2022
DOI: 10.1007/s11761-022-00351-7
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Recent progress and perspectives on quantum computing for finance

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Cited by 4 publications
(6 citation statements)
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“…Moreover, the partial differential equation (PDE) governing the system evolution from the initial to the final Hamiltonian operators (3) together with the initial and final restrictions in time (( 7) and ( 8)), they serve as beforehand information to train the network. These inductive biases are helped by the physical insights provided regarding the loss function for the collocation points, by means of the recovery of adiabatic theory (11), the minimization of the action (10) and the decomposition of the gauge potential (13).…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…Moreover, the partial differential equation (PDE) governing the system evolution from the initial to the final Hamiltonian operators (3) together with the initial and final restrictions in time (( 7) and ( 8)), they serve as beforehand information to train the network. These inductive biases are helped by the physical insights provided regarding the loss function for the collocation points, by means of the recovery of adiabatic theory (11), the minimization of the action (10) and the decomposition of the gauge potential (13).…”
Section: Discussionmentioning
confidence: 99%
“…Ensuring optimal operator A CD (t) within specific conditions, including local development, robustness, availability, and experimental accessibility, hinges on minimizing physical action through (9), as evidenced by research studies such as [44]. This minimization aligns with defining the term related to physical loss as written in (10). Additionally, the temporal rate of change of the scheduling function, dλ/dt, dictates the influence of the non-adiabatic components on the system evolution under the total Hamiltonian operator.…”
Section: Methodsmentioning
confidence: 99%
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“…[6] 2023 presented ideas from Quantum physics to help and create a machine learning application using Quantum computing specifically for optimizing the computational complexity of massive data sets calculations [42]. Quantum Big Bang, a creature of Quantum computers, its assessment, and development are well explained by the author [1], they also discussed Quantum parallelism with its superposition and linearity concept that is helpful for infinite no. of inputs.DiVincenzo criteria are used in Quantum computing technologies, complemented with its specific physical layer feature [43].…”
Section: Twin Support Vector Machines Based On Fruit Fly Optimization...mentioning
confidence: 99%