210 citations · 1.1k across the 50 of their papers we have counts for
18 papers · 1 filter
Conditions for Quantum Advantage in AC Power Flow
Parikshit Pareek, Abhijith Jayakumar, Carleton Coffrin +1
This paper aims to contextualize the requirements for Quantum Computing (QC) algorithms to achieve a quantum advantage in solving the alternating current power flow (ACPF) problem,…
Autoregressive pairwise Graphical Models efficiently find ground state representations of stoquastic Hamiltonians
Yuchen Pang, Abhijith Jayakumar, Evan McKinney +3
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…
Learning response functions of analog quantum computers: analysis of neutral-atom and superconducting platforms
Cenk Tüysüz, Abhijith Jayakumar, Carleton Coffrin +2
Analog quantum computation is an attractive paradigm for the simulation of time-dependent quantum systems. Programmable analog quantum computers have been realized in hardware usin…
Potential Applications of Quantum Computing at Los Alamos National Laboratory
Andreas Bärtschi, Francesco Caravelli, Carleton Coffrin +16
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 t…
QuantumAnnealing: A Julia Package for Simulating Dynamics of Transverse Field Ising Models
Zachary Morrell, Marc Vuffray, Sidhant Misra +1
Analog Quantum Computers are promising tools for improving performance on applications such as modeling behavior of quantum materials, providing fast heuristic solutions to optimiz…
Cost of Emulating a Small Quantum Annealing Problem in the Circuit-Model
Javier Gonzalez-Conde, Zachary Morrell, Marc Vuffray +2
Demonstrations of quantum advantage for certain sampling problems have generated considerable excitement for quantum computing and have further spurred the development of circuit-m…
Limitations of Fault-Tolerant Quantum Linear System Solvers for Quantum Power Flow
Parikshit Pareek, Abhijith Jayakumar, Carleton Coffrin +1
Quantum computers hold promise for solving problems intractable for classical computers, especially those with high time or space complexity. Practical quantum advantage can be sai…
Challenges and Opportunities in Quantum Optimization
Amira Abbas, Andris Ambainis, Brandon Augustino +43
Recent advances in quantum computers are demonstrating the ability to solve problems at a scale beyond brute force classical simulation. As such, a widespread interest in quantum a…
Exploring Non-Linear Programming Formulations in QuantumCircuitOpt for Optimal Circuit Design
Elena R. Henderson, Harsha Nagarajan, Carleton Coffrin
Given the limitations of current hardware, the theoretical gains promised by quantum computing remain unrealized across practical applications. But the gap between theory and hardw…
Universal framework for simultaneous tomography of quantum states and SPAM noise
Abhijith Jayakumar, Stefano Chessa, Carleton Coffrin +3
We present a general denoising algorithm for performing simultaneous tomography of quantum states and measurement noise. This algorithm allows us to fully characterize state prepar…
Optimization Applications as Quantum Performance Benchmarks
Thomas Lubinski, Carleton Coffrin, Catherine McGeoch +3
Combinatorial optimization is anticipated to be one of the primary use cases for quantum computation in the coming years. The Quantum Approximate Optimization Algorithm (QAOA) and…
Signatures of Open and Noisy Quantum Systems in Single-Qubit Quantum Annealing
Zachary Morrell, Marc Vuffray, Andrey Lokhov +3
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 sched…
Vector Field Visualization of Single-Qubit State Tomography
Adrien Suau, Marc Vuffray, Andrey Y. Lokhov +2
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 ex…
QuantumCircuitOpt: An Open-source Framework for Provably Optimal Quantum Circuit Design
Harsha Nagarajan, Owen Lockwood, Carleton Coffrin
In recent years, the quantum computing community has seen an explosion of novel methods to implement non-trivial quantum computations on near-term hardware. An important direction…
High-quality Thermal Gibbs Sampling with Quantum Annealing Hardware
Jon Nelson, Marc Vuffray, Andrey Y. Lokhov +2
Quantum Annealing (QA) was originally intended for accelerating the solution of combinatorial optimization tasks that have natural encodings as Ising models. However, recent experi…
Single-Qubit Cross Platform Comparison of Quantum Computing Hardware
Adrien Suau, Jon Nelson, Marc Vuffray +3
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 importa…
Single-Qubit Fidelity Assessment of Quantum Annealing Hardware
Jon Nelson, Marc Vuffray, Andrey Y. Lokhov +1
As a wide variety of quantum computing platforms become available, methods for assessing and comparing the performance of these devices are of increasing interest and importance. I…
Programmable Quantum Annealers as Noisy Gibbs Samplers
Marc Vuffray, Carleton Coffrin, Yaroslav A. Kharkov +1
Drawing independent samples from high-dimensional probability distributions represents the major computational bottleneck for modern algorithms, including powerful machine learning…