activity
20192026
most citedCutQC: Using Small Quantum Computers for Large Quantum Circuit Evaluations

158 citations · 364 across the 22 of their papers we have counts for

collaborators

25 papers

quant-ph2026

Resource Estimation via Efficient Compilation of Key Quantum Primitives

Colin Campbell, Rich Rines, Victory Omole +6

Resource estimation is a significant challenge in evaluating fault tolerant quantum computers. Existing approaches often rely on either fixed architectural assumptions or coarse an…

quant-ph2025

Toward Quantum-Enabled Biomarker Discovery: An Outlook from Q4Bio

Dhirpal Shah, Mariesa Teo, Ryan A. Robinett +12

We present a case study and forward-looking perspective on co-design for hybrid quantum-classical algorithms, centered on the goal of empirical quantum advantage (EQA), which we de…

quant-ph2025

Demonstration of a Logical Architecture Uniting Motion and In-Place Entanglement

Rich Rines, Benjamin Hall, Mariesa H. Teo +35

We demonstrate a logical neutral atom architecture that integrates atom motion with in-place entanglement to achieve lower overheads than entangling-zone approaches. Using a 114-qu…

quant-ph2025

Roadblocks and Opportunities in Quantum Algorithms -- Insights from the National Quantum Initiative Joint Algorithms Workshop, May 20--22, 2024

Eliot Kapit, Peter Love, Jeffrey Larson +6

The National Quantum Initiative Joint Algorithms Workshop brought together researchers across academia, national laboratories, and industry to assess the current landscape of quant…

quant-ph2025

k-Contextuality as a Heuristic for Memory Separations in Learning

Mariesa H. Teo, Willers Yang, James Sud +3

Classical machine learning models struggle with learning and prediction tasks on data sets exhibiting long-range correlations. Previously, the existence of a long-range correlation…

quant-ph2024★ 1 cited

Fault-Tolerant Operation and Materials Science with Neutral Atom Logical Qubits

Matt. J. Bedalov, Matt Blakely, Peter. D. Buttler +27

We report on the fault-tolerant operation of logical qubits on a neutral atom quantum computer, with logical performance surpassing physical performance for multiple circuits inclu…

quant-ph2024★ 7 cited

Hybrid Oscillator-Qubit Quantum Processors: Simulating Fermions, Bosons, and Gauge Fields

Eleanor Crane, Kevin C. Smith, Teague Tomesh +9

We develop a hybrid oscillator-qubit processor framework for quantum simulation of strongly correlated fermions and bosons that avoids the boson-to-qubit mapping overhead encounter…

quant-ph2024★ 21 cited

A Practical Introduction to Benchmarking and Characterization of Quantum Computers

Akel Hashim, Long B. Nguyen, Noah Goss +16

Rapid progress in quantum technology has transformed quantum computing and quantum information science from theoretical possibilities into tangible engineering challenges. Breakthr…

quant-ph2024★ 2 cited

Efficient Sparse State Preparation via Quantum Walks

Alvin Gonzales, Rebekah Herrman, Colin Campbell +4

Continuous-time quantum walks (CTQWs) on dynamic graphs, referred to as dynamic CTQWs, are a recently introduced universal model of computation that offers a new paradigm in which…

quant-ph2024

Scaling Up the Quantum Divide and Conquer Algorithm for Combinatorial Optimization

Ibrahim Cameron, Teague Tomesh, Zain Saleem +1

Quantum optimization as a field has largely been restricted by the constraints of current quantum computing hardware, as limitations on size, performance, and fidelity mean most no…

quant-ph2023

Training Quantum Boltzmann Machines with Coresets

Joshua Viszlai, Teague Tomesh, Pranav Gokhale +2

Recent work has proposed and explored using coreset techniques for quantum algorithms that operate on classical data sets to accelerate the applicability of these algorithms on nea…

quant-ph2023

Microarchitectures for Heterogeneous Superconducting Quantum Computers

Samuel Stein, Sara Sussman, Teague Tomesh +12

Noisy Intermediate-Scale Quantum Computing (NISQ) has dominated headlines in recent years, with the longer-term vision of Fault-Tolerant Quantum Computation (FTQC) offering signifi…

