148 citations · 160 across the 10 of their papers we have counts for
12 papers
Parallel Circuit Execution for Scalable Quantum Computation
Avimita Chatterjee, W. Michael Brown, Siyuan Niu +2
Today's quantum processors have tens to hundreds of physical qubits, but reliable execution of arbitrary circuits remains limited to fewer than 30 entangled qubits across hardware…
Benchmarking Quantum and Classical Machine Learning Models on Oncological Data
Sydney Leither, Thomas Lubinski, Michael Kubal +1
Machine learning is being increasingly used for the detection, diagnosis, and treatment of cancer. However, models often struggle with biological data due to high dimensionality, l…
Metriq: A Collaborative Platform for Benchmarking Quantum Computers
Alessandro Cosentino, Changhao Li, Vincent Russo +6
The fragmented landscape of quantum computer benchmarks, characterized by system-specific tools and inconsistent evaluation methodologies, hinders reliable cross-platform performan…
Software for Creating Scalable Benchmarks from Quantum Algorithms
Noah Siekierski, Stefan Seritan, Neer Patel +3
Creating scalable, reliable, and well-motivated benchmarks for quantum computers is challenging: straightforward approaches to benchmarking suffer from exponential scaling, are ins…
Multi-GPU Quantum Circuit Simulation and the Impact of Network Performance
W. Michael Brown, Anurag Ramesh, Thomas Lubinski +2
As is intrinsic to the fundamental goal of quantum computing, classical simulation of quantum algorithms is notoriously demanding in resource requirements. Nonetheless, simulation…
Platform-Agnostic Modular Architecture for Quantum Benchmarking
Neer Patel, Anish Giri, Hrushikesh Pramod Patil +6
We present a platform-agnostic modular architecture that addresses the increasingly fragmented landscape of quantum computing benchmarking by decoupling problem generation, circuit…
A Practical Framework for Assessing the Performance of Observable Estimation in Quantum Simulation
Siyuan Niu, Efekan Kökcü, Sonika Johri +5
Simulating dynamics of physical systems is a key application of quantum computing, with potential impact in fields such as condensed matter physics and quantum chemistry. However,…
A Comprehensive Cross-Model Framework for Benchmarking the Performance of Quantum Hamiltonian Simulations
Avimita Chatterjee, Sonny Rappaport, Anish Giri +5
Quantum Hamiltonian simulation is one of the most promising applications of quantum computing and forms the basis for many quantum algorithms. Benchmarking them is an important gau…
Quantum Algorithm Exploration using Application-Oriented Performance Benchmarks
Thomas Lubinski, Joshua J. Goings, Karl Mayer +11
The QED-C suite of Application-Oriented Benchmarks provides the ability to gauge performance characteristics of quantum computers as applied to real-world applications. Its benchma…
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…
Advancing Hybrid Quantum-Classical Computation with Real-Time Execution
Thomas Lubinski, Cassandra Granade, Amos Anderson +4
The use of mid-circuit measurement and qubit reset within quantum programs has been introduced recently and several applications demonstrated that perform conditional branching bas…
Application-Oriented Performance Benchmarks for Quantum Computing
Thomas Lubinski, Sonika Johri, Paul Varosy +6
In this work we introduce an open source suite of quantum application-oriented performance benchmarks that is designed to measure the effectiveness of quantum computing hardware at…