Application-oriented performance benchmarks for quantum computing
In this work, we introduce an open-source suite of quantum application-oriented
performance benchmarks that is designed to measure the effectiveness of quantum …
performance benchmarks that is designed to measure the effectiveness of quantum …
Benchmarking quantum computers
T Proctor, K Young, AD Baczewski… - arXiv preprint arXiv …, 2024 - arxiv.org
The rapid pace of development in quantum computing technology has sparked a
proliferation of benchmarks for assessing the performance of quantum computing hardware …
proliferation of benchmarks for assessing the performance of quantum computing hardware …
Demonstrating scalable randomized benchmarking of universal gate sets
Randomized benchmarking (RB) protocols are the most widely used methods for assessing
the performance of quantum gates. However, the existing RB methods either do not scale to …
the performance of quantum gates. However, the existing RB methods either do not scale to …
Multipartite entanglement in rabi-driven superconducting qubits
The exploration of highly connected networks of qubits is invaluable for implementing
various quantum algorithms and simulations, as it allows for entangling qubits with reduced …
various quantum algorithms and simulations, as it allows for entangling qubits with reduced …
Learning a Quantum Computer's Capability
D Hothem, K Young, T Catanach… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Accurately predicting a quantum computer's capability—which circuits it can run and how
well it can run them—is a foundational goal of quantum characterization and benchmarking …
well it can run them—is a foundational goal of quantum characterization and benchmarking …
Quantum circuit fidelity estimation using machine learning
A Vadali, R Kshirsagar, P Shyamsundar… - Quantum Machine …, 2024 - Springer
The computational power of real-world quantum computers is limited by errors. When using
quantum computers to perform algorithms which cannot be efficiently simulated classically, it …
quantum computers to perform algorithms which cannot be efficiently simulated classically, it …
A comprehensive cross-model framework for benchmarking the performance of quantum hamiltonian simulations
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 …
computing and forms the basis for many quantum algorithms. Benchmarking them is an …
Gaining confidence on the correct realization of arbitrary quantum computations
J Carrasco, M Langer, A Neven, B Kraus - Physical Review Research, 2024 - APS
We present verification protocols to gain confidence in the correct performance of a device
implementing an arbitrary quantum computation. The derivation of the protocols is based on …
implementing an arbitrary quantum computation. The derivation of the protocols is based on …
Estimating the coherence of noise in mid-scale quantum systems
While the power of quantum computers is commonly acknowledged to rise exponentially, it
is often overlooked that the complexity of quantum noise mechanisms generally grows much …
is often overlooked that the complexity of quantum noise mechanisms generally grows much …
Scalable Full-Stack Benchmarks for Quantum Computers
Quantum processors are now able to run quantum circuits that are infeasible to simulate
classically, creating a need for benchmarks that assess a quantum processor's rate of errors …
classically, creating a need for benchmarks that assess a quantum processor's rate of errors …