
Applications in Project Engineering

Holography and tensor networks

Quantum ManyBody Systems

Quantum effects in biology

Tensor network theory

Quantum Thermodinamics
Applications in Project Engineering
Decision Making, Soft Computing, Fuzzy Sets and Systems, Decision
Support Systems: Project Management and Renewable Energy. Geographical information systems for the evaluation and selection of potential sites to renewable energy plants.
Holography and tensor networks
Whenever two very different areas of theoretical physics are found to be described by
the same mathematical structures, it frequently leads to discover unexpected insights
on both sides. It has been recently proposed that the fundamental threads from which a
spacetime fabric would emerge amount to the entanglement distribution between the
degrees of freedom of an underlying and in some sense, more fundamental quantum theory.
Our research interests try to build up bridges between the areas of quantum gravity and
string theory and the structure of the quantum entanglement encoded in the
wavefunctions of quantum many body systems. Taking advantage from the knowledge of
the last with tools such as tensor networks, initially devised by physicists in the
area of quantum information can be critical in order to understand the quantum
structure of spacetime.
Quantum ManyBody Systems
Quantum manybody systems appear very naturally in several fields of Physics, like Condensed Matter, High Energy Physics, quantum information or quantum biology. During the last years we have been working in the development of theoretical tools in order to describe manybody quantum systems.
The main problem in describing the states of a set of particles is that the number of parameters increases exponentially with the number of particles and then it is important to identify subsets in state space that are well suited to describe a certain system and allow for an efficient description. One may try to devise new ways of representing manyparticle states so that physical quantities can be efficiently calculated. In this direction the study of entanglement in manybody systems has led to a deeper understanding of quantum phase transitions and the performance of numerical algorithms such as the density matrix renormalization group (DMRG) with allows to reduce the exponential grows of the complexity of the quantum system . Understanding the structure of state space and particular states such as ground and thermal states is one of the major topics in the quantum information theoretical assessment of manybody systems.
We work on the development and implementation of DMRG–and its timedependent version tDMRG–methods, and use them to address problems drawn from an extremely broad range of topics in physics, biology and chemistry. The breadth of our DMRG and tDMRG work is strongly driven by our recent development of a DMRG/tDMRG method which accurately simulates the dynamics and ground states of a huge class of open quantum systems. With this tool we are currently investigating dissipation, decoherence and irreversibility in manybody systems and important theoretical models such as the spinboson model.
Quantum effects in biology
Biologists do not take a quantum physics course during their studies because so far they were able to make sense of biological phenomena without using the counterintuitive quantum laws of physics that govern the atomic scale. However, in recent years progress in experimental technology has revealed that quantum phenomena are relevant for fundamental biological processes such as photosynthesis, magnetoreception and olfaction.
Photosynthesis is a fundamental biological process which provides the primary source of energy for almost all terrestrial life. In its early stages, ambient photons are absorbed by optically active molecules (pigments) in an antenna complex, leading to the formation of molecular excited states (excitons). These then migrate by excitation energy transfer (EET) through pigment–protein complexes (PPCs) to a reaction centre where the exciton’s energy is used to release an electron. Remarkably, these processes often have a quantum efficiency of almost 100%, and uncovering the underlying biological design principles could inspire important new developments in artificial lightharvesting technologies. The potential novelty of a biomimetic approach to lightharvesting is underlined by the unexpected observation of robust, longlasting oscillatory features in twodimensional spectra of PPCs extracted from bacteria, algae and higher plants.Using ultrafast non linear spectroscopy, sustained beating between optically excited states lasting several hundreds of femtoseconds at room temperature, and up to nearly 2ps in the Fenna–Matthews–Olson (FMO) complex at 77K, have been observed. These experiments have been interpreted as evidence for electronic coherences between excitons, with lifetimes which are, surprisingly, over an order of magnitude larger than coherences between electronic ground and excited states. Such coherence times are long enough for EET and excitonic coherence to coexist, conditions under which a sophisticated interplay of quantum and dissipative processes theoretically optimizes transport efficiency. Although many proposals for how quantum effects might enhance biological lightharvesting have been advanced over the past five years, most of these have used simple, phenomenological methods to include decoherence.
Environment assisted biological quantum dynamics: It is remarkable that quantum phenomena can play a role in warm, wet and noisy biological systems. One important reason is that some biologically relevant phenomena take place on rather short timescales that prevent the environment from destroying quantum coherence completely. We have proposed that environmental noise can actually collaborate with quantum dynamics to achieve the best possible efficiency in biological processes. We continue to explore this phenomenon with the aim of uncovering the design principles by which nature has optimized quantum biological function in noisy environments.
Environment assisted biological quantum dynamics: Biological environments are not merely creating white noise but do actually possess a complex spectral structure. Indeed, an important aspect of biological environments are vibrations which originate from proteins and embedded molecules. At specific frequencies this vibrational motion can be longlived and interact in highly nontrivial fashion with electronic motion which we proposed to give rise to fast transport, molecular recognition or longlived quantum coherence in biological systems.
Environment assisted biological quantum dynamics: Theory in this field needs to be verified by experiment. Indeed, recent advances in nonlinear optical spectroscopy have demonstrated the presence of longlived quantum coherences in biological systems. These coherences reflect coherent features in biological processes, such as coherent transport and coherent electronicvibrational (vibronic) coupling. Identification of the microscopic origin of experimentally observed coherences is a key to understanding the role of quantum effects in biological processes.
Tensor network theory
A major research theme in our group is understands the nature of entanglement, correlations and quantum mutual information in ground states and thermal states of commonly encountered manybody systems. This has mainly involved exploiting and further developing sophisticated tensor network theory (TNT) techniques for efficiently simulating manybody quantum systems.
Currently this most prominently includes the density matrix renormalization group (DMRG) method and its generalization to timedependent phenomena via the timeevolving block decimation (TEBD) algorithm applicable to onedimensional systems. We are working in the extension of these methods to twodimensional quantum lattice systems.
Quantum Thermodinamics
The development of classical thermodynamics in the 19th century underpinned the Industrial Revolution, and the enormous economic growth and social changes that followed. Now, in the 21st century, the burgeoning quantum technological revolution promises unprecedented advances in our computation and communication capabilities, enabled by harnessing quantum coherence. As our
machines are scaled down into the quantum regime, it is of prime importance to understand how quantum mechanics affects the operation of these devices. This problem has attracted great interest to the field of quantum thermodynamics over the last few years.