59 citations · 158 across the 11 of their papers we have counts for
11 papers
Simulating Quantum Error Correction beyond Pauli Stochastic Errors
Jordan Hines, Corey Ostrove, Kenneth Rudinger +4
Quantum error correction (QEC), the lynchpin of fault-tolerant quantum computing (FTQC), is designed and validated against well-behaved Pauli stochastic error models. But in real-w…
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…
Benchmarking quantum computers with any quantum algorithm
Stefan K. Seritan, Aditya Dhumuntarao, Aidan Q. Wilber-Gauthier +5
Application-based benchmarks are increasingly used to quantify and compare quantum computers' performance. However, because contemporary quantum computers cannot run utility-scale…
Featuremetric benchmarking: Quantum computer benchmarks based on circuit features
Timothy Proctor, Anh Tran, Xingxin Liu +4
Benchmarks that concisely summarize the performance of many-qubit quantum computers are essential for measuring progress towards the goal of useful quantum computation. In this wor…
Near-Minimal Gate Set Tomography Experiment Designs
Corey Ostrove, Kenneth Rudinger, Stefan Seritan +2
Gate set tomography (GST) provides precise, self-consistent estimates of the noise channels for all of a quantum processor's logic gates. But GST experiments are large, involving m…
Two-Qubit Gate Set Tomography with Fewer Circuits
Kenneth M. Rudinger, Corey I. Ostrove, Stefan K. Seritan +4
Gate set tomography (GST) is a self-consistent and highly accurate method for the tomographic reconstruction of a quantum information processor's quantum logic operations, includin…
Assessment of error variation in high-fidelity two-qubit gates in silicon
Tuomo Tanttu, Wee Han Lim, Jonathan Y. Huang +24
Achieving high-fidelity entangling operations between qubits consistently is essential for the performance of multi-qubit systems and is a crucial factor in achieving fault-toleran…
Benchmarking quantum logic operations relative to thresholds for fault tolerance
Akel Hashim, Stefan Seritan, Timothy Proctor +6
Contemporary methods for benchmarking noisy quantum processors typically measure average error rates or process infidelities. However, thresholds for fault-tolerant quantum error c…
Demonstrating scalable randomized benchmarking of universal gate sets
Jordan Hines, Marie Lu, Ravi K. Naik +12
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 many…
Establishing trust in quantum computations
Timothy Proctor, Stefan Seritan, Erik Nielsen +4
Quantum computing hardware has grown sufficiently complex that it often can no longer be simulated by classical computers, but its computational power remains limited by errors. Th…
Experimental Characterization of Crosstalk Errors with Simultaneous Gate Set Tomography
Kenneth Rudinger, Craig W. Hogle, Ravi K. Naik +11
Crosstalk is a leading source of failure in multiqubit quantum information processors. It can arise from a wide range of disparate physical phenomena, and can introduce subtle corr…