:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autore principale:	Miyamoto, Koichi
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Quantum Physics
Accesso online:	https://arxiv.org/abs/2406.01889
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Quantum algorithm for copula-based risk aggregation using orthogonal series density estimation
di: Mori, Hitomi, et al.
Pubblicazione: (2024)

On the bias in iterative quantum amplitude estimation
di: Miyamoto, Koichi
Pubblicazione: (2023)

Improved quantum algorithm for calculating eigenvalues of differential operators and its application to estimating the decay rate of the perturbation distribution tail in stochastic inflation
di: Miyamoto, Koichi, et al.
Pubblicazione: (2024)

Quantum algorithm for solving McKean-Vlasov stochastic differential equations
di: Miyamoto, Koichi
Pubblicazione: (2025)

Quantum algorithm for solving high-dimensional linear stochastic differential equations via amplitude encoding of the noise term
di: Miyamoto, Koichi
Pubblicazione: (2026)

Classical simulability of quantum circuits followed by sparse classical post-processing
di: Takahashi, Yasuhiro, et al.
Pubblicazione: (2026)

Time series generation for option pricing on quantum computers using tensor network
di: Kobayashi, Nozomu, et al.
Pubblicazione: (2024)

Calculating the power spectrum in stochastic inflation by Monte Carlo simulation and least squares curve fitting
di: Miyamoto, Koichi, et al.
Pubblicazione: (2025)

Quantum process tomography of a compressed time evolution circuit on superconducting quantum processors
di: Dinca, Maria, et al.
Pubblicazione: (2025)

Sufficient support size of measurements for quantum estimation
di: Yamagata, Koichi
Pubblicazione: (2026)

Quantum analog-encoding for correlated Gaussian vectors and their exponentiation with application to rough volatility
di: Thaksakronwong, Tassa, et al.
Pubblicazione: (2026)

Learning Fourier series with parametrized quantum circuits
di: Heimann, Dirk, et al.
Pubblicazione: (2022)

Expectation value estimation with parametrized quantum circuits
di: Wu, Bujiao, et al.
Pubblicazione: (2024)

Equating quantum imaginary time evolution, Riemannian gradient flows, and stochastic implementations
di: McMahon, Nathan A., et al.
Pubblicazione: (2025)

The cross-sectional stock return predictions via quantum neural network and tensor network
di: Kobayashi, Nozomu, et al.
Pubblicazione: (2023)

Optimal compression of quantum many-body time evolution operators into brickwall circuits
di: Tepaske, Maurits S. J., et al.
Pubblicazione: (2022)

Classically estimating observables of noiseless quantum circuits
di: Angrisani, Armando, et al.
Pubblicazione: (2024)

Harnessing quantum back-action for time-series processing
di: Franceschetto, Giacomo, et al.
Pubblicazione: (2024)

Objectivity of classical quantum stochastic processes
di: Szańkowski, Piotr, et al.
Pubblicazione: (2023)

Learning parameter dependence for Fourier-based option pricing with tensor trains
di: Sakurai, Rihito, et al.
Pubblicazione: (2024)

Exploring the Robustness of stabilizing controls for stochastic quantum evolutions
di: Liang, Weichao, et al.
Pubblicazione: (2023)

Tensor train representations of Greeks for Fourier-based pricing of multi-asset options
di: Sakurai, Rihito, et al.
Pubblicazione: (2025)

Nonreciprocal quantum information processing with superconducting diodes in circuit quantum electrodynamics
di: Dirnegger, Nicolas, et al.
Pubblicazione: (2025)

Locally purified density operators for noisy quantum circuits
di: Guo, Yuchen, et al.
Pubblicazione: (2023)

Efficiency of estimators for locally asymptotically normal quantum statistical models
di: Fujiwara, Akio, et al.
Pubblicazione: (2022)

Adaptive measurement strategy for noisy quantum amplitude estimation with variational quantum circuits
di: Oshio, Kohei, et al.
Pubblicazione: (2024)

Dimension reduction in quantum sampling of stochastic processes
di: Yang, Chengran, et al.
Pubblicazione: (2024)

On the emergence of quantum mechanics from stochastic processes
di: Doukas, Jason
Pubblicazione: (2026)

Many-time physics in practice: characterising and controlling non-Markovian quantum stochastic processes
di: White, Gregory A. L.
Pubblicazione: (2024)

Classical variational optimization of PREPARE circuit for quantum phase estimation of quantum chemistry Hamiltonians
di: Morisaki, Hayata, et al.
Pubblicazione: (2023)

Squeezing as a resource for time series processing in quantum reservoir computing
di: García-Beni, Jorge, et al.
Pubblicazione: (2023)

Insights of quantum time into quantum evolution
di: Loc, Ngo Phuc Duc
Pubblicazione: (2023)

Robust multi-mode superconducting circuit optimized for quantum information processing
di: García-Azorín, P., et al.
Pubblicazione: (2024)

Low-density parity-check representation of fault-tolerant quantum circuits
di: Li, Ying
Pubblicazione: (2024)

A linear photonic swap test circuit for quantum kernel estimation
di: Baldazzi, Alessio, et al.
Pubblicazione: (2024)

Even shorter quantum circuit for phase estimation on early fault-tolerant quantum computers with applications to ground-state energy estimation
di: Ding, Zhiyan, et al.
Pubblicazione: (2022)

Error mitigation and circuit division for early fault-tolerant quantum phase estimation
di: Dutkiewicz, Alicja, et al.
Pubblicazione: (2024)

Heisenberg-limited Bayesian phase estimation with low-depth digital quantum circuits
di: Direkci, Su, et al.
Pubblicazione: (2024)

Gill and Massar type bound for estimation of $SU(2)$ channel
di: Yamagata, Koichi
Pubblicazione: (2024)

Phase estimation with partially randomized time evolution
di: Günther, Jakob, et al.
Pubblicazione: (2025)