701 citations · 2.8k across the 42 of their papers we have counts for
44 papers
PPVM: A Circuit Simulation Framework for Digital Twins of Quantum Processors
Xiu-Zhe Luo, David Plankensteiner, Kai-Hsin Wu +12
Quantum computers are approaching the early fault-tolerant regime. Verifying the next generation of quantum hardware requires joint emulation of the quantum processor, hardware noi…
FT-Weave: Real-Time Compilation Framework for Reconfigurable Fault-Tolerant Quantum Architectures
Wan-Hsuan Lin, Milan Kornjača, Chen Zhao +2
Fault-tolerant quantum computing (FTQC) is essential for large-scale quantum computation, but realizing useful application throughput requires coordinating resource preparation, as…
Surface code logical operations on a superconducting quantum processor
Weiping Lin, Shaojun Guo, Yuwei Ma +144
Fault-tolerant quantum computation requires logical operations that manipulate encoded information while preserving quantum error-correction protection. In planar surface-code arch…
Learning and Generating Mixed States Prepared by Shallow Channel Circuits
Fangjun Hu, Christian Kokail, Milan Kornjača +5
Learning quantum states from measurement data is a central problem in quantum information and computational complexity. In this work, we study the problem of learning to generate m…
Transversal architecture for megaquop-scale quantum simulation with neutral atoms
Refaat Ismail, I-Chi Chen, Chen Zhao +6
Quantum computing experiments have made remarkable progress in demonstrating key components of quantum error correction, a prerequisite for scalable quantum computation. While we a…
Quantum criticality and nonequilibrium dynamics on a Lieb lattice of Rydberg atoms
Mark R. Hirsbrunner, Milan Kornjača, Rhine Samajdar +9
Neutral-atom quantum simulators offer a promising approach to the exploration of strongly interacting many-body systems, with applications spanning condensed matter, statistical me…
Non-native Quantum Generative Optimization with Adversarial Autoencoders
Blake A. Wilson, Jonathan Wurtz, Vahagn Mkhitaryan +5
Large-scale optimization problems are prevalent in several fields, including engineering, finance, and logistics. However, most optimization problems cannot be efficiently encoded…
Large-scale quantum reservoir learning with an analog quantum computer
Milan Kornjača, Hong-Ye Hu, Chen Zhao +50
Quantum machine learning has gained considerable attention as quantum technology advances, presenting a promising approach for efficiently learning complex data patterns. Despite t…
Low-Overhead Transversal Fault Tolerance for Universal Quantum Computation
Hengyun Zhou, Chen Zhao, Madelyn Cain +7
Fast, reliable logical operations are essential for realizing useful quantum computers. By redundantly encoding logical qubits into many physical qubits and using syndrome measurem…
Long-lived oscillations of metastable states in neutral atom systems
Siva Darbha, Milan Kornjača, Fangli Liu +7
Metastable states arise in a range of quantum systems and can be observed in various dynamical scenarios, including decay, bubble nucleation, and long-lived oscillations. The pheno…
False vacuum decay and nucleation dynamics in neutral atom systems
Siva Darbha, Milan Kornjača, Fangli Liu +7
Metastable states of quantum many-body systems with confinement offer a means to simulate false vacuum phenomenology, including non-equilibrium dynamical processes like decay by nu…
Solving non-native combinatorial optimization problems using hybrid quantum-classical algorithms
Jonathan Wurtz, Stefan Sack, Sheng-Tao Wang
Combinatorial optimization is a challenging problem applicable in a wide range of fields from logistics to finance. Recently, quantum computing has been used to attempt to solve th…
Probing quantum floating phases in Rydberg atom arrays
Jin Zhang, Sergio H. Cantú, Fangli Liu +10
The floating phase, a critical incommensurate phase, has been theoretically predicted as a potential intermediate phase between crystalline ordered and disordered phases. In this s…
Digital-analog quantum learning on Rydberg atom arrays
Jonathan Z. Lu, Lucy Jiao, Kristina Wolinski +6
We propose hybrid digital-analog learning algorithms on Rydberg atom arrays, combining the potentially practical utility and near-term realizability of quantum learning with the ra…
Scalar QED with Rydberg atoms
Yannick Meurice, James Corona, Sergio Cantu +6
We review recent suggestions to quantum simulate scalar electrodynamics (the lattice Abelian Higgs model) in dimensions with rectangular arrays of Rydberg atoms. We show that…
Quantum dynamics of a fully-blockaded Rydberg atom ensemble
Dominik S. Wild, Sabina Drăgoi, Corbin McElhanney +2
Classical simulation of quantum systems plays an important role in the study of many-body phenomena and in the benchmarking and verification of quantum technologies. Exact simulati…
Aquila: QuEra's 256-qubit neutral-atom quantum computer
Jonathan Wurtz, Alexei Bylinskii, Boris Braverman +10
The neutral-atom quantum computer "Aquila" is QuEra's latest device available through the Braket cloud service on Amazon Web Services (AWS). Aquila is a "field-programmable qubit a…
Trimer quantum spin liquid in a honeycomb array of Rydberg atoms
Milan Kornjača, Rhine Samajdar, Tommaso Macrì +3
Quantum spin liquids are elusive but paradigmatic examples of strongly correlated quantum states that are characterized by long-range quantum entanglement. Recently, the direct sig…
Quantum optimization with arbitrary connectivity using Rydberg atom arrays
Minh-Thi Nguyen, Jin-Guo Liu, Jonathan Wurtz +3
Programmable quantum systems based on Rydberg atom arrays have recently been used for hardware-efficient tests of quantum optimization algorithms [Ebadi et al., Science, 376, 1209…
Industry applications of neutral-atom quantum computing solving independent set problems
Jonathan Wurtz, Pedro L. S. Lopes, Christoph Gorgulla +3
Architectures for quantum computing based on neutral atoms have risen to prominence as candidates for both near and long-term applications. These devices are particularly well suit…
Computing solution space properties of combinatorial optimization problems via generic tensor networks
Jin-Guo Liu, Xun Gao, Madelyn Cain +2
We introduce a unified framework to compute the solution space properties of a broad class of combinatorial optimization problems. These properties include finding one of the optim…
Quantum Optimization of Maximum Independent Set using Rydberg Atom Arrays
Sepehr Ebadi, Alexander Keesling, Madelyn Cain +21
Realizing quantum speedup for practically relevant, computationally hard problems is a central challenge in quantum information science. Using Rydberg atom arrays with up to 289 qu…
Hardware-Efficient, Fault-Tolerant Quantum Computation with Rydberg Atoms
Iris Cong, Harry Levine, Alexander Keesling +3
Neutral atom arrays have recently emerged as a promising platform for quantum information processing. One important remaining roadblock for the large-scale application of these sys…
Enhancing Generative Models via Quantum Correlations
Xun Gao, Eric R. Anschuetz, Sheng-Tao Wang +2
Generative modeling using samples drawn from the probability distribution constitutes a powerful approach for unsupervised machine learning. Quantum mechanical systems can produce…