Kevin Young
YOU?
Author Swipe
View article: A Theory of Direct Randomized Benchmarking
A Theory of Direct Randomized Benchmarking Open
Randomized benchmarking (RB) protocols are widely used to measure an average error rate for a set of quantum logic gates. However, the standard version of RB is limited because it only benchmarks a processor's native gates indirectly, by u…
View article: Practical Introduction to Benchmarking and Characterization of Quantum Computers
Practical Introduction to Benchmarking and Characterization of Quantum Computers Open
Rapid progress in quantum technology has transformed quantum computing and quantum information science from theoretical possibilities into tangible engineering challenges. Breakthroughs in quantum algorithms, quantum simulations, and quant…
View article: Quantum Characterization, Verification, and Validation
Quantum Characterization, Verification, and Validation Open
Quantum characterization, verification, and validation (QCVV) is a set of techniques to probe, describe, and assess the behavior of quantum bits (qubits), quantum information-processing registers, and quantum computers. QCVV protocols prob…
View article: Heisenberg-limited calibration of entangling gates with robust phase estimation
Heisenberg-limited calibration of entangling gates with robust phase estimation Open
The calibration of high-quality two-qubit entangling gates is an essential component in engineering large-scale, fault-tolerant quantum computers. However, many standard calibration techniques are based on randomized circuits that are only…
View article: Randomized Benchmarking with Synthetic Quantum Circuits
Randomized Benchmarking with Synthetic Quantum Circuits Open
Randomized benchmarking (RB) comprises a set of mature and widely used techniques for assessing the quality of operations on a quantum information-processing system. Modern RB protocols for multiqubit systems extract physically relevant er…
View article: Tomography of entangling two-qubit logic operations in exchange-coupled donor electron spin qubits
Tomography of entangling two-qubit logic operations in exchange-coupled donor electron spin qubits Open
Scalable quantum processors require high-fidelity universal quantum logic operations in a manufacturable physical platform. Donors in silicon provide atomic size, excellent quantum coherence and compatibility with standard semiconductor pr…
View article: Benchmarking quantum computers
Benchmarking quantum computers Open
The rapid pace of development in quantum computing technology has sparked a proliferation of benchmarks for assessing the performance of quantum computing hardware and software. Good benchmarks empower scientists, engineers, programmers, a…
View article: Learning a Quantum Computer's Capability
Learning a Quantum Computer's Capability Open
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. As modern quantum computers become increasingly hard to simul…
View article: Demonstrating Scalable Randomized Benchmarking of Universal Gate Sets
Demonstrating Scalable Randomized Benchmarking of Universal Gate Sets Open
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 qubits or cannot benchmark a universal gate set. Here, we …
View article: A simple asymptotically optimal Clifford circuit compilation algorithm
A simple asymptotically optimal Clifford circuit compilation algorithm Open
We present an algorithm that decomposes any $n$-qubit Clifford operator into a circuit consisting of three subcircuits containing only CNOT or CPHASE gates with layers of one-qubit gates before and after each of these subcircuits. As with …
View article: Tomography of entangling two-qubit logic operations in exchange-coupled donor electron spin qubits
Tomography of entangling two-qubit logic operations in exchange-coupled donor electron spin qubits Open
Scalable quantum processors require high-fidelity universal quantum logic operations in a manufacturable physical platform. Donors in silicon provide atomic size, excellent quantum coherence and compatibility with standard semiconductor pr…
View article: Streaming Quantum Gate Set Tomography Using the Extended Kalman Filter
Streaming Quantum Gate Set Tomography Using the Extended Kalman Filter Open
Closed-loop control algorithms for real-time calibration of quantum processors require efficient filters that can estimate physical error parameters based on streams of measured quantum circuit outcomes. Development of such filters is comp…
View article: Near-Minimal Gate Set Tomography Experiment Designs
Near-Minimal Gate Set Tomography Experiment Designs Open
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 many distinct quantum circuits. This has prevented their use…
View article: Two-Qubit Gate Set Tomography with Fewer Circuits
Two-Qubit Gate Set Tomography with Fewer Circuits Open
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, including gates, state preparations, and measurements. However, GST…
View article: Streaming quantum gate set tomography using the extended Kalman filter
Streaming quantum gate set tomography using the extended Kalman filter Open
Closed-loop control algorithms for real-time calibration of quantum processors require efficient filters that can estimate physical error parameters based on streams of measured quantum circuit outcomes. Development of such filters is comp…
View article: Learning a quantum computer's capability
Learning a quantum computer's capability Open
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. As modern quantum computers become increasingly hard to…
View article: Learning a quantum computer's capability using convolutional neural networks
Learning a quantum computer's capability using convolutional neural networks Open
This is supplemental data and code for: D. Hothem et al., Learning a quantum computer's capability using convolutional neural networks, (to be published). This folder contains all the data and the analysis code to generate the results pres…
View article: Learning a quantum computer's capability using convolutional neural networks
Learning a quantum computer's capability using convolutional neural networks Open
This is supplemental data and code for: D. Hothem et al., Learning a quantum computer's capability using convolutional neural networks, (to be published). This folder contains all the data and the analysis code to generate the results pres…
View article: The Best Points to Score: An Econometric Approach to Competitive League of Legends
The Best Points to Score: An Econometric Approach to Competitive League of Legends Open
Professional League of Legends is incredibly complex. With 150+ playable characters, 100s of items to buy, and thousands of decisions to make, the possibilities are endless. So how, then, are people supposed to consistently win? Many analy…
View article: A Theory of Direct Randomized Benchmarking
A Theory of Direct Randomized Benchmarking Open
Randomized benchmarking (RB) protocols are widely used to measure an average error rate for a set of quantum logic gates. However, the standard version of RB is limited because it only benchmarks a processor's native gates indirectly, by u…