for harnessing quantum systems to process temporal data efficiently by bypassing the costly training of gradient-bas…
Matrix-product-state approach for qubits-waveguide systems in real space
Shimpei Goto
We present a matrix-product-state-based numerical approach for simulating systems composed of several qubits and a common one-dimensional waveguide. In the presented approach, the…
Phase Transitions in Nonreciprocal Driven-Dissipative Condensates
Ron Belyansky, Cheyne Weis, Ryo Hanai +2
We investigate the influence of boundaries and spatial nonreciprocity on nonequilibrium driven-dissipative phase transitions. We focus on a one-dimensional lattice of nonlinear bos…
Transfer Learning for Deep-Unfolded Combinatorial Optimization Solver with Quantum Annealer
Ryo Hagiwara, Shunta Arai, Satoshi Takabe
Quantum annealing (QA) has attracted research interest as a sampler and combinatorial optimization problem (COP) solver. A recently proposed sampling-based solver for QA significan…
Subgradient Method using Quantum Annealing for Inequality-Constrained Binary Optimization Problems
Taisei Takabayashi, Takeru Goto, Masayuki Ohzeki
Quantum annealing is a generic solver for combinatorial optimization problems that utilizes quantum fluctuations. Recently, there has been extensive research applying quantum annea…
Cancellation of phonon hopping in trapped ions by modulation of the trap potential
Takanori Nishi, Kaoru Yamanouchi, Ryoichi Saito +1
The local modes of trapped ions can be used to construct an analog quantum simulator and a digital quantum computer. However, the control of the phonon hopping remains difficult be…
Deep Unfolded Local Quantum Annealing
Shunta Arai, Satoshi Takabe
Local quantum annealing (LQA), an iterative algorithm, is designed to solve combinatorial optimization problems. It draws inspiration from QA, which utilizes adiabatic time evoluti…
Labeling eigenstates of qubit-cavity systems based on the continuity of qubit occupancy: Detecting resonances to higher excited qubit states
Shimpei Goto, Kazuki Koshino
We propose a new method for labeling the eigenstates of qubit-cavity systems based on the continuity of the qubit occupancy. The labeled eigenstates give a rough estimate of the ev…
Universal scaling hypothesis of quantum spatial search in complex networks
Rei Sato, Tetsuro Nikuni, Kayoko Nohara +2
Since quantum spatial searches on complex networks have a strong network dependence, the question arises whether the universal perspective exists in this quantum algorithm for comp…
Kernel Learning by quantum annealer
Yasushi Hasegawa, Hiroki Oshiyama, Masayuki Ohzeki
The Boltzmann machine is one of the various applications using quantum annealer. We propose an application of the Boltzmann machine to the kernel matrix used in various machine-lea…
Graph minor embedding can affect sampling degenerate ground states using quantum annealing
Naoki Maruyama, Masayuki Ohzeki, Kazuyuki Tanaka
Quantum annealing, as currently implemented in hardware, cannot fairly sample all ground states. Graph minor embedding, which maps a problem to the hardware graph of quantum anneal…