Results 111 to 120 of about 657 (192)
Quantum sensing of noises in one and two dimensional quantum walks
Quantum walk (QW) provides a versatile platform for the realization of quantum algorithms. Due to the existence of the inevitable noises in the walk, the different quantum algorithms accommodating to different noises are demanded.
Tian Chen, Xiong Zhang, Xiangdong Zhang
doaj +1 more source
Relative Arbitrage Opportunities With Interactions Among N Investors
ABSTRACT The relative arbitrage portfolio outperforms a benchmark portfolio over a given time‐horizon with probability one. With market price of risk processes depending on the market portfolio and investors, this paper analyzes the multi‐agent optimization of relative arbitrage opportunities in the coupled system of market and wealth dynamics.
Tomoyuki Ichiba, Nicole Tianjiao Yang
wiley +1 more source
A Model of Strategic Sustainable Investment
ABSTRACT We study a problem of optimal irreversible investment and emission reduction formulated as a nonzero‐sum dynamic game between an investor with environmental preferences and a firm. The game is set in continuous‐time on an infinite‐time horizon.
Tiziano De Angelis +2 more
wiley +1 more source
ABSTRACT We study a dynamic portfolio optimization problem under the mean–variance–variance (M‐V‐V) criterion proposed by Maccheroni et al. It is an analogue of the Arrow–Pratt approximation to the well‐known smooth ambiguity model. Under the standard Black–Scholes framework, we derive fully explicit equilibrium investment strategies in which a DM's ...
David Landriault, Bin Li, Yuanyuan Zhang
wiley +1 more source
Universal non-Markovianity detection in hybrid open quantum systems. [PDF]
Svozilík J +2 more
europepmc +1 more source
Gate operations for superconducting qubits and non-Markovianity
While the accuracy of qubit operations has been greatly improved in the last decade, further development is demanded to achieve the ultimate goal: a fault-tolerant quantum computer that can solve real-world problems more efficiently than classical ...
Kiyoto Nakamura, Joachim Ankerhold
doaj +1 more source
Preference‐Based Representations for Collective Agency
Abstract Computational accounts of learning and decision‐making in cognitive systems, and models thereof, such as reinforcement learning, typically assume that the behavior of individual agents is determined by an externally designated reward signal such that the agent's goal is the maximization of its expected accumulated reward under the state ...
Nadav Amir +2 more
wiley +1 more source
An innovative modelling proposal for the blood supply chain
Abstract Whole‐blood donation and apheresis are the only ways to obtain blood components for human use. Tools are being developed to improve the efficiency of blood donation systems by reducing waste, increasing donations and preventing shortages.
Jorge Pagán‐Ortiz +4 more
wiley +1 more source
Abstract figure legend Catecholaminergic polymorphic ventricular tachycardia (CPVT) variants in N terminal (NTD) and central domain (CD) but not pore domain induce a pathological RyR2 conformational shift upon protein kinase A (PKA) phosphorylation, similar to that seen in heart failure (HF), calcium/calmodulin‐dependent protein kinase II (CaMKII ...
Hitoshi Uchinoumi +11 more
wiley +1 more source
How AI‐Generated Feedback Hinders or Helps Learning: A Heterogeneous TNA Study of Learning Dynamics
ABSTRACT Background Despite growing integration of generative AI in educational settings, little is known about whether and to what extent AI‐generated real‐time feedback can support first‐grade students in solving multimodal mathematical tasks. Objectives Our study aims to examine student–AI feedback dynamics from a process‐oriented perspective ...
Sonsoles López‐Pernas +2 more
wiley +1 more source

