469 citations · 922 across the 30 of their papers we have counts for
33 papers
LLM-Driven Evolutionary Generation of Multi-Objective Bayesian Optimization Algorithms
Georgios Laskaris, Reuben Brasher, Niki van Stein +3
Designing effective multi-objective Bayesian optimization (MOBO) algorithms requires balancing many interdependent design choices whose optimal configuration is problem-dependent a…
Non-Gravitational Acceleration in 3I ATLAS: Constraints on Exotic Volatile Outgassing in Interstellar Comets
Florian Neukart
The interstellar comet 3I/ATLAS displayed a small but statistically significant non-gravitational acceleration during its passage through the inner Solar System. Using a thermophys…
Information Wells and the Emergence of Primordial Black Holes in a Cyclic Quantum Universe
Florian Neukart, Eike Marx, Valerii Vinokur
Primordial black holes (PBHs) remain one of the most intriguing candidates for dark matter and a unique probe of physics at extreme curvatures. Here, we examine their formation in…
Extending the QMM Framework to the Strong and Weak Interactions
Florian Neukart, Eike Marx, Valerii Vinokur
We extend the Quantum Memory Matrix (QMM) framework, originally developed to reconcile quantum mechanics and general relativity by treating space-time as a dynamic information rese…
The Quantum Memory Matrix: A Unified Framework for the Black Hole Information Paradox
Florian Neukart, Reuben Brasher, Eike Marx
We present the Quantum Memory Matrix (QMM) hypothesis, which addresses the longstanding Black Hole Information Paradox rooted in the apparent conflict between Quantum Mechanics (QM…
Tensor networks for quantum computing
Aleksandr Berezutskii, Minzhao Liu, Atithi Acharya +25
In the rapidly evolving field of quantum computing, tensor networks serve as an important tool due to their multifaceted utility. In this paper, we review the diverse applications…
Reversible Imprinting and Retrieval of Quantum Information: Experimental Verification of the Quantum Memory Matrix Hypothesis
Florian Neukart, Eike Marx, Valerii Vinokur
We report the first end-to-end hardware-validated demonstration of a reversible Quantum Memory Matrix QMM imprint retrieval cycle. Using IBM Quantum back ends, we realize five impr…
Thermodynamic-Complexity Duality: Embedding Computational Hardness as a Thermodynamic Coordinate
Florian Neukart, Valerii Vinokur
We propose a duality between thermodynamics and computational complexity, elevating the difficulty of a computational task to the status of a thermodynamic variable. By introducing…
Geometry-Information Duality: Quantum Entanglement Contributions to Gravitational Dynamics
Florian Neukart
We propose a fundamental duality between the geometric properties of spacetime and the informational content of quantum fields. Specifically, we establish that the curvature of spa…
Integrated Deflector Shield Technology for Spacecraft
Florian Neukart
The increasing velocity and frequency of space missions necessitate advancements in spacecraft protection technologies to ensure mission success and the safety of onboard systems a…
Toward the Stars: Technological, Ethical, and Sociopolitical Dimensions of Interstellar Exploration
Florian Neukart
The endeavor of interstellar exploration is a convergence of technical innovation and profound ethical inquiry, challenging humanity to extend its reach beyond the confines of our…
Thermodynamic Perspectives on Computational Complexity: Exploring the P vs. NP Problem
Florian Neukart
The resolution of the P vs. NP problem, a cornerstone in computational theory, remains elusive despite extensive exploration through mathematical logic and algorithmic theory. This…
Comparison between Tensor Networks and Variational Quantum Classifier
Georgios Laskaris, Artem A. Melnikov, Michael R. Perelshtein +3
The primary objective of this paper is to conduct a comparative analysis between two Machine Learning approaches: Tensor Networks (TN) and Variational Quantum Classifiers (VQC). Wh…
Towards Sustainable Horizons: A Comprehensive Blueprint for Mars Colonization
Florian Neukart
Establishing a human colony on Mars is one of the most ambitious endeavors of our time. This paper provides a comprehensive assessment of the challenges and solutions related to Ma…
Magnetic Fusion Plasma Drive
Florian Neukart
In the evolving realm of space exploration, efficient propulsion methods are paramount to achieve interplanetary and possibly interstellar voyages. Traditional propulsion systems,…
Do we live in a [quantum] simulation? Constraints, observations, and experiments on the simulation hypothesis
Florian Neukart, Anders Indset, Markus Pflitsch +1
The question "What is real?" can be traced back to the shadows in Plato's cave. Two thousand years later, Rene Descartes lacked knowledge about arguing against an evil deceiver fee…
Quantum-Enhanced Selection Operators for Evolutionary Algorithms
David Von Dollen, Sheir Yarkoni, Daniel Weimer +2
Genetic algorithms have unique properties which are useful when applied to black box optimization. Using selection, crossover, and mutation operators, candidate solutions may be ob…
Practical application-specific advantage through hybrid quantum computing
Michael Perelshtein, Asel Sagingalieva, Karan Pinto +7
Quantum computing promises to tackle technological and industrial problems insurmountable for classical computers. However, today's quantum computers still have limited demonstrabl…
Multi-car paint shop optimization with quantum annealing
Sheir Yarkoni, Alex Alekseyenko, Michael Streif +3
We present a generalization of the binary paint shop problem (BPSP) to tackle an automotive industry application, the multi-car paint shop (MCPS) problem. The objective of the opti…
Quantum-Assisted Feature Selection for Vehicle Price Prediction Modeling
David Von Dollen, Florian Neukart, Daniel Weimer +1
Within machine learning model evaluation regimes, feature selection is a technique to reduce model complexity and improve model performance in regards to generalization, model fit,…
Beating classical heuristics for the binary paint shop problem with the quantum approximate optimization algorithm
Michael Streif, Sheir Yarkoni, Andrea Skolik +2
The binary paint shop problem (BPSP) is an APX-hard optimization problem of the automotive industry. In this work, we show how to use the Quantum Approximate Optimization Algorithm…
Quantum Shuttle: Traffic Navigation with Quantum Computing
Sheir Yarkoni, Florian Neukart, Eliane Moreno Gomez Tagle +5
The Web Summit conference in Lisbon, Portugal, is one of the biggest technology conferences in Europe, attended by tens of thousands of people every year. The high influx of people…
Semi-supervised time series classification method for quantum computing
Sheir Yarkoni, Andrii Kleshchonok, Yury Dzerin +2
In this paper we develop methods to solve two problems related to time series (TS) analysis using quantum computing: reconstruction and classification. We formulate the task of rec…
Quantum Approximate Optimization of Non-Planar Graph Problems on a Planar Superconducting Processor
Matthew P. Harrigan, Kevin J. Sung, Matthew Neeley +83
We demonstrate the application of the Google Sycamore superconducting qubit quantum processor to combinatorial optimization problems with the quantum approximate optimization algor…