{"id":10,"date":"2021-06-02T03:48:06","date_gmt":"2021-06-02T03:48:06","guid":{"rendered":"https:\/\/www.yamamoto.appi.keio.ac.jp\/?page_id=10"},"modified":"2021-09-21T08:03:24","modified_gmt":"2021-09-21T08:03:24","slug":"publications","status":"publish","type":"page","link":"https:\/\/www.yamamoto.appi.keio.ac.jp\/index.php\/publications\/","title":{"rendered":"Publications (selected)"},"content":{"rendered":"\n

\n\n\n\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t
R. Sakuma, K. Wada, S. Kanno, K. Keithley, K. Sugisaki, T. Abe, H. Nakamura, and N. Yamamoto, Quantum phase estimation based filtering: Performance analysis and application to low-energy spectral calculation, Phys Rev A (2026)
\n<\/td>\n<\/tr>\n
K. Sugisaki, S. Kanno, T. Itoko, R. Sakuma, N. Yamamoto, Hamiltonian simulation-based quantum-selected configuration interaction for large-scale electronic structure calculations with a quantum computer, Phys Chem Chem Phys, 27, 20869 (2025)<\/td>\n<\/tr>\n
S. Kanno, K. Sugisaki, H. Nakamura, H. Yamauchi, R. Sakuma, T. Kobayashi, Q. Gao, and N. Yamamoto, Tensor-based quantum phase difference estimation for large-scale demonstration,
\nPNAS, 122, 30 (2025)<\/td>\n<\/tr>\n
N. Yamamoto and K. Wada, Shrinking quantum randomization (not peer-reviewed Perspective paper),
\nScience, 389, 6755, 34 (2025)<\/td>\n<\/tr>\n
K. Wada, N. Yamamoto, and N. Yoshioka, Heisenberg-limited adaptive gradient estimation for multiple observables, PRX Quantum, 6, 020308 (2025)<\/td>\n<\/tr>\n
R. Kondo, Y. Sato, R. Raymond, and N. Yamamoto, Recursive quantum relaxation for combinatorial optimization problems, Quantum, 9, 1594 (2025)<\/td>\n<\/tr>\n
Y. Sato, H. Tezuka, R. Kondo, and N. Yamamoto, Quantum algorithm for partial differential equations of non-conservative systems with spatially varying parameters, Phys. Rev. Applied 23, 014063 (2025)<\/td>\n<\/tr>\n
K. Oshio, Y. Suzuki, K. Wada, K. Hisanaga, S. Uno, and N. Yamamoto, Adaptive measurement strategy for noisy quantum amplitude estimation with variational quantum circuits, Phys. Rev. A 110, 062423 (2024)<\/td>\n<\/tr>\n
Q. Gao, M. Sugawara, P. D. Nation, T. Kobayashi, Y. Ohnishi, H. Tezuka, and N. Yamamoto, A quantum-classical method applied to material design: Photochromic materials optimization for photopharmacology applications, Intelligent Computing, 0108 (2024)<\/td>\n<\/tr>\n
K. Kobayashi, K. Fujii, and N. Yamamoto, Feedback-driven quantum reservoir computing for time-series analysis, PRX Quantum, 5, 040325 (2024)<\/td>\n<\/tr>\n
H. Harada, K. Wada, and N. Yamamoto, Doubly optimal parallel wire cutting without ancilla qubits,
\nPRX Quantum, 5, 040308 (2024)<\/td>\n<\/tr>\n
K. Wada, K. Fukuchi, and N. Yamamoto, Quantum-enhanced mean value estimation via adaptive measurement, Quantum, 8, 1463 (2024)<\/td>\n<\/tr>\n
Y. Sato, R. Kondo, I. Hamamura, T. Onodera, and N. Yamamoto, Hamiltonian simulation for time-evolving partial differential equation, Phys. Rev. Research, 033246, 6 (2024)<\/td>\n<\/tr>\n
