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Efficient option pricing with unary-based photonic computing chip and generative adversarial learning
In the modern financial industry system, the structure of products has become more and more complex, and the bottleneck constraint of classical computing power has already restricted the development of the financial industry.
Towards Quantum Federated Learning
This review serves as a first-of-its-kind comprehensive guide for researchers and practitioners interested in understanding and advancing the field of QFL.
NISQ Algorithm for Hamiltonian Simulation via Truncated Taylor Series
We recover differential equation-based NISQ algorithms for Hamiltonian simulation such as quantum assisted simulator (QAS) and variational quantum simulator (VQS) as particular cases of our algorithm.
Quantum Physics
Noisy intermediate scale quantum simulation of time dependent Hamiltonians
Quantum computers are expected to help us to achieve accurate simulation of the dynamics of many-body quantum systems.
Quantum Physics
