Guido Pagano

About

Guido Pagano is a Research Professor at Rice University and the Principal Investigator of the Pagano Research Group. His research focuses on quantum simulation, as indicated by the group's name, and he is involved in exploring advanced topics in quantum physics and related computational methods. The page lists his contact email as pagano at rice.edu and references his CV and Google Scholar profile, suggesting an active engagement in scholarly research and publication. The group includes graduate students, undergraduate students, and international visitors, highlighting a collaborative environment dedicated to advancing knowledge in quantum science.

Research topics

• Computer Science
• Physics
• Artificial Intelligence
• Political Science
• Quantum mechanics
• Library science
• Mathematical optimization
• Engineering
• Algorithm
• Public relations

Selected publications

• Quantum Simulation for High-Energy Physics

  PRX Quantum · 2023 · 298 citations

  It is for the first time that quantum simulation for high-energy physics (HEP) is studied in the U.S. decadal particle-physics community planning, and in fact until recently, this was not considered a mainstream topic in the community. This fact speaks of a remarkable rate of growth of this subfield over the past few years, stimulated by the impressive advancements in quantum information sciences (QIS) and associated technologies over the past decade, and the significant investment in this area…

  PublisherOA PDFDOI

• Quantum approximate optimization of the long-range Ising model with a trapped-ion quantum simulator

  Proceedings of the National Academy of Sciences · 2020 · 266 citations

  Quantum computers and simulators may offer significant advantages over their classical counterparts, providing insights into quantum many-body systems and possibly improving performance for solving exponentially hard problems, such as optimization and satisfiability. Here, we report the implementation of a low-depth Quantum Approximate Optimization Algorithm (QAOA) using an analog quantum simulator. We estimate the ground-state energy of the Transverse Field Ising Model with long-range interacti…

  DOI

• Trapped-ion quantum simulation of electron transfer models with tunable dissipation

  Science Advances · 2024-12-20 · 19 citations

  articleOpen accessSenior authorCorresponding

  Electron transfer is at the heart of many fundamental physical, chemical, and biochemical processes essential for life. The exact simulation of these reactions is often hindered by the large number of degrees of freedom and by the essential role of quantum effects. Here, we experimentally simulate a paradigmatic model of molecular electron transfer using a multispecies trapped-ion crystal, where the donor-acceptor gap, the electronic and vibronic couplings, and the bath relaxation dynamics can a…

  PublisherDOI

• Progress in Trapped-Ion Quantum Simulation

  Annual Review of Condensed Matter Physics · 2024-10-31 · 19 citations

  articleOpen access

  Trapped ions offer long coherence times and high-fidelity, programmable quantum operations, making them a promising platform for quantum simulation of condensed matter systems, quantum dynamics, and problems related to high-energy physics. We review selected developments in trapped-ion qubits and architectures and discuss quantum simulation applications that utilize these emerging capabilities. This review emphasizes developments in digital (gate-based) quantum simulations that exploit trapped-i…

  PublisherDOI

• Grover-QAOA for 3-SAT: quadratic speedup, fair-sampling, and parameter clustering

  Quantum Science and Technology · 2024-10-21 · 11 citations

  articleOpen access

  Abstract The SAT problem is a prototypical NP-complete problem of fundamental importance in computational complexity theory with many applications in science and engineering; as such, it has long served as an essential benchmark for classical and quantum algorithms. This study shows numerical evidence for a quadratic speedup of the Grover Quantum Approximate Optimization Algorithm (G-QAOA) over random sampling for finding all solutions to 3-SAT (All-SAT) and Max-SAT problems. G-QAOA is less reso…

  PublisherDOI

Recent grants

• CAREER: Taming Entanglement in Open Quantum Systems

  NSF · $704k · 2022–2026

Frequent coauthors

• C. Monroe

  Keck Hospital of USC

  152 shared

• Alexey V. Gorshkov

  89 shared

• Patrick Becker

  88 shared

• Harvey Kaplan

  Joint Quantum Institute

  87 shared

• A. Kyprianidis

  85 shared

• Paul Hess

  Middlebury College

  75 shared

• Wen Lin Tan

  Hunan Institute of Science and Technology

  74 shared

• Arinjoy De

  Joint Quantum Institute

  56 shared

Labs

• Pagano Research GroupPI

Education

• PhD, Physics

  Scuola Normale Superiore

  2015

• Master of Science, Physics

  Università degli Studi di Roma La Sapienza Dipartimento di Fisica

  2011

• Bachelor, Physics

  Università degli Studi di Milano Dipartimento di Fisica

  2009

• Bachelor, Economics

  Università Bocconi

  2006

Similar researchers at Rice University

• Frank Geurtsh-157
• Karl Ecklundh-142
• José N. Onuchich-126