quant-ph2022★ 21 cited

Architectures for Multinode Superconducting Quantum Computers

James Ang, Gabriella Carini, Yanzhu Chen +30

Many proposals to scale quantum technology rely on modular or distributed designs where individual quantum processors, called nodes, are linked together to form one large multinode…

quant-ph2022★ 5 cited

SupercheQ: Quantum Advantage for Distributed Databases

E. R. Anschuetz, P. Gokhale, B. Tonekaboni +18

We introduce Supercheq, a family of quantum protocols that achieves asymptotic advantage over classical protocols for checking the equivalence of files, a task also known as finger…

quant-ph2022★ 5 cited

Quantum-classical tradeoffs and multi-controlled quantum gate decompositions in variational algorithms

Teague Tomesh, Nicholas Allen, Daniel Dilley +1

The computational capabilities of near-term quantum computers are limited by the noisy execution of gate operations and a limited number of physical qubits. Hybrid variational algo…

quant-ph2022

Optimized Quantum Program Execution Ordering to Mitigate Errors in Simulations of Quantum Systems

Teague Tomesh, Kaiwen Gui, Pranav Gokhale +4

Simulating the time evolution of a physical system at quantum mechanical levels of detail -- known as Hamiltonian Simulation (HS) -- is an important and interesting problem across…

quant-ph2022★ 10 cited

SupermarQ: A Scalable Quantum Benchmark Suite

Teague Tomesh, Pranav Gokhale, Victory Omole +7

The emergence of quantum computers as a new computational paradigm has been accompanied by speculation concerning the scope and timeline of their anticipated revolutionary changes.…

quant-ph2021★ 4 cited

Faster and More Reliable Quantum SWAPs via Native Gates

Pranav Gokhale, Teague Tomesh, Martin Suchara +1

Due to the sparse connectivity of superconducting quantum computers, qubit communication via SWAP gates accounts for the vast majority of overhead in quantum programs. We introduce…

quant-ph2021★ 10 cited

Divide and Conquer for Combinatorial Optimization and Distributed Quantum Computation

Teague Tomesh, Zain H. Saleem, Michael A. Perlin +3

Scaling the size of monolithic quantum computer systems is a difficult task. As the number of qubits within a device increases, a number of factors contribute to decreases in yield…

quant-ph2021★ 17 cited

Quantum Local Search with the Quantum Alternating Operator Ansatz

Teague Tomesh, Zain H. Saleem, Martin Suchara

We present a new hybrid, local search algorithm for quantum approximate optimization of constrained combinatorial optimization problems. We focus on the Maximum Independent Set pro…

quant-ph2020★ 158 cited

CutQC: Using Small Quantum Computers for Large Quantum Circuit Evaluations

Wei Tang, Teague Tomesh, Martin Suchara +2

Quantum computing (QC) is a new paradigm offering the potential of exponential speedups over classical computing for certain computational problems. Each additional qubit doubles t…

quant-ph2020

Coreset Clustering on Small Quantum Computers

Teague Tomesh, Pranav Gokhale, Eric R. Anschuetz +1

Many quantum algorithms for machine learning require access to classical data in superposition. However, for many natural data sets and algorithms, the overhead required to load th…

quant-ph2020★ 18 cited

Term Grouping and Travelling Salesperson for Digital Quantum Simulation

Kaiwen Gui, Teague Tomesh, Pranav Gokhale +4

Digital simulation of quantum dynamics by evaluating the time evolution of a Hamiltonian is the initially proposed application of quantum computing. The large number of quantum gat…

quant-ph2019★ 4 cited

Measurement Cost for Variational Quantum Eigensolver on Molecular Hamiltonians

Pranav Gokhale, Frederic T. Chong

Variational Quantum Eigensolver (VQE) is a promising algorithm for near-term quantum machines. It can be used to estimate the ground state energy of a molecule by performing separa…