QuICS

Universal behaviors of nonequilibrium quantum many-body systems may be usefully captured by the dynamics of quantum information measures. Notably, the dynamics of bipartite entanglement entropy can distinguish integrable quantum systems from chaotic ones. The two most successful effective theories describing the evolution of entanglement from a low-entangled initial state are the quasiparticle picture and the membrane picture, which provide distinct predictions for integrable and chaotic systems, respectively.

Aleksander Kubica, Assistant Professor at Yale University and former Research Scientist at AWS will give a career talk on his experiences in both industry and academia, present a short lecture on quantum chess, and take questions from the audience.  

A key objective in nuclear and high-energy physics is to describe nonequilibrium dynamics of matter, e.g., in the early universe and in particle colliders, starting from the Standard Model. Classical-computing methods, via the framework of lattice gauge theory, have experienced limited success in this mission. Quantum simulation of lattice gauge theories holds promise for overcoming computational limitations. Because of local constraints (Gauss's laws), lattice gauge theories have an intricate Hilbert-space structure.

In this Career Connections talk, Dr. Mihir Bhaskar (CEO and Co-Founder of Lightsynq) will share insights from his career journey: first building a science experiment in the lab as a PhD student, then moving to AWS to launch a new R&D initiative, and finally starting a quantum technology company to build a product. He will also talk about the integrated photonic capabilities his team has developed along the way, and how he thinks they can solve key bottlenecks in quantum information technology.

We introduce parallel-sequential (PS) circuits, a family of quantum circuits characterized by a tunable degree of entanglement and maximum correlation length, which interpolates between brickwall and sequential circuits. We provide evidence that on noisy devices, properly chosen PS circuits suppress error proliferation and exhibit superior trainability and evaluation accuracy when employed as variational circuits, thus outperforming brickwall, sequential, and log-depth circuits in [Malz*, Styliaris*, Wei*, Cirac, PRL 2024] across most parameter regimes.