collaborators

13 papers

quant-ph2026

A gauge-invariant theory of small Markovian errors in quantum gate sets

Juan Gonzalez De Mendoza, Corey Ostrove, Timothy Proctor +3

Noisy logic operations on a quantum computational register -- e.g., one or more qubits -- can be described by transfer matrices (a.k.a. CPTP maps or superoperators) that act linear…

quant-ph2026

Scalable linearized gate set tomography

Ashe Miller, Corey Ostrove, Jordan Hines +4

Characterizing errors on many-qubit quantum computers remains a key challenge to understanding and improving the performance of these devices. Current characterization methods eith…

quant-ph2026

Randomized Benchmarking with Synthetic Quantum Circuits

Yale Fan, Riley Murray, Thaddeus D. Ladd +2

Noise characterization methods such as randomized benchmarking (RB) are critical for the development of scalable quantum computers. Modern RB protocols for multiqubit systems extra…

quant-ph2026

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…

quant-ph2026

Mid-circuit logic executed in the qubit layer of a quantum processor

Cameron Jones, Piper Wysocki, MengKe Feng +16

Practical quantum computers need to continuously exchange data between classical and quantum subsystems during a computation. Mid-circuit measurements of a qubits state are transfe…

quant-ph2026

Benchmarking quantum computers

Timothy Proctor, Kevin Young, Andrew D. Baczewski +1

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. Go…