Marc Vuffray
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View article: Cost of emulating a small quantum annealing problem in the circuit model
Cost of emulating a small quantum annealing problem in the circuit model Open
Demonstrations of quantum advantage for certain sampling problems have generated considerable excitement for quantum computing and have further spurred the development of circuit-model quantum computers, which represent quantum programs as…
View article: Autoregressive pairwise Graphical Models efficiently find ground state representations of stoquastic Hamiltonians
Autoregressive pairwise Graphical Models efficiently find ground state representations of stoquastic Hamiltonians Open
We introduce Autoregressive Graphical Models (AGMs) as an Ansatz for modeling the ground states of stoquastic Hamiltonians. Exact learning of these models for smaller systems show the dominance of the pairwise terms in the autoregressive d…
View article: Discrete distributions are learnable from metastable samples
Discrete distributions are learnable from metastable samples Open
Physically motivated stochastic dynamics are often used to sample from high-dimensional distributions. However such dynamics often get stuck in specific regions of their state space and mix very slowly to the desired stationary state. This…
View article: Learning energy-based representations of quantum many-body states
Learning energy-based representations of quantum many-body states Open
Efficient representation of quantum many-body states on classical computers is a problem of practical importance. An ideal representation of a quantum state combines a succinct characterization informed by the structure and symmetries of t…
View article: On the emerging potential of quantum annealing hardware for combinatorial optimization
On the emerging potential of quantum annealing hardware for combinatorial optimization Open
Over the past decade, the usefulness of quantum annealing hardware for combinatorial optimization has been the subject of much debate. Thus far, experimental benchmarking studies have indicated that quantum annealing hardware does not prov…
View article: Universal framework for simultaneous tomography of quantum states and SPAM noise
Universal framework for simultaneous tomography of quantum states and SPAM noise Open
We present a general denoising algorithm for performing of quantum states and measurement noise. This algorithm allows us to fully characterize state preparation and measurement (SPAM) errors present in any quantum system. Our method is b…
View article: Boundary-induced classical Generalized Gibbs Ensemble with angular momentum
Boundary-induced classical Generalized Gibbs Ensemble with angular momentum Open
We investigate the impact of the boundary shape on the thermalization behavior of a confined system of classical hard disks at low packing fraction and thus in the gas regime. We use both analytical calculations and numerical simulations, …
View article: Potential Applications of Quantum Computing at Los Alamos National Laboratory
Potential Applications of Quantum Computing at Los Alamos National Laboratory Open
The emergence of quantum computing technology over the last decade indicates the potential for a transformational impact in the study of quantum mechanical systems. It is natural to presume that such computing technologies would be valuabl…
View article: QuantumAnnealing: A Julia Package for Simulating Dynamics of Transverse Field Ising Models
QuantumAnnealing: A Julia Package for Simulating Dynamics of Transverse Field Ising Models Open
Analog Quantum Computers are promising tools for improving performance on applications such as modeling behavior of quantum materials, providing fast heuristic solutions to optimization problems, and simulating quantum systems. Due to the …
View article: An Efficient Quantum Algorithm for Linear System Problem in Tensor Format
An Efficient Quantum Algorithm for Linear System Problem in Tensor Format Open
Solving linear systems is at the foundation of many algorithms. Recently, quantum linear system algorithms (QLSAs) have attracted great attention since they converge to a solution exponentially faster than classical algorithms in terms of …
View article: Cost of Emulating a Small Quantum Annealing Problem in the Circuit-Model
Cost of Emulating a Small Quantum Annealing Problem in the Circuit-Model Open
Demonstrations of quantum advantage for certain sampling problems have generated considerable excitement for quantum computing and have further spurred the development of circuit-model quantum computers, which represent quantum programs as…
View article: Forced oscillation source localization from generator measurements
Forced oscillation source localization from generator measurements Open
Malfunctioning equipment, erroneous operating conditions or periodic load variations can cause periodic disturbances that would persist over time, creating an undesirable transfer of energy across the system -- an effect referred to as for…
View article: Single-Qubit Cross Platform Comparison of Quantum Computing Hardware
Single-Qubit Cross Platform Comparison of Quantum Computing Hardware Open
As a variety of quantum computing models and platforms become available, methods for assessing and comparing the performance of these devices are of increasing interest and importance. Despite being built of the same fundamental computatio…
View article: Universal framework for simultaneous tomography of quantum states and SPAM noise
Universal framework for simultaneous tomography of quantum states and SPAM noise Open
