157 citations · 307 across the 8 of their papers we have counts for
10 papers
Benchmarking the computational power of quantum computers
Timothy Proctor, Oliver Hart, Oliver Widzowski Maupin +27
Quantum computing hardware is advancing rapidly toward utility-scale machines that will enable scientific breakthroughs. Many teams are pursuing distinct and difficult-to-compare r…
On-Chip Verified Quantum Computation with an Ion-Trap Quantum Processing Unit
Cica Gustiani, Dominik Leichtle, Daniel Mills +3
We present and experimentally demonstrate a novel approach to verification and benchmarking of quantum computing, implementing it on an ion-trap quantum computer. Unlike previous i…
Distributing circuits over heterogeneous, modular quantum computing network architectures
Pablo Andres-Martinez, Tim Forrer, Daniel Mills +5
We consider a heterogeneous network of quantum computing modules, sparsely connected via Bell states. Operations across these connections constitute a computational bottleneck and…
Entanglement-efficient bipartite-distributed quantum computing
Jun-Yi Wu, Kosuke Matsui, Tim Forrer +5
In noisy intermediate-scale quantum computing, the limited scalability of a single quantum processing unit (QPU) can be extended through distributed quantum computing (DQC), in whi…
Volumetric Benchmarking of Error Mitigation with Qermit
Cristina Cirstoiu, Silas Dilkes, Daniel Mills +2
The detrimental effect of noise accumulates as quantum computers grow in size. In the case where devices are too small or noisy to perform error correction, error mitigation may be…
Application-Motivated, Holistic Benchmarking of a Full Quantum Computing Stack
Daniel Mills, Seyon Sivarajah, Travis L. Scholten +1
Quantum computing systems need to be benchmarked in terms of practical tasks they would be expected to do. Here, we propose 3 "application-motivated" circuit classes for benchmarki…