Zobrazeno 1 - 10
of 737
pro vyhledávání: '"Yoshikawa, Nobuyuki"'
Autor:
Xie, Yanyue, Dong, Peiyan, Yuan, Geng, Li, Zhengang, Zabihi, Masoud, Wu, Chao, Chang, Sung-En, Zhang, Xufeng, Lin, Xue, Ding, Caiwen, Yoshikawa, Nobuyuki, Chen, Olivia, Wang, Yanzhi
Superconducting circuits, like Adiabatic Quantum-Flux-Parametron (AQFP), offer exceptional energy efficiency but face challenges in physical design due to sophisticated spacing and timing constraints. Current design tools often neglect the importance
Externí odkaz:
http://arxiv.org/abs/2407.18209
Autor:
Safaoui, Sleiman, Vinod, Abraham P., Chakrabarty, Ankush, Quirynen, Rien, Yoshikawa, Nobuyuki, Di Cairano, Stefano
We consider the problem of safe multi-agent motion planning for drones in uncertain, cluttered workspaces. For this problem, we present a tractable motion planner that builds upon the strengths of reinforcement learning and constrained-control-based
Externí odkaz:
http://arxiv.org/abs/2311.00063
Cryogenic qubit controllers (QCs) are the key to build large-scale superconducting quantum processors. However, developing scalable QCs is challenging because the cooling power of a dilution refrigerator is too small (~10 $\mu$W at ~10 mK) to operate
Externí odkaz:
http://arxiv.org/abs/2310.06544
Autor:
Li, Zhengang, Yuan, Geng, Yamauchi, Tomoharu, Masoud, Zabihi, Xie, Yanyue, Dong, Peiyan, Tang, Xulong, Yoshikawa, Nobuyuki, Tiwari, Devesh, Wang, Yanzhi, Chen, Olivia
Adiabatic Quantum-Flux-Parametron (AQFP) is a superconducting logic with extremely high energy efficiency. By employing the distinct polarity of current to denote logic `0' and `1', AQFP devices serve as excellent carriers for binary neural network (
Externí odkaz:
http://arxiv.org/abs/2309.12212
Publikováno v:
Phys. Rev. B, vol. 109, p. 014511, Jan 2024
Ising machines have emerged as a promising solution for rapidly solving NP-complete combinatorial optimization problems, surpassing the capabilities of traditional computing methods. By efficiently determining the ground state of the Hamiltonian duri
Externí odkaz:
http://arxiv.org/abs/2309.03407
As we rapidly advance through the information age, the power consumed by computers, data centers, and networks grows exponentially. This has inspired a race to develop alternative low-power computational technologies. A new adiabatic configuration of
Externí odkaz:
http://arxiv.org/abs/2305.14184
Adiabatic quantum-flux-parametron (AQFP) logic is an ultra-low-power superconductor logic family. AQFP logic gates are powered and clocked by dedicated clocking schemes using ac excitation currents to implement an energy-efficient switching process,
Externí odkaz:
http://arxiv.org/abs/2210.03446
Adiabatic quantum-flux-parametron (AQFP) logic is an energy-efficient superconductor logic family. The latency of AQFP circuits is relatively long compared to that of other superconductor logic families and thus such circuits require low-latency cloc
Externí odkaz:
http://arxiv.org/abs/2107.12020
In this article, two types of methods from different perspectives based on spectral normalization are described for ensuring the stability of the system controlled by a neural network. The first one is that the L2 gain of the feedback system is bound
Externí odkaz:
http://arxiv.org/abs/2012.13744
Adiabatic quantum-flux-parametron (AQFP) circuits can operate with extremely small energy dissipation (~1 zJ per junction at 5 GHz) and high sensitivity (~1 {\mu}A) owing to adiabatic switching. Thus, AQFP logic is suitable to use as readout interfac
Externí odkaz:
http://arxiv.org/abs/2010.13584