Quantum and Complexity Physics
Physics has the tools for investigating extremely complex systems, finding their most general properties and making detailed predictions about their behaviour.
This creates the grounds for both the development of future technologies, and the understanding of most complicated natural phenomena.
Find out more about this research area at Loughborough.
Members: A.Balanov, S. Savel’ev, M. Greenaway, and F. Kusmartsev
Our world is full complex phenomena, which goes well beyond physics, and even science in general. However, physicists can usually provide a very useful insight analysing experimental data within a framework of physical and mathematical concepts: symmetry interactions, conservation laws, dimensionality, stochasticity etc. To model these complex phenomena is critically important for our wellbeing, prosperity, security, health, to name a few. Think about decisions we need to come every day, whether to take a risky medical treatment or where to invest money. Modelling uncertain, noisy, or poorly mathematically formulated phenomena is what Complexity Physics is about.
The Department has a long-standing expertise in modelling complex (chaotic and stochastic) dynamical phenomena in solid state and condensed matter physics, economy (econophysics), human behaviour (psychophysics), complex network dynamics, brain physics, artificial intelligence among many other mathematically challenging phenomena. We have an ongoing collaboration with the Loughborough School of Business and Economics on modelling price dynamics and collective behaviour of economic agents, with School of Sport, Exercise and Health Sciences and Salk Institute for Biological Studies on modelling physiological and psychophysical experiments and now working on extending our research towards geological, populational, ecological, and environmental research.
Wojtusiak, AM, Balanov, A, Saveliev, S (2021) Intermittent and metastable chaos in a memristive artificial neuron with inertia, Chaos, Solitons & Fractals 142C, 110383.
Hramov, AE, Makarov, VV, Maximenko, VA, Koronovskii, AA, Balanov, A (2015) Intermittency route to chaos and broadband high-frequency generation in semiconductor superlattice coupled to external resonator, PHYSICAL REVIEW E, 92(2), ISSN: 1539-3755. DOI: 10.1103/PhysRevE.92.022911.
Hramov, AE, Makarov, VV, Koronovskii, AA, Kurkin, SA, Gaifullin, MB, Alexeeva, NV, Alekseev, KN, Greenaway, MT, Fromhold, TM, Patanè, A, Kusmartsev, FV, Maksimenko, VA, Moskalenko, OI, Balanov, AG (2014) Subterahertz chaos generation by coupling a superlattice to a linear resonator, Physical Review Letters, 112(11)
On the choice of GARCH parameters for efficient modelling of real stock price dynamics
KA Pokhilchuk, SE Savel’ev
Physica A: Statistical Mechanics and its Applications 448, 248-253
Chemotaxis of artificial microswimmers in active density waves
A Geiseler, P Hänggi, F Marchesoni, C Mulhern, S Savel'ev
Physical Review E 94 (1), 012613
Mechanisms of spatiotemporal selectivity in cortical area MT
AS Pawar, S Gepshtein, S Savel’ev, TD Albright
Neuron 101 (3), 514-527. e2
Statistical mechanics of economics I
Physics Letters A 375 (6), 966-973
Bose-Einstein distribution of money in a free-market economy. II
KE Kürten, FV Kusmartsev
EPL (Europhysics Letters) 93 (2), 28003
Members: Dr Alexandre Zagoskin, Dr Mark Everitt, Dr Alexander Balanov, Prof Sergey Saveliev, Dr John Samson, Dr Mark Greenaway, Dr Patrick Navez
The fabrication and control of macroscopic artificial quantum coherent structures, such as quantum bits (qubits), quantum computational devices and simulators, quantum sensors and quantum metamaterials, have achieved significant progress over the last 20 years. The fundamental impossibility of a direct modelling of such systems with classical means requires developing new approaches to their design, characterization, and optimization, which constitute an emerging discipline of quantum engineering. The development of this discipline will play the decisive role in the Second Quantum Revolution.