K Tamura, Y Suzuki, R. Raymond, H. C. Watanabe, Y. Sato, R. Kondo, M. Sugawara, and N. Yamamoto, Noise robustness of quantum relaxation for combinatorial optimization, IEEE Trans. Quantum Engineering, 1-9, 5 (2024)<\/td>\n<\/tr>\n
R. Sakuma, S. Kanno, K. Sugisaki, T. Abe, and N. Yamamoto, Entanglement-assisted phase estimation algorithm for calculating dynamical response functions, Phys. Rev. A, 110, 022618 (2024)<\/td>\n<\/tr>\n
A. Sone, A. Tanji, and N. Yamamoto, Quantum inception score, Phys. Rev. Research, 6, 033198 (2024)<\/td>\n<\/tr>\n
S. Kanno, H. Nakamura, T. Kobayashi, S. Gocho, M. Hatanaka, N. Yamamoto, Q. Gao, Quantum computing quantum Monte Carlo with hybrid tensor network toward electronic structure calculations of large-scale molecular and solid systems, npj Quantum Information, 10, 56 (2024)<\/td>\n<\/tr>\n
Y. Suzuki, H. Kawaguchi, and N. Yamamoto, Quantum Fisher kernel for mitigating the vanishing similarity issue, Quantum Science and Technology, 9, 3 (2024)<\/td>\n<\/tr>\n
Y. Sano, K. Mitarai, N. Yamamoto, and N. Ishikawa, Accelerating Grover adaptive search: qubit and gate count reduction strategies with higher-order formulations, IEEE Trans. Quantum Engineering, 5, 3101712 (2024)<\/td>\n<\/tr>\n
N. Mitsuda, T. Ichimura, K. Nakaji, Y. Suzuki, T. Tanaka, R. Raymond, H. Tezuka, T. Onodera, and N. Yamamoto, Approximate complex amplitude encoding algorithm and its application to data classification problems, Phys. Rev. A, 109, 052423 (2024)<\/td>\n<\/tr>\n
S. Daimon, K. Tsunekawa, R. Takeuchi, T. Sagawa, N. Yamamoto, and E. Saitoh, Quantum circuit distillation and compression, Japanese J. Applied Physics, 63, 3 (2024)<\/td>\n<\/tr>\n
H. Tezuka, S. Uno, and N. Yamamoto, Generative model for learning quantum ensemble via optimal transport loss, Quantum Machine Intelligence, 6, 6 (2024)<\/td>\n<\/tr>\n
K. Toyoizumi, N. Yamamoto, and K. Hoshino, Hamiltonian simulation using quantum singular value transformation: complexity analysis and application to the linearized Vlasov-Poisson equation, Phys. Rev. A, 109, 012430 (2024)<\/td>\n<\/tr>\n
K. Nakaji, H. Tezuka, and N. Yamamoto, Quantum-classical hybrid neural networks in the neural tangent kernel regime, Quantum Science and Technology, 9, 015022 (2024)<\/td>\n<\/tr>\n
K. Endo, Y. Sato, R. Raymond, K. Wada, N. Yamamoto, and H. C. Watanabe, Optimal parameter configurations for sequential optimization of variational quantum eigensolver, Phys Rev Research, 5, 043136 (2023)<\/td>\n<\/tr>\n
H. Yano and N. Yamamoto, Quantum information criteria for model selection in quantum state estimation, J. Physics A: Math and Theoretical, 56, 405301 (2023)<\/td>\n<\/tr>\n
R. Nagai, S. Kanno, Y. Sato, and N. Yamamoto, Quantum channel decomposition with pre- and post-selection, Phys Rev A, 108, 022615 (2023)<\/td>\n<\/tr>\n
Y. Sato, H. C. Watanabe, R. Raymond, R. Kondo, K. Wada, K. Endo, M. Sugawara, and N. Yamamoto, A variational quantum algorithm for generalized eigenvalue problems and its application to finite element method, Phys Rev A, 108, 022429 (2023)<\/td>\n<\/tr>\n
