51 citations · 73 across the 9 of their papers we have counts for
12 papers
Discovering state-of-the-art quantum circuits with large language models
Andi Gu, Alek H. Kemeny, Susanne F. Yelin +1
Significant efforts are currently being directed toward the implementation of large-scale quantum information processors, but realizing useful quantum advantage also requires the d…
Single-shot magic state factories for quantum LDPC codes
Varun Menon, Rohan Mehta, Andi Gu +8
Quantum low-density parity-check (qLDPC) codes can substantially reduce the qubit overhead of fault-tolerant quantum computation, but any useful architecture based on such codes al…
Cycle Codes and Decoded Quantum Interferometry
Anuj Apte, Shouvanik Chakrabarti, Andi Gu +6
Decoded Quantum Interferometry (DQI) reduces optimization problems with two-variable constraints to decoding cycle codes. For one such problem, namely MaxCut, prior work showed tha…
Strategic Plan for Neutral Atom Quantum Computation
Adrian J. Menssen, Tout Wang, Michael Gullans +53
We present a strategic plan for neutral atom quantum computation, bringing together hardware development and theory advancements to achieve the goal of practical quantum advantage.…
Learning Arbitrary Lindbladians with Quantum Error Correction
Nikita Romanov, Petr Ivashkov, Weiyuan Gong +4
We study ansatz-free Lindbladian learning, the problem of reconstructing the generator of an open quantum system without prior knowledge of its Hamiltonian or dissipator structures…
Scalable Neural Decoders for Practical Fault-Tolerant Quantum Computation
Andi Gu, J. Pablo Bonilla Ataides, Mikhail D. Lukin +1
Quantum error correction (QEC) is essential for scalable quantum computing. However, it requires classical decoders that are fast and accurate enough to keep pace with quantum hard…
Towards Ultra-High-Rate Quantum Error Correction with Reconfigurable Atom Arrays
Chen Zhao, Casey Duckering, Andi Gu +2
Quantum error correction is widely believed to be essential for large-scale quantum computation, but the required qubit overhead remains a central challenge. Quantum low-density pa…
Ansatz-Free Learning of Lindbladian Dynamics In Situ
Petr Ivashkov, Nikita Romanov, Weiyuan Gong +3
Characterizing the dynamics of open quantum systems at the level of microscopic interactions and error mechanisms is essential for calibrating quantum hardware, designing robust si…
Neural Decoders for Universal Quantum Algorithms
J. Pablo Bonilla Ataides, Andi Gu, Susanne F. Yelin +1
Fault-tolerant quantum computing demands decoders that are fast, accurate, and adaptable to circuit structure and realistic noise. While machine learning (ML) decoders have demonst…
Architectural mechanisms of a universal fault-tolerant quantum computer
Dolev Bluvstein, Alexandra A. Geim, Sophie H. Li +20
Quantum error correction (QEC) is believed to be essential for the realization of large-scale quantum computers. However, due to the complexity of operating on the encoded `logical…
Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows
Hong-Ye Hu, Andi Gu, Swarnadeep Majumder +7
Extracting information efficiently from quantum systems is a major component of quantum information processing tasks. Randomized measurements, or classical shadows, enable predicti…
Exploiting Inductive Biases in Video Modeling through Neural CDEs
Johnathan Chiu, Samuel Duffield, Max Hunter-Gordon +3
We introduce a novel approach to video modeling that leverages controlled differential equations (CDEs) to address key challenges in video tasks, notably video interpolation and ma…