A5055647978- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Magnetic confinement fusion research
- Quantum and electron transport phenomena
- Quantum Mechanics and Applications
- Neural Networks and Reservoir Computing
- Atomic and Molecular Physics
- Laser-induced spectroscopy and plasma
- Plasma Diagnostics and Applications
- Gas Dynamics and Kinetic Theory
- Quantum-Dot Cellular Automata
- Quantum many-body systems
- Computational Fluid Dynamics and Aerodynamics
- Fluid Dynamics and Turbulent Flows
- Fusion materials and technologies
- Ionosphere and magnetosphere dynamics
- Particle accelerators and beam dynamics
- Renewable energy and sustainable power systems
- Sports Analytics and Performance
- Building energy efficiency and sustainability
- Advanced Memory and Neural Computing
- Advancements in Semiconductor Devices and Circuit Design
- Neural Networks and Applications
- X-ray Spectroscopy and Fluorescence Analysis
- Laser-Plasma Interactions and Diagnostics
RIKEN Center for Quantum Computing
2021-2025
Osaka University
2012-2025
Oak Ridge National Laboratory
2022-2025
Computing Center
2024-2025
Quantum (Australia)
2025
RIKEN Center for Advanced Photonics
2021-2024
Suzuka University of Medical Science
2024
RIKEN
2023-2024
Japan Science and Technology Agency
2017-2024
Nagoya University
2023-2024
We propose a classical-quantum hybrid algorithm for machine learning on near-term quantum processors, which we call circuit learning. A driven by our framework learns given task tuning parameters implemented it. The iterative optimization of the allows us to circumvent high-depth circuit. Theoretical investigation shows that can approximate nonlinear functions, is further confirmed numerical simulations. Hybridizing low-depth and classical computer learning, proposed paves way toward...
GPflow is a Gaussian process library that uses TensorFlow for its core computations and Python front end. The distinguishing features of are it variational inference as the primary approximation method, provides concise code through use automatic differentiation, has been engineered with particular emphasis on software testing able to exploit GPU hardware.
The authors propose an algorithm, the subspace-search variational quantum eigensolver (SSVQE) that searches a low energy subspace by supplying orthogonal input states to ansatz and relies on unitarity of transformations ensure orthogonality output states. This work extends applicable domain Variational Quantum Eigensolver excited their related properties.
The authors describe an alternative to digital quantum computation that uses natural dynamics for information processing. $Q\phantom{\rule{0}{0ex}}u\phantom{\rule{0}{0ex}}a\phantom{\rule{0}{0ex}}n\phantom{\rule{0}{0ex}}t\phantom{\rule{0}{0ex}}u\phantom{\rule{0}{0ex}}m$ $r\phantom{\rule{0}{0ex}}e\phantom{\rule{0}{0ex}}s\phantom{\rule{0}{0ex}}e\phantom{\rule{0}{0ex}}r\phantom{\rule{0}{0ex}}v\phantom{\rule{0}{0ex}}o\phantom{\rule{0}{0ex}}i\phantom{\rule{0}{0ex}}r$...
To explore the possibilities of a near-term intermediate-scale quantum algorithm and long-term fault-tolerant computing, fast versatile circuit simulator is needed. Here, we introduce Qulacs, for circuits intended research purpose. We show main concepts explain how to use its features via examples, describe numerical techniques speed-up simulation, demonstrate performance with benchmarks.
A type of quantum bit known as the Gottesman-Kitaev-Preskill qubit could be a key ingredient for practical, fault-tolerant computers, but it has stringent requirements that are beyond current capabilities. New calculations propose way to reduce these achievable in near-term setups.
We propose a sequential minimal optimization method for quantum-classical hybrid algorithms, which converges faster, is robust against statistical error, and hyperparameter-free. Specifically, the problem of parameterized quantum circuits divided into solvable subproblems by considering only subset parameters. In fact, if we choose single parameter, cost function becomes simple sine curve with period $2\pi$, hence can exactly minimize respect to chosen parameter. Furthermore, even in general...
