975 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- The University of TokyoJP429 papers
- Kyoto UniversityJP151 papers
- RIKENJP142 papers
- Tokyo Institute of TechnologyJP134 papers
- High Energy Accelerator Research OrganizationJP100 papers
- Tohoku UniversityJP100 papers
- Nagoya UniversityJP97 papers
- The University of OsakaJP96 papers
- Tokyo University of ScienceJP90 papers
- Japan Science and Technology AgencyJP68 papers
- UNSW SydneyAU63 papers
- Centre National de la Recherche ScientifiqueFR62 papers
20 papers · 2 filters
Symmetries and Synchronization Blockade
Parvinder Solanki, Faraz Mohd Mehdi, Michal Hajdušek +1
Synchronization blockade refers to an interferometric cancellation of quantum synchronization. In this manuscript, we show how the choice of synchronization measure and Hamiltonian…
Efficient Dicke state generation in a network of lossy channels
Wojciech Roga, Rikizo Ikuta, Tomoyuki Horikiri +1
We analyze the generation of entanglement in a multipartite optical network. We generalize the twin-field strategy to the multipartie case and show that our protocol has advantageo…
Approximate complex amplitude encoding algorithm and its application to data classification problems
Naoki Mitsuda, Tatsuhiro Ichimura, Kouhei Nakaji +6
Quantum computing has a potential to accelerate the data processing efficiency, especially in machine learning, by exploiting special features such as the quantum interference. The…
Generative model for learning quantum ensemble via optimal transport loss
Hiroyuki Tezuka, Shumpei Uno, Naoki Yamamoto
Generative modeling is an unsupervised machine learning framework, that exhibits strong performance in various machine learning tasks. Recently we find several quantum version of g…
Quantum-enhanced mean value estimation via adaptive measurement
Kaito Wada, Kazuma Fukuchi, Naoki Yamamoto
Quantum-enhanced (i.e., higher performance by quantum effects than any classical methods) mean value estimation of observables is a fundamental task in various quantum technologies…
Generating quantum entanglement between macroscopic objects with continuous measurement and feedback control
Daisuke Miki, Nobuyuki Matsumoto, Akira Matsumura +4
This study is aimed at investigating the feasibility of generating quantum entanglement between macroscopic mechanical mirrors in optomechanical systems while under continuous meas…
Perturbation theory with quantum signal processing
Kosuke Mitarai, Kiichiro Toyoizumi, Wataru Mizukami
Perturbation theory is an important technique for reducing computational cost and providing physical insights in simulating quantum systems with classical computers. Here, we provi…
Sequential optimal selection of a single-qubit gate and its relation to barren plateau in parameterized quantum circuits
Kaito Wada, Rudy Raymond, Yuki Sato +1
We propose an algorithm for variational quantum algorithms (VQAs) to optimize the structure of parameterized quantum circuits (PQCs) efficiently. The algorithm optimizes the PQC st…
Jarzynski-like Equality of Nonequilibrium Information Production Based on Quantum Cross Entropy
Akira Sone, Naoki Yamamoto, Tharon Holdsworth +1
The two-time measurement scheme is well studied in the context of quantum fluctuation theorem. However, it becomes infeasible when the random variable determined by a single measur…
Demonstration of a bosonic quantum classifier with data re-uploading
Takafumi Ono, Wojciech Roga, Kentaro Wakui +4
In a single qubit system, a universal quantum classifier can be realised using the data-reuploading technique. In this study, we propose a new quantum classifier applying this tech…
Topological Speed Limit
Tan Van Vu, Keiji Saito
Any physical system evolves at a finite speed that is constrained not only by the energetic cost but also by the topological structure of the underlying dynamics. In this Letter, b…
Measurement Induced Continuous Time Crystals
Midhun Krishna, Parvinder Solanki, Michal Hajdušek +1
Strong measurements usually restrict the dynamics of measured finite dimensional systems to the Zeno subspace, where subsequent evolution is unitary due to the suppression of dissi…
Temperature Sensing with RF-Dressed States of Nitrogen-Vacancy Centers in Diamond
H. Tabuchi, Y. Matsuzaki, N. Furuya +5
Nitrogen vacancy (NV) centers in diamond are promising systems for realizing sensitive temperature sensors. Pulsed optically detected magnetic resonance (Pulsed-ODMR) is one of the…
A Tool For Debugging Quantum Circuits
Sara Ayman Metwalli, Rodney Van Meter
As the scale of quantum programs grows to match that of classical software, the nascent field of quantum software engineering must mature and tools such as debuggers will become in…
Amplitude Amplification for Optimization via Subdivided Phase Oracle
Naphan Benchasattabuse, Takahiko Satoh, Michal Hajdušek +1
We propose an algorithm using a modified variant of amplitude amplification to solve combinatorial optimization problems via the use of a subdivided phase oracle. Instead of dividi…
Overfitting in quantum machine learning and entangling dropout
Masahiro Kobayashi, Kouhei Nakaji, Naoki Yamamoto
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. If the model functi…
Numerical analysis of quantum circuits for state preparation and unitary operator synthesis
Sahel Ashhab, Naoki Yamamoto, Fumiki Yoshihara +1
We perform optimal-control-theory calculations to determine the minimum number of two-qubit CNOT gates needed to perform quantum state preparation and unitary operator synthesis fo…
Floquet engineering using pulse driving in a diamond two-level system under a large-amplitude modulation
Shunsuke Nishimura, Kohei M. Itoh, Junko Ishi-Hayase +2
The nitrogen-vacancy (NV) center in a diamond is a promising platform for Floquet engineering. Using the synchronized readout, we investigate the NV center's Floquet state driven b…
Expressivity of Variational Quantum Machine Learning on the Boolean Cube
Dylan Herman, Rudy Raymond, Muyuan Li +3
Categorical data plays an important part in machine learning research and appears in a variety of applications. Models that can express large classes of real-valued functions on th…
Efficient quantum readout-error mitigation for sparse measurement outcomes of near-term quantum devices
Bo Yang, Rudy Raymond, Shumpei Uno
The readout error on near-term quantum devices is one of the dominant noise factors, which can be mitigated by classical postprocessing called quantum readout error mitigation (QRE…