Decision-making under uncertainty: a quantum value operator approach
- URL: http://arxiv.org/abs/2206.05185v2
- Date: Thu, 30 Jun 2022 23:18:08 GMT
- Title: Decision-making under uncertainty: a quantum value operator approach
- Authors: Lizhi Xin, Houwen Xin
- Abstract summary: We propose a quantum expected value theory for decision-making under uncertainty.
Value operator guides people to choose corresponding actions based on their subjective beliefs through objective world.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- Abstract: We propose a quantum expected value theory for decision-making under
uncertainty. Quantum density operator as value operator is proposed to simulate
people's subjective beliefs. Value operator guides people to choose
corresponding actions based on their subjective beliefs through objective
world. The value operator can be constructed from quantum gates and logic
operations as a quantum decision tree. The genetic programming is used to
optimize and auto-generate quantum decision trees.
Related papers
- Quantum Probabilities Are Objective Degrees of Epistemic Justification [0.0]
QBism is one of the most widely discussed'subjective' interpretations of quantum mechanics.
This paper takes QBism as a starting point, but allows objectivity to enter from the get-go.
arXiv Detail & Related papers (2024-10-24T22:07:34Z) - Absolute dimensionality of quantum ensembles [41.94295877935867]
The dimension of a quantum state is traditionally seen as the number of superposed distinguishable states in a given basis.
We propose an absolute, i.e.basis-independent, notion of dimensionality for ensembles of quantum states.
arXiv Detail & Related papers (2024-09-03T09:54:15Z) - Synthesizing the Born rule with reinforcement learning [0.0]
We investigate how a realistic (hence non-ideal) agent might deviate from the Born rule in its decisions.
We quantify how far the algorithm's decision-making behavior departs from the ideal form of the Born rule and investigate the limiting factors.
arXiv Detail & Related papers (2024-04-29T18:00:12Z) - Determining the ability for universal quantum computing: Testing
controllability via dimensional expressivity [39.58317527488534]
Controllability tests can be used in the design of quantum devices to reduce the number of external controls.
We devise a hybrid quantum-classical algorithm based on a parametrized quantum circuit.
arXiv Detail & Related papers (2023-08-01T15:33:41Z) - Quantum Conformal Prediction for Reliable Uncertainty Quantification in
Quantum Machine Learning [47.991114317813555]
Quantum models implement implicit probabilistic predictors that produce multiple random decisions for each input through measurement shots.
This paper proposes to leverage such randomness to define prediction sets for both classification and regression that provably capture the uncertainty of the model.
arXiv Detail & Related papers (2023-04-06T22:05:21Z) - Quantum Circuit Components for Cognitive Decision-Making [0.12891210250935145]
This paper demonstrates that some non-classical models of human decision-making can be run successfully as circuits on quantum computers.
The claim is not that the human brain uses qubits and quantum circuits explicitly, but that the mathematics shared between quantum cognition and quantum computing motivates the exploration of quantum computers for cognition modeling.
arXiv Detail & Related papers (2023-02-06T18:52:10Z) - Approximation of the Nearest Classical-Classical State to a Quantum
State [0.0]
A revolutionary step in computation is driven by quantumness or quantum correlations, which are permanent in entanglements but often in separable states.
The exact quantification of quantumness is an NP-hard problem; thus, we consider alternative approaches to approximate it.
We show that the objective value decreases along the flow by proofs and numerical results.
arXiv Detail & Related papers (2023-01-23T08:26:17Z) - Can the observer know the state of Schrodinger's cat without opening the
box? [0.0]
We propose a quantum expected value theory for decision-making under uncertainty.
Value operator is proposed to guide observers to choose corresponding actions based on their subjective beliefs.
arXiv Detail & Related papers (2022-08-28T14:30:36Z) - About the description of physical reality of Bell's experiment [91.3755431537592]
A hidden variables model complying with the simplest form of Local Realism was recently introduced.
It reproduces Quantum Mechanics' predictions for an even ideally perfect Bell's experiment.
A new type of quantum computer does not exist yet, not even in theory.
arXiv Detail & Related papers (2021-09-06T15:55:13Z) - Facial Expression Recognition on a Quantum Computer [68.8204255655161]
We show a possible solution to facial expression recognition using a quantum machine learning approach.
We define a quantum circuit that manipulates the graphs adjacency matrices encoded into the amplitudes of some appropriately defined quantum states.
arXiv Detail & Related papers (2021-02-09T13:48:00Z) - Secure Two-Party Quantum Computation Over Classical Channels [63.97763079214294]
We consider the setting where the two parties (a classical Alice and a quantum Bob) can communicate only via a classical channel.
We show that it is in general impossible to realize a two-party quantum functionality with black-box simulation in the case of malicious quantum adversaries.
We provide a compiler that takes as input a classical proof of quantum knowledge (PoQK) protocol for a QMA relation R and outputs a zero-knowledge PoQK for R that can be verified by classical parties.
arXiv Detail & Related papers (2020-10-15T17:55:31Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.