K. Miyamoto, N. Yamamoto, and Y. Sakakibara, Quantum algorithm for position weight matrix matching, IEEE Trans. Quantum Engineering, 4, 3101214 (2023)<\/td>\n<\/tr>\n
Q. Gao, G. O. Jones, M. Sugawara, T. Kobayashi, H. Yamashita, H. Kawaguchi, S. Tanaka, and N. Yamamoto, Quantum-classical computational molecular design of deuterated high-efficiency OLED emitters, Intelligent Computing, 0037 (2023)<\/td>\n<\/tr>\n
A. Sone, N. Yamamoto, T. Holdsworth, and P. Narang, Integrated fluctuation theorems for generic quantum state and quantum channel, Phys Rev Research 5, 023039 (2023)<\/td>\n<\/tr>\n
T. Kubota, Y. Suzuki, S. Kobayashi, Q. H. Tran, N. Yamamoto, K. Nakajima, Temporal information processing induced by quantum noise, Phys Rev Research 5, 023057 (2023)<\/td>\n<\/tr>\n
M. Croquette et. al., Recent advances toward mesoscopic quantum optomechanics, AVS Quantum Sci. 5, 014403 (2023)<\/td>\n<\/tr>\n
D. Miki, N. Matsumoto, A. Matsumura, T. Shichijo, Y. Sugiyama, K. Yamamoto, and N. Yamamoto, Generating quantum entanglement between macroscopic objects with continuous measurement and feedback control, Phys. Rev. A, 107, 032410 (2023)<\/td>\n<\/tr>\n
M. Kobayashi, K. Nakaji, and N. Yamamoto, Overfitting in quantum machine learning and entangling dropout, Quantum Machine Intelligence 4, 30 (2022)<\/td>\n<\/tr>\n
K. Kishi, T. Satoh, R. Raymond, N. Yamamoto, and Y. Sakakibara, Graph kernels encoding features of all subgraphs by quantum superposition, IEEE J. Emerging and Selected Topics in Circuits and Systems, 12-3, 602\/613 (2022)<\/td>\n<\/tr>\n
S. Ashhab, N. Yamamoto, F. Yoshihara, and K. Semba, Numerical analysis of quantum circuits for state preparation and unitary operator synthesis, Phys. Rev. A 106, 022426 (2022)<\/td>\n<\/tr>\n
K. Wada, R. Raymond, Y. Ohnishi, E. Kaminishi, M. Sugawara, N. Yamamoto, and H. C. Watanabe, Simulating time evolution with fully optimized single-qubit gates on parametrized quantum circuits, Phys. Rev. A 105, 062421 (2022)<\/td>\n<\/tr>\n
T. Satoh, S. Ohmura, M. Sugawara, and N. Yamamoto, Pulse-engineered Control-V gate and its applications on superconducting quantum device, IEEE Trans. Quantum Engineering, 3, 3101610 (2022)<\/td>\n<\/tr>\n
S. Ashhab, F. Yoshihara, T. Fuse, N. Yamamoto, A. Lupascu, and K. Semba, Speed limits for quantum gates with weakly anharmonic qubits, Phys. Rev. A, 105, 042614 (2022)<\/td>\n<\/tr>\n
K. Nakaji, S. Uno, Y. Suzuki, R. Raymond, T. Onodera, T. Tanaka, H. Tezuka, N. Mitsuda, and N. Yamamoto, Approximate amplitude encoding in shallow parameterized quantum circuits and its application to financial market indicator, Phys. Rev. Research, 4, 023136 (2022)
\n<\/td>\n<\/tr>\n
H. Tezuka, K. Nakaji, T. Satoh, and N. Yamamoto, Grover search revisited; application to image pattern matching, Phys. Rev. A, 105, 032440 (2022)<\/td>\n<\/tr>\n
