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Symmetry is a fundamental characteristic in nature. Understanding the mechanisms that break symmetries is essential to scientific research. Spontaneous symmetry breaking (SSB), in particular, occurs when thermal or quantum fluctuations drive a system from a symmetric state into an ordered state, as it occurs when a liquid turns into a solid. This mechanism allows researchers to classify different phases of matter according to the different patterns generated by the broken symmetry.

In the last decades, topology has also been recognized as a crucial characteristic to describe how matter is organized at the fundamental level. In this case, it is no longer the breaking of certain symmetries, but their conservation, which gives rise to novel states of matter, the so-called symmetry-protected topological (SPT) phases. Different topological phases might present the same symmetries, but they can be distinguished by a global topological invariant, which takes integer values and is preserved under continuous deformations.

Current research in condensed matter physics aims to understand how symmetry breaking and symmetry protection compete, in particular in the presence of interactions. In a recent paper published in Nature Communications, ICFO researchers Daniel Gonzalez and Przemyslaw Grzybowski, led by Alexandre Dauphin and ICREA Prof. at ICFO Maciej Lewenstein, in collaboration with Alejandro Bermudez from the Universidad Complutense in Madrid, report how these two processes cooperate, giving rise to new strongly-correlated topological effects.

Provides an introduction to quantum computing for non-physicists, as well as an introduction to genetic programming for non-computer-scientists. The book explores several ways in which genetic programming can support automatic quantum computer programming and presents detailed descriptions of specific techniques, along with several examples of their human-competitive performance on specific problems. Source code for the author’s QGAME quantum computer simulator is included as an appendix, and pointers to additional online resources furnish the reader with an array of tools for automatic quantum computer programming.

Researchers at the University of Chicago published a novel technique for improving the reliability of quantum computers by accessing higher energy levels than traditionally considered. Most prior work in quantum computation deals with “qubits,” the quantum analogue of binary bits that encode either zero or one. The new work instead leverages “qutrits,” quantum analogues of three-level trits capable of representing zero, one or two.

The UChicago group worked alongside researchers based at Duke University. Both groups are part of the EPiQC (Enabling Practical-scale Quantum Computation) collaboration, an NSF Expedition in Computing. EPiQC’s interdisciplinary research spans from algorithm and software development to architecture and design, with the ultimate goal of more quickly realizing the enormous potential of computing for scientific discovery and computing innovation.