Recent advances in quantum machine learning

Zhang, Yao; Ni, Qiang

doi:10.1002/que2.34

Cited by 106 publications

(74 citation statements)

References 38 publications

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“…Wittgenstein would not have been surprised by today’s struggle to interpret quantum theory (e.g., see p. 4, [ 117 ]: no consensus exists today on the interpretation of quantum mechanics). Weinberg [ 118 ] begins his search for a rational solution in his “ Trouble with Quantum Mechanics ”: “It is a bad sign that those physicists today who are most comfortable with quantum mechanics do not agree with one another about what it all means.”…”

Section: Discussion: New Theorymentioning

confidence: 99%

Quantum-Like Interdependence Theory Advances Autonomous Human–Machine Teams (A-HMTs)

Lawless

2020

Entropy

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As humanity grapples with the concept of autonomy for human–machine teams (A-HMTs), unresolved is the necessity for the control of autonomy that instills trust. For non-autonomous systems in states with a high degree of certainty, rational approaches exist to solve, model or control stable interactions; e.g., game theory, scale-free network theory, multi-agent systems, drone swarms. As an example, guided by artificial intelligence (AI, including machine learning, ML) or by human operators, swarms of drones have made spectacular gains in applications too numerous to list (e.g., crop management; mapping, surveillance and fire-fighting systems; weapon systems). But under states of uncertainty or where conflict exists, rational models fail, exactly where interdependence theory thrives. Large, coupled physical or information systems can also experience synergism or dysergism from interdependence. Synergistically, the best human teams are not only highly interdependent, but they also exploit interdependence to reduce uncertainty, the focus of this work-in-progress and roadmap. We have long argued that interdependence is fundamental to human autonomy in teams. But for A-HMTs, no mathematics exists to build from rational theory or social science for their design nor safe or effective operation, a severe weakness. Compared to the rational and traditional social theory, we hope to advance interdependence theory first by mapping similarities between quantum theory and our prior findings; e.g., to maintain interdependence, we previously established that boundaries reduce dysergic effects to allow teams to function (akin to blocking interference to prevent quantum decoherence). Second, we extend our prior findings with case studies to predict with interdependence theory that as uncertainty increases in non-factorable situations for humans, the duality in two-sided beliefs serves debaters who explore alternatives with tradeoffs in the search for the best path going forward. Third, applied to autonomous teams, we conclude that a machine in an A-HMT must be able to express itself to its human teammates in causal language however imperfectly.

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Section: Discussion: New Theorymentioning

confidence: 99%

Quantum-Like Interdependence Theory Advances Autonomous Human–Machine Teams (A-HMTs)

Lawless

2020

Entropy

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“…It should be also pointed out that in recent years, some physics-based social or network models have been studied [ 73 , 74 ]. Some new intersection of quantum and operational research are emerging, such as quantum machine learning [ 75 , 76 ].…”

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confidence: 99%

Social Laser Model for the Bandwagon Effect: Generation of Coherent Information Waves

Khrennikov

2020

Entropy

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During recent years our society has often been exposed to coherent information waves of high amplitudes. These are waves of huge social energy. Often they are of destructive character, a kind of information tsunami. However, they can also carry positive improvements in human society, as waves of decision-making matching rational recommendations of societal institutes. The main distinguishing features of these waves are their high amplitude, coherence (homogeneous character of social actions generated by them), and short time needed for their generation and relaxation. Such waves can be treated as large-scale exhibitions of the bandwagon effect. We show that this socio-psychic phenomenon can be modeled based on the recently developed social laser theory. This theory can be used to model stimulated amplification of coherent social actions. “Actions” are treated very generally, from mass protests to votes and other collective decisions, such as, e.g., acceptance (often unconscious) of some societal recommendations. In this paper, we concentrate on the theory of laser resonators, physical vs. social. For the latter, we analyze in detail the functioning of Internet-based echo chambers. Their main purpose is increasing of the power of the quantum information field as well as its coherence. Of course, the bandwagon effect is well known and well studied in social psychology. However, social laser theory gives the possibility to model it by using general formalism of quantum field theory. The paper contains the minimum of mathematics and it can be read by researchers working in psychological, cognitive, social, and political sciences; it might also be interesting for experts in information theory and artificial intelligence.

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“…He has served several terms as Governor of both IEEE ComSoc and of VTS. He has published 1900+ contributions at IEEE Xplore, 19 Wiley-IEEE Press books and has helped the fast-track career of 123 PhD students. Over 40 of them are Professors at various stages of their careers in academia and many of them are leading scientists in the wireless industry.…”

Section: Appendix B Proof Of Propositionmentioning

confidence: 99%

“…In general, the design of the function-evaluation circuit determines the application of the algorithm. Popular designs include the alternating operator circuit used in the quantum approximate optimization algorithm [14], the "unitary coupled-cluster ansatz" circuit applied in the computation of molecular energy based on variational eigensolver [16]- [18], as well as other heuristic designs aiming for quantum machine learning [19], [20]. Remarkably, the quantum approximate optimization algorithm has been applied to communication-related problems as well, such as channel decoding [21].…”

Section: Introductionmentioning

confidence: 99%

Sampling Overhead Analysis of Quantum Error Mitigation: Uncoded vs. Coded Systems

Xiong

Chandra

et al. 2020

IEEE Access

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Recent advances in quantum machine learning

Cited by 106 publications

References 38 publications

Quantum-Like Interdependence Theory Advances Autonomous Human–Machine Teams (A-HMTs)

Quantum-Like Interdependence Theory Advances Autonomous Human–Machine Teams (A-HMTs)

Social Laser Model for the Bandwagon Effect: Generation of Coherent Information Waves

Sampling Overhead Analysis of Quantum Error Mitigation: Uncoded vs. Coded Systems

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