We present a general denoising algorithm for performing simultaneous tomography of quantum states and measurement noise. This algorithm allows us to fully characterize state preparation and measurement (SPAM) errors present in any quantum …
View article: Locating the Source of Forced Oscillations in Transmission Power Grids
Locating the Source of Forced Oscillations in Transmission Power Grids Open
A forced oscillation event in power grids refers to a state where malfunctioning or abnormally operating equipment causes persisting periodic disturbances in the system. While power grids are designed to damp most perturbations during stan…
View article: Learning Energy-Based Representations of Quantum Many-Body States
Learning Energy-Based Representations of Quantum Many-Body States Open
Efficient representation of quantum many-body states on classical computers is a problem of enormous practical interest. An ideal representation of a quantum state combines a succinct characterization informed by the system's structure and…
View article: Signatures of Open and Noisy Quantum Systems in Single-Qubit Quantum Annealing
Signatures of Open and Noisy Quantum Systems in Single-Qubit Quantum Annealing Open
We propose a quantum annealing protocol that effectively probes the dynamics of a single qubit on D-Wave's quantum annealing hardware. This protocol uses D-Wave's $h$-gain schedule functionality, which allows the rapid suppression of the l…
View article: Locating the source of forced oscillations in transmission power grids
Locating the source of forced oscillations in transmission power grids Open
Forced oscillation event in power grids refers to a state where malfunctioning or abnormally operating equipment causes persisting periodic disturbances in the system. While power grids are designed to damp most of perturbations during sta…
View article: On the Emerging Potential of Quantum Annealing Hardware for Combinatorial Optimization
On the Emerging Potential of Quantum Annealing Hardware for Combinatorial Optimization Open
Over the past decade, the usefulness of quantum annealing hardware for combinatorial optimization has been the subject of much debate. Thus far, experimental benchmarking studies have indicated that quantum annealing hardware does not prov…
View article: Vector Field Visualization of Single-Qubit State Tomography
Vector Field Visualization of Single-Qubit State Tomography Open
As the variety of commercially available quantum computers continues to\nincrease so does the need for tools that can characterize, verify and validate\nthese computers. This work explores using quantum state tomography for\ncharacterizing…
View article: Signatures of Open and Noisy Quantum Systems in Single-Qubit Quantum Annealing
Signatures of Open and Noisy Quantum Systems in Single-Qubit Quantum Annealing Open
We propose a quantum annealing protocol that more effectively probes the dynamics of a single qubit on D-Wave’s quantum annealing hardware. This protocol uses D-Wave’s h-gain schedule functionality, which allows the rapid quenching of the …
View article: Signatures of Open and Noisy Quantum Systems in Single-Qubit Quantum Annealing
Signatures of Open and Noisy Quantum Systems in Single-Qubit Quantum Annealing Open
We propose a quantum annealing protocol that more effectively probes the dynamics of a single qubit on D-Wave's quantum annealing hardware. This protocol uses D-Wave's h-gain schedule functionality, which allows the rapid quenching of the …
View article: Vector Field Visualization of Single-Qubit State Tomography
Vector Field Visualization of Single-Qubit State Tomography Open
As the variety of commercially available quantum computers continues to increase so does the need for tools that can characterize, verify and validate these computers. This work explores using quantum state tomography for characterizing th…
View article: High-Quality Thermal Gibbs Sampling with Quantum Annealing Hardware
High-Quality Thermal Gibbs Sampling with Quantum Annealing Hardware Open
Quantum Annealing (QA) was originally intended for accelerating the solution of combinatorial optimization tasks that have natural encodings as Ising models. However, recent experiments on QA hardware platforms have demonstrated that, in t…
View article: Programmable Quantum Annealers as Noisy Gibbs Samplers
Programmable Quantum Annealers as Noisy Gibbs Samplers Open
We study the sampling properties of physical realizations of quantum annealers which are implemented through programmable lattices of superconducting flux qubits. Comprehensive statistical analysis of the data produced by these quantum mac…
View article: Quantum Algorithm Implementations for Beginners
Quantum Algorithm Implementations for Beginners Open
As quantum computers become available to the general public, the need has arisen to train a cohort of quantum programmers, many of whom have been developing classical computer programs for most of their careers. While currently available q…
View article: Efficient learning of discrete graphical models*
Efficient learning of discrete graphical models* Open
Graphical models are useful tools for describing structured high-dimensional probability distributions. Development of efficient algorithms for learning graphical models with least amount of data remains an active research topic. Reconstru…
View article: Real-time Anomaly Detection and Classification in Streaming PMU Data
Real-time Anomaly Detection and Classification in Streaming PMU Data Open
Ensuring secure and reliable operations of the power grid is a primary concern of system operators. Phasor measurement units (PMUs) are rapidly being deployed in the grid to provide fast-sampled operational data that should enable quicker …