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Found 7 papers, 1 papers with code
Efficient Hamiltonian Simulation for Solving Option Price Dynamics
Here, we present a digital quantum algorithm to solve Black-Scholes equation on a quantum computer by mapping it to the Schr\"odinger equation.
Quantum Physics General Finance Pricing of Securities
Forecasting Election Polls with Spin Systems
We show that the problem of political forecasting, i. e, predicting the result of elections and referendums, can be mapped to finding the ground state configuration of a classical spin system.
Combinatorial Optimization
Sentiment Analysis
Physics and Society
Statistical Mechanics
Quantum Physics
Quantized Three-Ion-Channel Neuron Model for Neural Action Potentials
We study the behavior of both ion channel conductivities and the circuit voltage, and we compare the results with those of the single channel, for a given quantum state of the source.
Towards Pricing Financial Derivatives with an IBM Quantum Computer
Pricing interest-rate financial derivatives is a major problem in finance, in which it is crucial to accurately reproduce the time-evolution of interest rates.
Quantum Physics Mesoscale and Nanoscale Physics
Experimental Implementation of a Quantum Autoencoder via Quantum Adders
Quantum autoencoders allow for reducing the amount of resources in a quantum computation by mapping the original Hilbert space onto a reduced space with the relevant information.
Quantized Single-Ion-Channel Hodgkin-Huxley Model for Quantum Neurons
This reduced version is essentially a classical memristor, a resistor whose resistance depends on the history of electric signals that have crossed it, coupled to a voltage source and a capacitor.
Perceptrons from Memristors
Memristors, resistors with memory whose outputs depend on the history of their inputs, have been used with success in neuromorphic architectures, particularly as synapses and non-volatile memories.
