6 papers · 1 filter
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…
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…