Y. Suzuki, Q. Gao, K. Pradel, K. Yasuoka, and N. Yamamoto, Natural quantum reservoir computing for temporal information processing, Scientific Reports, 12, 1353 (2022).<\/td>\n<\/tr>\n
T. Tanaka, S. Uno, T. Onodera, N. Yamamoto, and Y. Suzuki, Noisy quantum amplitude estimation without noise estimation, Phys. Rev. A 105, 012411 (2022).<\/td>\n<\/tr>\n
K. Nakaji and N. Yamamoto, Quantum semi-supervised generative adversarial network for enhanced data classification, Scientific Reports 11, 19649 (2021) <\/td>\n<\/tr>\n
H. Yano, Y. Suzuki, K. M. Itoh, R. Raymond, and N. Yamamoto, Efficient discrete feature encoding for variational quantum classifier, IEEE Trans. Quantum Engineering, 2, 1\/14 (2021)<\/td>\n<\/tr>\n
S. Uno, Y. Suzuki, K. Hisanaga, R. Raymond, T. Tanaka, T. Onodera, and N. Yamamoto, Modified Grover operator for amplitude estimation, New Journal of Physics 23, 083031 (2021)<\/td>\n<\/tr>\n
T. Tanaka, Y. Suzuki, S. Uno, R. Raymond, T. Onodera, and N. Yamamoto, Amplitude estimation via maximum likelihood on noisy quantum computer, Quantum Information Processing, 20, 293 (2021)<\/td>\n<\/tr>\n
K. Nakaji and N. Yamamoto, Expressibility of the alternating layered ansatz for quantum computation, Quantum 5, 434 (2021)<\/td>\n<\/tr>\n
Q. Gao, G. O. Jones, M. Motta, M. Sugawara, H. C. Watanabe, T. Kobayashi, Y. Ohnishi, H. Nakamura, and N. Yamamoto, Applications of quantum computing for investigations of electronic transitions in Phenylsulfonyl-carbazole TADF emitters, npj Computational Materials, 7, 70 (2021)<\/td>\n<\/tr>\n
S. Ma, M. J. Woolley, I. R. Petersen, and N. Yamamoto, Linear open quantum systems with passive Hamiltonians and a single local dissipative process, Automatica 125, 109477 (2021)<\/td>\n<\/tr>\n
R. Shimazu and N. Yamamoto, Quantum functionalities via feedback amplification, Phys. Rev. Applied 15, 044006 (2021)<\/td>\n<\/tr>\n
Q. Gao, H. Nakamura, T. P. Gujarati, G. O. Jones, J. E. Rice, S. P. Wood, M. Pistoia, J. M. Garcia, and N. Yamamoto, Computational investigations of the Lithium Superoxide Dimer rearrangement on noisy quantum devices, J. of Physical Chemistry A, 125-9, 1827\/1836 (2021)<\/td>\n<\/tr>\n
K. Endo, T. Nakamura, K. Fujii, and N. Yamamoto, Quantum self-learning Monte Carlo and quantum-inspired Fourier transform sampler, Phys. Rev. Research 2, 043442 (2020).<\/td>\n<\/tr>\n
K. Kobayashi and N. Yamamoto, Quantum speed limit for robust state characterization and engineering, Phys. Rev. A, 102, 042606 (2020). <\/td>\n<\/tr>\n
J. Chen, H. I. Nurdin, and N. Yamamoto, Temporal information processing on noisy quantum computers, Phys. Rev. Applied 14, 024065 (2020). <\/td>\n<\/tr>\n
Y. Suzuki, H. Yano, Q. Gao, S. Uno, T. Tanaka, M. Akiyama, and N. Yamamoto, Analysis and synthesis of feature map for kernel-based quantum classifier, Quantum Machine Intelligence, 2, 1-9 (2020)<\/td>\n<\/tr>\n
Y. Suzuki, S. Uno, R. Raymond, T. Tanaka, T. Onodera, and N. Yamamoto, Quantum amplitude estimation without phase estimation, Quantum Information Processing, 19, 75 (2020)<\/td>\n<\/tr>\n