In the early years of fault-tolerant quantum computing (FTQC), it is expected that available code distance and number magic states will be restricted due to limited scalability devices insufficient computational power classical decoding units. Here, we integrate error correction mitigation into an efficient FTQC architecture effectively increases $T$-gate count at cost constant sampling overheads in a wide range regimes. For example, while need $10^4$ $10^{10}$ logical operations for...
Blind quantum computation is a new secure computing protocol which enables Alice (who does not have sufficient technology) to delegate her Bob has full-fledged computer) in such way that cannot learn anything about Alice's input, output, and algorithm. In previous protocols, needs device generates states, as single-photon states. Here we propose another type of blind where only measurements, the polarization measurements with threshold detector. several experimental setups, optical systems,...
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Blind quantum computation is a novel secure quantum-computing protocol that enables Alice, who does not have sufficient technology at her disposal, to delegate Bob, has fully fledged computer, in such way Bob cannot learn anything about Alice's input, output and algorithm. A recent proof-of-principle experiment demonstrating blind an optical system raised new challenges regarding the scalability of realistic noisy conditions. Here we show fault-tolerant possible topologically protected...
As the finalization of a hydrogen experiment towards deuterium phase, exploration best performance plasma was intensively performed in large helical device. High ion and electron temperatures, Ti Te, more than 6 keV were simultaneously achieved by superimposing high-power cyclotron resonance heating onneutral beam injection (NBI) heated plasma. Although flattening temperature profile core region observed during discharges, one could avoid degradation increasing density. Another key parameter...
Deterministic quantum computation with one bit (DQC1) [E. Knill and R. Laflamme, Phys. Rev. Lett. 81, 5672 (1998)] is a model of computing where the input restricted to containing single qubit in pure state has all other qubits completely mixed state. Only measured at end computation. While it known that DQC1 can efficiently solve several problems for which no classical efficient algorithms exist, question whether really more powerful than remains open. In this Letter, we introduce slightly...
We summarize the physics case for International Linear Collider (ILC). review key motivations ILC presented in literature, updating projected measurement uncertainties experiments accord with expected schedule of operation accelerator and results most recent simulation studies.
We propose a divide-and-conquer method for the quantum-classical hybrid algorithm to solve larger problems with small-scale quantum computers. Specifically, we concatenate variational eigensolver (VQE) reduction in system dimension, where interactions between divided subsystems are taken as an effective Hamiltonian expanded by reduced basis. Then is further solved VQE, which call deep VQE. Deep VQE allows us apply algorithms on computers large systems strong intrasubsystem and weak...
Quantum circuits that are classically simulatable tell us when quantum computation becomes less powerful than or equivalent to classical computation. Such of importance because they illustrate what makes universal different from computers. In this work, we propose a novel family by making use dual-unitary (DUQCs), which have been recently investigated as exactly solvable models non-equilibrium physics, and characterize their computational power. Specifically, investigate the complexity...
Quantum simulation is one of the key applications quantum computing, which accelerates research and development in fields such as chemistry material science. The recent noisy intermediate-scale (NISQ) devices urges exploration without necessity error correction. In this paper, we propose an efficient method to simulate dynamics driven by a static Hamiltonian on NISQ devices, named subspace variational simulator (SVQS). SVQS employs subspace-search eigensolver (SSVQE) [Phys. Rev. Res. 1,...
Quantum computers are expected to drastically accelerate certain computing tasks versus classical computers. Noisy intermediate-scale quantum (NISQ) devices, which have tens hundreds of noisy physical qubits, gradually becoming available, but it is still challenging achieve useful advantages in meaningful tasks. On the other hand, full fault-tolerant (FTQC) based on error correction code remains far beyond realization due its extremely large requirement high-precision qubits. In this study,...
Covers advancements in spacecraft and tactical strategic missile systems, including subsystem design application, mission analysis, materials structures, developments space sciences, processing manufacturing, operations, applications of technologies to other fields.