247 citations · 597 across the 27 of their papers we have counts for
28 papers
Simulating the dynamics of an SU(2) matrix model on a trapped-ion quantum computer
Gavin S. Hartnett, Haoran Liao, Enrico Rinaldi
Matrix models are an important class of systems in string theory and theoretical physics, with applications to random matrix theory, quantum chaos, and black holes. Hamiltonian Mon…
Fast, accurate, high-resolution simulation of large-scale Fermi-Hubbard models on a digital quantum processor
Gavin S. Hartnett, Khadijeh Sona Najafi, Aleksei Khindanov +5
We report experimental digital quantum simulation of the one-dimensional Fermi-Hubbard model on a superconducting quantum processor at a scale beyond the reach of exact statevector…
No need to calibrate: characterization and compilation for high-fidelity circuit execution using imperfect gates
Ashish Kakkar, Samuel Marsh, Yulun Wang +5
We propose and validate on real quantum computing hardware a new method for extended two-qubit gate set design, replacing iterative, fine calibration with fast characterization of…
Automated discovery of heralded ballistic graph state generators for fusion-based photonic quantum computation
Gavin S. Hartnett, Dave Kielpinski, Smarak Maity +3
Designing photonic circuits that prepare graph states with high fidelity and success probability is a central challenge in linear optical quantum computing. Existing approaches rel…
Achieving computational gains with quantum error-correction primitives: Generation of long-range entanglement enhanced by error detection
Haoran Liao, Gavin S. Hartnett, Ashish Kakkar +5
The resource overhead required to achieve net computational benefits from quantum error correction (QEC) limits its utility while current systems remain constrained in size, despit…
Resource-efficient context-aware dynamical decoupling embedding for arbitrary large-scale quantum algorithms
Paul Coote, Roman Dimov, Smarak Maity +3
We introduce and implement GraphDD: an efficient method for real-time, circuit-specific, optimal embedding of dynamical decoupling (DD) into executable quantum algorithms. We demon…
Integrated error-suppressed pipeline for quantum optimization of nontrivial binary combinatorial optimization problems on gate-model hardware at the 156-qubit scale
Natasha Sachdeva, Gavin S. Hartnett, Smarak Maity +12
We introduce a novel hybrid quantum-classical variational optimization method for unconstrained binary combinatorial optimization problems on gate-model quantum computers, integrat…
Learning to rank quantum circuits for hardware-optimized performance enhancement
Gavin S. Hartnett, Aaron Barbosa, Pranav S. Mundada +3
We introduce and experimentally test a machine-learning-based method for ranking logically equivalent quantum circuits based on expected performance estimates derived from a traini…
The Karzas-Latter-Seiler Model of a High-Altitude Electromagnetic Pulse: A New Numerical Code for an Old Model
Gavin S. Hartnett
A high-altitude nuclear blast can produce an electromagnetic pulse (EMP) capable of disrupting electronics on Earth. The basic phenomenology of the initial (E1) phase of the EMP wa…
A Rubik's Cube inspired approach to Clifford synthesis
Ning Bao, Gavin S. Hartnett
The problem of decomposing an arbitrary Clifford element into a sequence of Clifford gates is known as Clifford synthesis. Drawing inspiration from similarities between this and th…
The Hierarchical Parity Model
Gavin S Hartnett
Hierarchical spin-glasses are Ising spin models defined by recursively coupling together two equally-sized sub-systems. In this work a new hierarchical spin system is introduced wh…
Empirical Evaluation of Physical Adversarial Patch Attacks Against Overhead Object Detection Models
Gavin S. Hartnett, Li Ang Zhang, Caolionn O'Connell +2
Adversarial patches are images designed to fool otherwise well-performing neural network-based computer vision models. Although these attacks were initially conceived of and studie…
Modeling the Impact of Social Distancing and Targeted Vaccination on the Spread of COVID-19 through a Real City-Scale Contact Network
Gavin S. Hartnett, Edward Parker, Timothy R. Gulden +2
We use mobile device data to construct empirical interpersonal physical contact networks in the city of Portland, Oregon, both before and after social distancing measures were enac…
Deep Generative Modeling in Network Science with Applications to Public Policy Research
Gavin S. Hartnett, Raffaele Vardavas, Lawrence Baker +5
Network data is increasingly being used in quantitative, data-driven public policy research. These are typically very rich datasets that contain complex correlations and inter-depe…
A Probability Density Theory for Spin-Glass Systems
Gavin S. Hartnett, Masoud Mohseni
Spin-glass systems are universal models for representing many-body phenomena in statistical physics and computer science. High quality solutions of NP-hard combinatorial optimizati…
Self-Supervised Learning of Generative Spin-Glasses with Normalizing Flows
Gavin S. Hartnett, Masoud Mohseni
Spin-glasses are universal models that can capture complex behavior of many-body systems at the interface of statistical physics and computer science including discrete optimizatio…
Covariant Noether charges for type IIB and 11-dimensional supergravities
Óscar J. C. Dias, Gavin S. Hartnett, Jorge E. Santos
The covariant Noether charge formalism (also known as the covariant phase method) of Wald and collaborators, including its cohomological extension, is a manifestly covariant Hamilt…
Adversarial Examples for Cost-Sensitive Classifiers
Gavin S. Hartnett, Andrew J. Lohn, Alexander P. Sedlack
Motivated by safety-critical classification problems, we investigate adversarial attacks against cost-sensitive classifiers. We use current state-of-the-art adversarially-resistant…
Holographic dual of hot Polchinski-Strassler quark-gluon plasma
Iosif Bena, Oscar J. C. Dias, Gavin S. Hartnett +2
We construct the supergravity dual of the hot quark-gluon plasma in the mass-deformed Super-Yang-Mills theory (also known as ). The full ten-dimensional…
Replica Symmetry Breaking in Bipartite Spin Glasses and Neural Networks
Gavin Hartnett, Edward Parker, Edward Geist
Some interesting recent advances in the theoretical understanding of neural networks have been informed by results from the physics of disordered many-body systems. Motivated by th…
Constraining the mass of dark photons and axion-like particles through black-hole superradiance
Vitor Cardoso, Óscar J. C. Dias, Gavin S. Hartnett +3
Ultralight bosons and axion-like particles appear naturally in different scenarios and could solve some long-standing puzzles. Their detection is challenging, and all direct method…
Mass-deformed M2 branes in Stenzel space
Oscar J. C. Dias, Gavin S. Hartnett, Benjamin E. Niehoff +1
We obtain finite-temperature M2 black branes in 11-dimensional supergravity, in a -flux background whose self-dual part approaches a solution of Cvetič, Gibbons, Lü, and Pope,…
Localised Anti-Branes in Flux Backgrounds
Gavin S. Hartnett
Solutions corresponding to finite temperature (anti)-D3 and M2 branes localised in flux backgrounds are constructed in a linear approximation. The flux backgrounds considered are t…
A No Black Hole Theorem
Gavin S. Hartnett, Gary T. Horowitz, Kengo Maeda
We show that one cannot put a stationary (extended) black hole inside certain gravitating flux-tubes. This includes an electric flux-tube in five-dimensional Einstein-Maxwell theor…