Y. Kato, N. Yamamoto, and H. Nakao, Semiclassical phase reduction theory for quantum synchronization, Physical Review Research, 1, 033012 (2019)<\/td>\n<\/tr>\n
K. Kobayashi and N. Yamamoto, Control limit on quantum state preparation under decoherence, Phys. Rev. A, 99, 052347 (2019)<\/td>\n<\/tr>\n
K. Gallock Yoshimura and N. Yamamoto, Generating robust entanglement via quantum feedback, J. Phys. B: At. Mol. Opt. Phys., 52, 055501 (2019)<\/td>\n<\/tr>\n
Y. Yokotera and N. Yamamoto, Sensitivity analysis of cascaded quantum feedback amplifier, IEEE Control Systems Letters, 3-1, 156\/161 (2018).<\/td>\n<\/tr>\n
Y. Kashiwamura and N. Yamamoto, Replacing measurement feedback
\n with coherent feedback for quantum state preparation, Phys. Rev. A, 97, 062341 (2018).<\/td>\n<\/tr>\n
S. Ma, M. J. Woolley, I. R. Petersen, and N. Yamamoto, Cascade and locally dissipative
\n realizations of linear quantum systems for pure Gaussian state covariance
\n assignment, Automatica, 90, 263\/270 (2018).<\/td>\n<\/tr>\n
N. Yamamoto and T. Mikami, Entanglement-assisted quantum feedback control,
\n Quantum Info. Processing, 16, 179 (2017).<\/td>\n<\/tr>\n
S. Ma, M. J. Woolley, I. R. Petersen, and N. Yamamoto, Pure Gaussian states from
\n quantum harmonic oscillator chains with a single local dissipative process,
\n J. Phys. A: Math. Theor., 50, 135301 (2017).<\/td>\n<\/tr>\n
H. Nakao and N. Yamamoto, Optimal control for perfect state transfer in linear
\n quantum memory, J. Phys. B: At. Mol. Opt. Phys., 50, 065501 (2017).<\/td>\n<\/tr>\n
Y. Yokotera and N. Yamamoto, Geometric control theory for quantum back-action
\n evasion, EPJ Quantum Technology, 3, 15 (2016).<\/td>\n<\/tr>\n
N. Yamamoto, Quantum feedback amplification, Phys. Rev. Applied, 5, 044012 (2016).<\/td>\n<\/tr>\n
M. Guta and N. Yamamoto, System identification for passive linear quantum systems, IEEE Trans. Automat. Contr. 61-4, 921\/936 (2016).<\/td>\n<\/tr>\n
N. Yamamoto, Coherent versus measurement feedback: Linear systems theory for quantum information, Phys. Rev. X, 4, 041029 (2014).<\/td>\n<\/tr>\n
N. Yamamoto and M. R. James, Zero dynamics principle for perfect quantum memory in linear networks, New J. Physics, 16, 073032 (2014).<\/td>\n<\/tr>\n
N. Yamamoto, Decoherence-free linear quantum systems, IEEE Trans. Automat. Contr 59-7, 1845\/1857 (2014).<\/td>\n<\/tr>\n
Y. Kato and N. Yamamoto, Structure identification and state initialization of spin networks with limited access, New J. Physics, 16, 023024 (2014).<\/td>\n<\/tr>\n
S. Tanaka and N. Yamamoto, Information amplification via postselection: A parameter estimation perspective, Phys. Rev. A, 88, 042116 (2013)<\/td>\n<\/tr>\n
Y. Ikeda and N. Yamamoto, Deterministic generation of Gaussian pure states in a quasi-local dissipative system, Phys. Rev. A 87, 033802 (2013).<\/td>\n<\/tr>\n
S. Tanaka and N. Yamamoto, Robust adaptive measurment scheme for qubit state preparation, Phys. Rev. A 86, 062331 (2012).<\/td>\n<\/tr>\n
