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20022026
most citedSymmetric Informationally Complete Quantum Measurements

1.1k citations · 5.5k across the 86 of their papers we have counts for

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quant-ph2026

The Impact of Markovian Errors on Random Circuits

Anthony M. Polloreno, Timothy Proctor, Robin Blume-Kohout

Randomized benchmarking (RB) returns a single decay parameter or gate error rate, but when the noise is gate-dependent that parameter is notoriously difficult to interpret. We stud…

quant-ph2026

Logical gate set tomography

Piper C. Wysocki, Juan Gonzalez De Mendoza, Karl Mayer +11

Quantum error correction (QEC) can strongly suppress noise, but predicting whether a computation succeeds requires understanding not only how much effective noise persists after QE…

quant-ph2026

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…

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

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

The Road to Useful Quantum Computers

Timothy Proctor, Robin Blume-Kohout, Andrew Baczewski

Building a useful quantum computer is a grand science and engineering challenge, currently pursued intensely by teams around the world. In the 1980s, Richard Feynman and Yuri Manin…

quant-ph2026

Detailed, interpretable characterization of mid-circuit measurement on a transmon qubit

Piper C. Wysocki, Luke D. Burkhart, Madeline H. Morocco +12

Mid-circuit measurements (MCMs) are critical components of the quantum error correction protocols expected to enable utility-scale quantum computing. MCMs can be modeled by quantum…

quant-ph2025

Fast-feedback protocols for calibration and drift control in quantum computers

Alicia B. Magann, Nathan E. Miller, Robin Blume-Kohout +2

We introduce two classes of lightweight, adaptive calibration protocols for quantum computers that leverage fast feedback. The first enables shot-by-shot updates to device paramete…

quant-ph2025★ 1 cited

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-ph2025

Emergent Non-Markovianity in Logical Qubit Dynamics

Jalan A. Ziyad, Robin Blume-Kohout, Kenneth Rudinger

Logical qubits encoded in quantum error correcting codes can exhibit non-Markovian dynamical evolution, even when the underlying physical noise is Markovian. To understand this eme…

quant-ph2025

Helios: A 98-qubit trapped-ion quantum computer

Anthony Ransford, M. S. Allman, Jake Arkinstall +183

We report on Quantinuum Helios, a 98-qubit trapped-ion quantum processor based on the quantum charge-coupled device (QCCD) architecture. Helios features Ba hyperfine…

quant-ph2025

Platform Architecture for Tight Coupling of High-Performance Computing with Quantum Processors

Shane A. Caldwell, Moein Khazraee, Elena Agostini +27

We propose an architecture, called NVQLink, for connecting high-performance computing (HPC) resources to the control system of a quantum processing unit (QPU) to accelerate workloa…

quant-ph2025

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…

quant-ph2025★ 11 cited

Experimental Demonstration of High-Fidelity Logical Magic States from Code Switching

Lucas Daguerre, Robin Blume-Kohout, Natalie C. Brown +2

Preparation of high-fidelity logical magic states has remained as a necessary but daunting step towards building a large-scale fault-tolerant quantum computer. One approach is to f…

quant-ph2025★ 1 cited

Efficient simulation of Clifford circuits with small Markovian errors

Ashe Miller, Corey Ostrove, Jordan Hines +3

Classical simulation of noisy quantum circuits is essential for understanding quantum computing experiments. It enables scalable error characterization, analysis of how noise impac…

quant-ph2025★ 1 cited

Estimating detector error models from syndrome data

Robin Blume-Kohout, Kevin Young

Protecting quantum information using quantum error correction (QEC) requires repeatedly measuring stabilizers to extract error syndromes that are used to identify and correct error…

quant-ph2025

Quantum Characterization, Verification, and Validation

Robin Blume-Kohout, Timothy Proctor, Kevin Young

Quantum characterization, verification, and validation (QCVV) is a set of techniques to probe, describe, and assess the behavior of quantum bits (qubits), quantum information-proce…

quant-ph2024

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-ph2024

Easy better quantum process tomography

Robin Blume-Kohout, Kenneth Rudinger, Timothy Proctor

Quantum process tomography (QPT), used to estimate the linear map that best describes a quantum operation, is usually performed using a priori assumptions about state preparation a…

quant-ph2024

Measuring error rates of mid-circuit measurements

Daniel Hothem, Jordan Hines, Charles Baldwin +3

High-fidelity mid-circuit measurements, which read out the state of specific qubits in a multiqubit processor without destroying them or disrupting their neighbors, are a critical…

quant-ph2024★ 7 cited

Certifying the quantumness of a nuclear spin qudit through its uniform precession

Arjen Vaartjes, Martin Nurizzo, Lin Htoo Zaw +16

Spin precession is a textbook example of dynamics of a quantum system that exactly mimics its classical counterpart. Here we challenge this view by certifying the quantumness of ex…

quant-ph2024★ 21 cited

A Practical Introduction to Benchmarking and Characterization of Quantum Computers

Akel Hashim, Long B. Nguyen, Noah Goss +16

Rapid progress in quantum technology has transformed quantum computing and quantum information science from theoretical possibilities into tangible engineering challenges. Breakthr…

quant-ph2024★ 65 cited

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…