We are an experimental research group at the Physics and Astronomy Department at Rice University. We use individual atoms as carriers of information and control precisely their mutual interactions. This allows to investigate quantum many-body physics and perform quantum algorithms, exploring … Continue reading

# Confinement of Excitations in Spin Chains

Understanding how fast quantum information propagates in a many-body system is of crucial importance from a fundamental point of view as well as for quantum computing applications. Under which conditions a quantum excitation spreads across the entire system or remains confined and thermalizes very slowly? If you want to know the answer, check out our new paper on the arXiv on domain wall confinement in a trapped-ion quantum simulator!

**Observation of Domain Wall Confinement and Dynamics in a Quantum Simulator:**W. L. Tan, P. Becker, F. Liu, G. Pagano, K. S. Collins, A. De, L. Feng, H. B. Kaplan, A. Kyprianidis, R. Lundgren, W. Morong, S. Whitsitt, A. V. Gorshkov, C. Monroe, arXiv:1912.11117 (2019)

# Quantum Simulation of High Energy Physics with Trapped ions

Gauge field theories play a central role in modern physics and are at the heart of the Standard Model of elementary particles and interactions. Check out on the arXiv our detailed proposal on how to simulate high energy physics with a trapped-ion quantum processor!

**Towards analog quantum simulations of lattice gauge theories with trapped ions:**Z. Davoudi, M. Hafezi, C. Monroe, G. Pagano, A. Seif, A. Shaw:

arXiv:1908.03210 (2019)

# Variational Optimization Quantum Algorithms with Trapped Ions

Quantum devices might be used to solve to solve hard optimization problems. A first step toward this goal has being achieved at University of Maryland, where a joint theory and experimental collaboration led to the experimental realization of the quantum approximate optimization algorithm (QAOA). By using a cryogenic trapped-ion quantum simulator we run the QAOA with up to 40 qubits, the largest realization to date. Check out our paper on the arXiv!

**Quantum Approximate Optimization with a Trapped-Ion Quantum Simulator**, G. Pagano, A. Bapat, P. Becker, K. S. Collins, A. De, P. W. Hess, H. B. Kaplan, A. Kyprianidis, W. L. Tan, C. Baldwin, L. T. Brady, A. Deshpande, F. Liu, S. Jordan, A. V. Gorshkov, C. Monroe, arXiv:1906.02700 (2019).

# Two-electron Atoms in Programmable Tweezer Arrays

We conducted a detailed study designing a reliable scheme for transporting and merging arbitrary pairs of two-electron atoms in optical tweezers to entangle them via optically-gated spin-exchange interactions, leading to a collisional gate scheme that is largely insensitive to beam pointing and intensity fluctuations. Our paper got the front cover of Advanced Quantum Technologies!

**Fast and scalable quantum information processing with two-electron atoms in optical tweezer arrays**, G. Pagano, F. Scazza, M. Foss-Feig, Adv. Quantum Technol., 1800067 (2019).