H. I. Nurdin and N. Yamamoto, Distributed entanglement generation between continuous-mode Gaussian fields with measurement-feedback enhancement, Phys. Rev. A 86, 022337 (2012).<\/td>\n<\/tr>\n
G. Tajimi and N. Yamamoto, Dynamical Gaussian state transfer with quantum error correcting architecture, Phys. Rev. A 85, 022303 (2012).<\/td>\n<\/tr>\n
N. Yamamoto, Pure Gaussian state generation via dissipation: A quantum stochastic differential equation approach, Phil. Trans. Roy. Soc. A, 370, 5324\/5337 (2012).<\/td>\n<\/tr>\n
K. Koga and N. Yamamoto, Dissipation induced pure Gaussian state, Phys. Rev. A 85, 022103 (2012).<\/td>\n<\/tr>\n
S. Iida, M. Yukawa, H. Yonezawa, N. Yamamoto, and A. Furusawa, Experimental demonstration of coherent feedback control on optical field squeezing, IEEE Trans. Automat. Contr. 57-8, 2045\/2050 (2012).<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/p>\n\n\n\n

Y. Yokotera and N. Yamamoto, Sensitivity analysis of cascaded quantum feedback amplifier, IEEE Control Systems Letters, 3-1, 156\/161 (2018)
Y. Kashiwamura and N. Yamamoto, Replacing measurement feedback with coherent feedback for quantum state preparation, Phys. Rev. A, 97, 062341 (2018)
S. Ma, M. Woolley, I. R. Petersen. and N. Yamamoto, Cascade and locally dissipative realizations of linear quantum systems for pure Gaussian state covariance assignment, Automatica, 90, 263\/270 (2018)<\/p>\n\n\n\n

2017<\/strong><\/p>\n\n\n\n

H. I. Nurdin and N. Yamamoto, Linear Dynamical Quantum Systems:
       Analysis, Synthesis, and Control, Springer (2017).
N. Yamamoto and T. Mikami, Entanglement-assisted quantum feedback control,  Quantum Info. Processing, 16, 179 (2017).
S. Ma, M. J. Woolley, I. R. Petersen, and N. Yamamoto, Pure Gaussian states from  quantum harmonic oscillator chains with a single local dissipative process, J. Phys. A: Math. Theor., 50, 135301 (2017).
H. Nakao and N. Yamamoto, Optimal control for perfect state transfer in linear quantum memory, J. Phys. B: At. Mol. Opt. Phys., 50, 065501 (2017).
Y. Kashiwamura and N. Yamamoto, Dissipative-dissipative control strategy for quantum coherent feedback, Proceedings of IFAC World Congress, 11760\/11763 (2017).
Y. Yokotera and N. Yamamoto, Sensitivity analysis of multi-stage quantum feedback amplifier, QIT36 (2017).
Y. Kobayashi and N. Yamamoto, Limit on quantum state control under dissipation, QIT36 (2017).

2016<\/strong><\/p>\n\n\n\n

Y. Yokotera and N. Yamamoto, Geometric control theory for quantum back-action evasion, EPJ Quantum Technology, 3, 15 (2016).
N. Yamamoto, Quantum feedback amplification, Phys. Rev. Applied, 5, 044012 (2016).
M. Guta and N. Yamamoto, System identification for passive linear quantum systems, IEEE Trans. Automat. Contr. 61-4, 921\/936 (2016).
Y. Yokotera and N. Yamamoto, Quantum back-action evasion via coherent feedback control: A geometric control approach, Proceedings of 55th IEEE CDC, 2539\/2542 (2016).
N. Yamamoto, H. I. Nurdin, M. R. James, Quantum state transfer for multi-input linear quantum systems, Proceedings of 55th IEEE CDC, 2535\/2538 (2016).
S. Ma, M. J. Woolley, I. R. Petersen, and N. Yamamoto, Pure Gaussian quantum states from passive Hamiltonians and an active local dissipative process, Proceedings of 55th IEEE CDC, 2519\/2522 (2016).
H. I. Nurdin, M. R. James, and N. Yamamoto, Perfect absorber of arbitrary single photon fields with a tunable coupling parameter: A QSDE approach, Proceedings of 55th IEEE CDC, 2513\/2518 (2016).
R. Kuroyanagi and N. Yamamoto, LQG control of squeezing angle fluctuation, QIT35 (2016).
Y. Kashiwamura and N. Yamamoto, Design method of coherent feedback control: A rule of thumb, QIT35 (2016).
Y. Kobayashi and N. Yamamoto, Limit on quantum state control under dissipation, QIT35 (2016).
N. Yamamoto, Quantum information with linear control theory, EMN Meeting on Quantum,
       Phuket, Thailand (2016).

2015<\/strong><\/p>\n\n\n\n

N. Yamamoto and T. Mikami, Quantum linear feedback control with entanglement assistance, Proceedings of 54th IEEE CDC, 5778\/5783 (2015).
N. Yamamoto, Quantum feedback amplification, 10th PRACQSYS, Sydney, Australia (2015).
Y. Yokotera and N. Yamamoto, Approximate back-action evasion via coherent H2 control, QIT33 (2015).
H. Nakao and N. Yamamoto, Perfect state transfer for linear quantum memory by optimal control, QIT33 (2015).

2014<\/strong><\/p>\n\n\n\n

N. Yamamoto, Coherent versus measurement feedback: Linear systems theory
       for quantum information, Phys. Rev. X, 4, 041029 (2014)
N. Yamamoto and M. R. James, Zero dynamics principle for perfect quantum memory in linear networks, New J. Physics, 16, 073032 (2014).
N. Yamamoto, Decoherence-free linear quantum systems, IEEE Trnas. Automat. Contr 59-7, 1845\/1857 (2014).
Y. Kato and N. Yamamoto, Structure identification and state initialization of spin networks with limited access, New J. Physics, 16, 023024 (2014).
S. Ma, M. J. Woolley, I. R. Petersen, and N. Yamamoto, Preparation of pure Gaussian states via cascaded quantum systems, Proceedings of 2014 IEEE MSC (2014).
N. Yamamoto, System identification for quantum linear systems and spin networks, Isaac Newton Institute Program Series, Cambridge, UK (2014).
S. Tanaka and N. Yamamoto, The information inequality in postselection on parameter estimation problems, APS March Meeting, Denver, Colorado, USA (2014)

2013<\/strong><\/p>\n\n\n\n

S. Tanaka and N. Yamamoto, Information amplification via postselection: A parameter estimation perspective, Phys. Rev. A, 88, 042116 (2013)
Y. Ikeda and N. Yamamoto, Deterministic generation of Gaussian pure states in a quasilocal dissipative system, Phys. Rev. A, 87, 033802 (2013)
M. Guta and N. Yamamoto, Systems identification for passive linear quantum systems: the transfer function approach, Proceedings of 52nd IEEE CDC (2013)
Y. Kato and N. Yamamoto, Estimation and initialization of quantum network via continuous measurement on single node, Proceedings of 52nd IEEE CDC (2013)
N. Yamamoto, Quantum feedback experiments and applications, 52nd IEEE CDC, Florence, Italy (2013)
N. Yamamoto, Coherent versus measurement feedback control: Some no-go theorems, 8th PRACQSYS, Monterey, CA, USA (2013)
S. Iida and N. Yamamoto, Fault detection of decoherence free subsystems, 8th PRACQSYS, Monterey, CA, USA (2013)
N. Yamamoto, Decoherence-free linear quantum systems, APPC 12, Tokyo (2013)
Y. Nakagawa and N. Yamamoto, Error and disturbance in linear quantum systems, APPC 12, Tokyo (2013)
Y. Takahashi and N. Yamamoto, Enhancement of measurement accuracy via squeezed light input APPC 12, Tokyo (2013)

2012<\/strong><\/p>\n\n\n\n

S. Tanaka and N. Yamamoto, Robust adaptive measurement scheme for qubit-state preparation, Phys. Rev. A, 86, 062331 (2012)
H. I. Nurdin and N. Yamamoto, Distributed entanglement generation between continuous-mode Gaussian fields with measurement-feedback enhancement, Phys. Rev. A, 86, 022337 (2012)
S. Iida, M. Yukawa, H. Yonezawa, N. Yamamoto, and A. Furusawa, Experimental demonstration of coherent feedback control on optical field squeezing, IEEE Trans. Automat. Contr., 57-8, 2045\/2050 (2012)
N. Yamamoto, Pure Gaussian state generation via dissipation: A quantum stochastic differential equation approach, Phil. Trans. Roy. Soc. A, 370, 5324\/5337 (2012)
G. Tajimi and N. Yamamoto, Dynamical Gaussian state transfer with quantum error correction architecture, Phys. Rev. A 85, 022303 (2012)
K. Koga and N. Yamamoto, Dissipation induced pure Gaussian state, Phys. Rev. A 85, 022103 (2012)
H. Nurdin and N. Yamamoto, LQG measurement-feedback control of distributed entanglement generation between continuous-mode Gaussian fields, Proceedings of 51st IEEE CDC, 3632\/3639 (2012)
N. Yamamoto, Quantum information with linear control theory, 7th PRACQSYS, Tokyo (2012)
S. Iida and N. Yamamoto, Robust quantum LQG control of the opto-mechanical sensors for the phase uncertainty of the input field, 7th PRACQSYS, Tokyo (2012)
S. Tanaka and N. Yamamoto, Adaptive Zeno measurement for qubit state preparation, 7th PRACQSYS, Tokyo (2012)
Y. Ikeda and N. Yamamoto, Deterministic pure Gaussian state generation via quasi-local dissipative interaction, 7th PRACQSYS, Tokyo (2012)<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Y. Yokotera and N. Yamamoto, Sensitivity analysis of cascaded quantum feedback amplifier, IEEE Control Systems Letters, 3-1, 156\/161 (2018)Y. Kashiwamura and N. Yamamoto, Replacing measurement feedback with coherent feedback for quantum state preparation, Phys. Rev. A, 97, 062341 (2018)S. Ma, M. Woolley, I. R. Petersen. and N. Yamamoto, Cascade and locally dissipative realizations of linear quantum systems for pure Gaussian state covariance … Continue reading “Publications (selected)”<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-10","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.yamamoto.appi.keio.ac.jp\/index.php\/wp-json\/wp\/v2\/pages\/10","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.yamamoto.appi.keio.ac.jp\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.yamamoto.appi.keio.ac.jp\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.yamamoto.appi.keio.ac.jp\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.yamamoto.appi.keio.ac.jp\/index.php\/wp-json\/wp\/v2\/comments?post=10"}],"version-history":[{"count":18,"href":"https:\/\/www.yamamoto.appi.keio.ac.jp\/index.php\/wp-json\/wp\/v2\/pages\/10\/revisions"}],"predecessor-version":[{"id":317,"href":"https:\/\/www.yamamoto.appi.keio.ac.jp\/index.php\/wp-json\/wp\/v2\/pages\/10\/revisions\/317"}],"wp:attachment":[{"href":"https:\/\/www.yamamoto.appi.keio.ac.jp\/index.php\/wp-json\/wp\/v2\/media?parent=10"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}